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RonPub -- Research Online Publishing

RonPub (Research online Publishing) is an academic publisher of online, open access, peer-reviewed journals.  RonPub aims to provide a platform for researchers, developers, educators, and technical managers to share and exchange their research results worldwide.

RonPub Is Open Access:

RonPub publishes all of its journals under the open access model, defined under BudapestBerlin, and Bethesda open access declarations:

  • All articles published by RonPub is fully open access and online available to readers free of charge.  
  • All open access articles are distributed under  Creative Commons Attribution License,  which permits unrestricted use, distribution and reproduction free of charge in any medium, provided that the original work is properly cited. 
  • Authors retain all copyright to their work.
  • Authors may also publish the publisher's version of their paper on any repository or website. 

RonPub Is Cost-Effective:

To be able to provide open access journals, RonPub defray publishing cost by charging a one-time publication fee for each accepted article. One of RonPub objectives is providing a fast and high-quality but lower-cost publishing service. In order to ensure that the fee is never a barrier to publication, RonPub offers a fee waiver for authors who do not have funds to cover publication fees. We also offer a partial fee waiver for editors and reviewers of RonPub as as reward for their work. See the respective Journal webpage for the concrete publication fee.

RonPub Publication Criteria

What we are most concerned about is the quality, not quantity, of publications. We only publish high-quality scholarly papers. Publication Criteria describes the criteria that should be met for a contribution to be acceptable for publication in RonPub journals.

RonPub Publication Ethics Statement:

In order to ensure the publishing quality and the reputation of the publisher, it is important that all parties involved in the act of publishing adhere to the standards of the publishing ethical behaviour. To verify the originality of submissions, we use Plagiarism Detection Tools, like Anti-Plagiarism, PaperRater, Viper, to check the content of manuscripts submitted to our journals against existing publications.

RonPub follows the Code of Conduct of the Committee on Publication Ethics (COPE), and deals with the cases of misconduct according to the COPE Flowcharts

Long-Term Preservation in the German National Library

Our publications are archived and permanently-preserved in the German National Library. The publications, which are archived in the German National Library, are not only long-term preserved but also accessible in the future, because the German National Library ensures that digital data saved in the old formats can be viewed and used on current computer systems in the same way they were on the original systems which are long obsolete.

Where is RonPub?

RonPub is a registered corporation in Lübeck, Germany. Lübeck is a beautiful coastal city, owing wonderful sea resorts and sandy beaches as well as good restaurants. It is located in northern Germany and is 60 kilometer away from Hamburg.

OJIOT Cover
Open Journal of Internet of Things (OJIOT)
OJIOT, an open access and peer-reviewed online journal, publishes original and creative research results on the internet of things. OJIOT distributes its articles under the open access model. All articles of OJIOT are fully open access and online available to readers free of charge. There is no restriction on the length of the papers. Accepted manuscripts are published online immediately.
Publisher: RonPub UG (haftungsbeschränkt), Lübeck, Germany
Contact: OJIOT Editorial Office
ISSN: 2364-7108
Call for Papers: txtUTF-8 txtASCII pdf
OJIOT Cover
Open Journal of Internet of Things (OJIOT)
OJIOT, an open access and peer-reviewed online journal, publishes original and creative research results on the internet of things. OJIOT distributes its articles under the open access model. All articles of OJIOT are fully open access and online available to readers free of charge. There is no restriction on the length of the papers. Accepted manuscripts are published online immediately.
Publisher: RonPub UG (haftungsbeschränkt), Lübeck, Germany
Contact: OJIOT Editorial Office
ISSN: 2364-7108
Call for Papers: txtUTF-8 txtASCII pdf

Aims & Scope

The current internet with its applications like web browsing, emails, social networks and online games is human oriented. It is predicted that real objects will have a much bigger impact in the future internet. Any real object will be accessible and manageable via the internet, and real objects will automatically work in cooperation. This new vision is called as the internet of things (IoT). Realizing this vision offers a new dimension of real world services to the user.

OJIOT publishes regular research papers, short communications, reviews and visionary papers in all aspects of the internet of things. There is no restriction on the length of the papers. 

Short communications reports novel research ideas. The work represented should be technically sound and significantly advancing the state of the art. Short communications also include exploratory studies and methodological articles.

Regular research papers are full original findings with adequate experimental research. They make substantial theoretical and empirical contributions to the research field.  Research papers should be written in as concise a style as possible.

Research reviews are insightful and accessible overview of a certain field of research. They conceptualize research issues, synthesize existing findings and advance the understanding of the field. They may also suggest new research issues and directions.

Visionary papers identify new research issues and future research directions, and describe new research visions 

Topics relevant to this journal include, but are NOT limited to:

  • System architectures for IoT, e.g. 
    • things-centric, 
    • data-centric, 
    • event-centric, and
    • service-centric
  • IoT applications, including e.g.
    • smart homes/offices/cities, 
    • waste management, 
    • continuous care, 
    • emergency response, and 
    • intelligent shopping
  • Nano Technology, including e.g.
    • Nano Networks
    • Nano communication
    • Nano applications
    • Nano computing
    • Internet of Nano Tings
  • IoT programming toolkits and frameworks
  • IoT prototypes and evaluation test-beds
  • Privacy and security
  • IoT management and interoperability
  • Management of IoT streams
  • Enabling technologies and standards for the IoT
  • Spatial and temporal reasoning for IoT
  • Sustainability of IoT platforms, e.g. business models for deployment and maintenance
  • Societal challenges and IoT, e.g. urban planning and decision making tools
  • Ownership of data in IoT scenarios

Author Guidelines

Publication Criteria

Publication Criteria provides important information for authors to prepare their manuscripts with a high possibility of being accepted.

Manuscript Preparation

Please prepare your manuscripts using the manuscript template of the journal. It is available for download as word doc docx and latex version zip. The template describes the format and structure of manuscripts and other necessary information for preparing manuscripts. Manuscripts should be written in English. There is no restriction on the length of manuscripts.

Submission

Authors submit their manuscripts following the information on the submit pageAuthors first submit their manuscripts in PDF format. Once a manuscript is accepted, the author then submits the revised manuscript as a PDF file and a word file or latex folder (with all the material necessary to generate the PDF file). The work described in the submitted manuscript must be previously unpublished; it is not under consideration for publication anywhere else. 

Authors are welcome to suggest qualified reviewers for their papers, but this is not mandatory. If the author wants to do so, please provide the name, affiliations and e-mail addresses for all suggested reviewers.

Manuscript Status

After submission of manuscripts, authors will receive an email to confirm receipt of manuscripts. Subsequent enquiries concerning paper progress should be sent to the email address of the journal.

Review Procedure

OJIOT is committed to enforcing a rigorous peer-review process. All manuscripts submitted for publication in OJIOT are strictly and thoroughly peer-reviewed. When a manuscript is submitted, the editor-in-chief assigns it to an appropriate editor who will be in charge of the review process of the manuscript. The editor first suggests potential reviewers and then organizes the peer-reviewing herself/himself or entrusts it to the editor office. For each manuscript, typically three review reports will be collected. The editor and the editor-in-chief evaluate the manuscript itself and the review reports and make an accept/revision/reject decision. Authors will be informed with the decision and reviewing results within 6-8 weeks on average after the manuscript submission. In the case of revision, authors are required to perform an adequate revision to address the concerns from evaluation reports. A second round of peer-review will be performed if necessary.

Accepted manuscripts are published online immediately.

Copyrights

Authors publishing with RonPub open journals retain the copyright to their work. 

All articles published by RonPub is fully open access and online available to readers free of charge.  RonPub publishes all open access articles under the Creative Commons Attribution License,  which permits unrestricted use, distribution and reproduction freely, provided that the original work is properly cited.

Digital Archiving Policy

Our publications have been archived and permanently-preserved in the German National Library. The publications, which are archived in the German National Library, are not only long-term preserved but also accessible in the future, because the German National Library ensures that digital data saved in the old formats can be viewed and used on current computer systems in the same way they were on the original systems which are long obsolete. Further measures will be taken if necessary. Furthermore, we also encourage our authors to self-archive their articles published on the website of RonPub.

Publication Ethics Statement

In order to ensure the publishing quality and the reputation of the journal, it is important that all parties involved in the act of publishing adhere to the standards of the publishing ethical behaviour. To verify the originality of submissions, we use Plagiarism Detection Tools, like Anti-Plagiarism, PaperRater, Viper, to check the content of manuscripts submitted to our journals against existing publications.

Our journal follows the Code of Conduct of the Committee on Publication Ethics (COPE), and deals with the cases of misconduct according to the COPE Flowcharts

Articles of OJIOT

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 Open Access 

A Graph-Based Web Services Discovery Framework for IoT EcoSystem

Ivan Madjarov, Fatma Slaimi

Open Journal of Internet Of Things (OJIOT), 7(1), Pages 1-17, 2021, Downloads: 327

Full-Text: pdf | URN: urn:nbn:de:101:1-2021050919331013194824 | GNL-LP: 1233182323 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: Nowadays, the Internet of Things (IoT) represents an important topic and research domain with multiple objectives. However, most IoTs communicate poorly across the multitude of network interfaces. It should be preferably used a single universal application layer protocol for the devices and services interconnection, regardless of how they are physically connected. The IoT paradigm boosts the device connectivity and the user accessibility benefits of services introduced within the network of connected objects associated with a context-awareness. Within this frame of reference, Web service is the appropriate technological approach to exhibit a set of related IoT functionalities loosely coupled with other services discovered or composed through the Web. In this work, we consider the heterogeneity of connecting technologies for IoT and the applications and devices integration in a single interoperable framework as a research objective. With this in mind, we introduce a five layers multigraph model for Web Services discovery and recommendation, and we address Web services-based applications for IoT data integration. The launched service discovery process permits the interaction between the user/application and the IoT environment. In this context, the choice of suitable services represents a challenge that covers the functionality and the required quality to combine composite services, namely mashups for IoT data management and interconnection. For proof of concept, we test a RESTful Web Services framework as an experimental platform to animate a graph-based approach for dynamic IoT services discovery. We develop a recommender system that performs graph analytics to produce a set of services according to the user's request. The quality of the recommendation process is evaluated by analyzing the correlation of user satisfaction.

BibTex:

    @Article{OJIOT_2021v7i1n01_Madjarov,
        title     = {A Graph-Based Web Services Discovery Framework for IoT EcoSystem},
        author    = {Ivan Madjarov and
                     Fatma Slaimi},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2021},
        volume    = {7},
        number    = {1},
        pages     = {1--17},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2021050919331013194824},
        urn       = {urn:nbn:de:101:1-2021050919331013194824},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Nowadays, the Internet of Things (IoT) represents an important topic and research domain with multiple objectives. However, most IoTs communicate poorly across the multitude of network interfaces. It should be preferably used a single universal application layer protocol for the devices and services interconnection, regardless of how they are physically connected. The IoT paradigm boosts the device connectivity and the user accessibility benefits of services introduced within the network of connected objects associated with a context-awareness. Within this frame of reference, Web service is the appropriate technological approach to exhibit a set of related IoT functionalities loosely coupled with other services discovered or composed through the Web. In this work, we consider the heterogeneity of connecting technologies for IoT and the applications and devices integration in a single interoperable framework as a research objective. With this in mind, we introduce a five layers multigraph model for Web Services discovery and recommendation, and we address Web services-based applications for IoT data integration. The launched service discovery process permits the interaction between the user/application and the IoT environment. In this context, the choice of suitable services represents a challenge that covers the functionality and the required quality to combine composite services, namely mashups for IoT data management and interconnection. For proof of concept, we test a RESTful Web Services framework as an experimental platform to animate a graph-based approach for dynamic IoT  services discovery. We develop a recommender system that performs graph analytics to produce a set of services according to the user's request. The quality of the recommendation process is evaluated by analyzing the correlation of user satisfaction.}
    }

 Open Access 

Overview of the 2021 Edition of the Workshop on Very Large Internet of Things (VLIoT 2021)

Sven Groppe, Weizhi Meng

Open Journal of Internet Of Things (OJIOT), 7(1), Pages 18-22, 2021, Downloads: 472

Full-Text: pdf | URN: urn:nbn:de:101:1-2021082919330413733202 | GNL-LP: 1240130414 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: The Very Large Internet of Things (VLIoT) workshop aims at discussing the solutions of problems arising especially for large-scale Internet-of-Things (IoT) configurations. After online conferences and workshops are becoming the normal mode for running scientific events, after continuously monitoring the global COVID-19 pandemic this year with falling incidence rates in the last times due to vaccination successes, the workshop changes the format the first time to a hybrid event. This ensures that still problems are overcome like travel restrictions, but offers face-to-face discussions among those going to the local event. A hybrid format has still chances like an increased number of participants, less travel burdens and saving budget, but offers the possibility for going to the local event already for a large portion of the participants. Hence we received many high-quality submissions, from which we accepted 9 to be introduced in this editorial.

BibTex:

    @Article{OJIOT_2021v7i1n02e_VLIoT2021,
        title     = {Overview of the 2021 Edition of the Workshop on Very Large Internet of Things (VLIoT 2021)},
        author    = {Sven Groppe and
                     Weizhi Meng},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2021},
        volume    = {7},
        number    = {1},
        pages     = {18--22},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2021082919330413733202},
        urn       = {urn:nbn:de:101:1-2021082919330413733202},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {The Very Large Internet of Things (VLIoT) workshop aims at discussing the solutions of problems arising especially for large-scale Internet-of-Things (IoT) configurations. After online conferences and workshops are becoming the normal mode for running scientific events, after continuously monitoring the global COVID-19 pandemic this year with falling incidence rates in the last times due to vaccination successes, the workshop changes the format the first time to a hybrid event. This ensures that still problems are overcome like travel restrictions, but offers face-to-face discussions among those going to the local event. A hybrid format has still chances like an increased number of participants, less travel burdens and saving budget, but offers the possibility for going to the local event already for a large portion of the participants. Hence we received many high-quality submissions, from which we accepted 9 to be introduced in this editorial.}
    }

 Open Access 

Video Source Forensics for IoT Devices Based on Convolutional Neural Networks

Dongzhu Rong, Yan Wang, Qindong Sun

Open Journal of Internet Of Things (OJIOT), 7(1), Pages 23-31, 2021, Downloads: 487

Full-Text: pdf | URN: urn:nbn:de:101:1-2021082919330983129965 | GNL-LP: 1240130422 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: With the wide application of Internet of things devices and the rapid development of multimedia technology, digital video has become one of the important information dissemination carriers among Internet of things devices, and it has been widely used in many fields such as news media, digital forensics and so on. However, the current video editing technology is constantly developing and improving, which seriously threatens the integrity and authenticity of digital video. Therefore, the research on digital video forensics has a great significance. In this paper, a new video source passive forensics algorithm based on Convolutional Neural Networks(CNN) is proposed. CNN is used to classify the maximum information block of specified size in video I frame, and then the classification results are fused to determine the camera to which the video belongs. Experimental results show that the recognition algorithm proposed in this paper has a better performance than other methods in trems of accuracy and ROC curve. And our method still can have a good recognition effect even if a small number of I frames are used for recognition.

BibTex:

    @Article{OJIOT_2021v7i1n03_Rong,
        title     = {Video Source Forensics for IoT Devices Based on Convolutional Neural Networks},
        author    = {Dongzhu Rong and
                     Yan Wang and
                     Qindong Sun},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2021},
        volume    = {7},
        number    = {1},
        pages     = {23--31},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2021082919330983129965},
        urn       = {urn:nbn:de:101:1-2021082919330983129965},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {With the wide application of Internet of things devices and the rapid development of multimedia technology, digital video has become one of the important information dissemination carriers among Internet of things devices, and it has been widely used in many fields such as news media, digital forensics and so on. However, the current video editing technology is constantly developing and improving, which seriously threatens the integrity and authenticity of digital video. Therefore, the research on digital video forensics has a great significance. In this paper, a new video source passive forensics algorithm based on Convolutional Neural Networks(CNN) is proposed. CNN is used to classify the maximum information block of specified size in video I frame, and then the classification results are fused to determine the camera to which the video belongs. Experimental results show that the recognition algorithm proposed in this paper has a better performance than other methods in trems of accuracy and ROC curve. And our method still can have a good recognition effect even if a small number of I frames are used for recognition.}
    }

 Open Access 

Realizing the Digital Twin Transition for Smart Cities

Jonathan Fürst, Bin Cheng, Benjamin Hebgen

Open Journal of Internet Of Things (OJIOT), 7(1), Pages 32-42, 2021, Downloads: 546

Full-Text: pdf | URN: urn:nbn:de:101:1-2021082919331474662784 | GNL-LP: 1240130449 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: The digital twin transition for cities is expected to improve, among others, living quality, carbon footprint and generate new business opportunities across different organizations. However, as cities consist of many separate entities that are in close and frequent interaction with each other, it is not possible to simply apply digital twin concepts from the engineering and manufacturing domains in a silo-ed fashion for each entity. In this paper, we distill the requirements and challenges to develop digital twins for smart cities based on a typical smart city use case. We follow with a first systematic approach to address them in a data-driven fashion to realize the digital twin transition for cities.

BibTex:

    @Article{OJIOT_2021v7i1n04_Fuerst,
        title     = {Realizing the Digital Twin Transition for Smart Cities},
        author    = {Jonathan F{\"u}rst and
                     Bin Cheng and
                     Benjamin Hebgen},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2021},
        volume    = {7},
        number    = {1},
        pages     = {32--42},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2021082919331474662784},
        urn       = {urn:nbn:de:101:1-2021082919331474662784},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {The digital twin transition for cities is expected to improve, among others, living quality, carbon footprint and generate new business opportunities across different organizations. However, as cities consist of many separate entities that are in close and frequent interaction with each other, it is not possible to simply apply digital twin concepts from the engineering and manufacturing domains in a silo-ed fashion for each entity. In this paper, we distill the requirements and challenges to develop digital twins for smart cities based on a typical smart city use case. We follow with a first systematic approach to address them in a data-driven fashion to realize the digital twin transition for cities.}
    }

 Open Access 

A Mobile and Web Platform for Crowdsourcing OBD-II Vehicle Data

Giuseppe Loseto, Filippo Gramegna, Agnese Pinto, Michele Ruta, Floriano Scioscia

Open Journal of Internet Of Things (OJIOT), 7(1), Pages 43-58, 2021, Downloads: 485

Full-Text: pdf | URN: urn:nbn:de:101:1-2021082919332057007441 | GNL-LP: 1240130457 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: On-Board Diagnostics 2 (OBD-II) protocol allows monitoring vehicle status parameters. Analyzing them is highly useful for Intelligent Transportation Systems (ITS) research, applications and services. Unfortunately, large-scale OBD datasets are not publicly available due to the effort of producing them as well as due to competitiveness in the automotive sector. This paper proposes a framework to enable a worldwide crowdsourcing approach to the generation of OBD-II data, similarly to OpenStreetMap (OSM) for cartography. The proposal comprises: (i) an extension of the GPX data format for route logging, augmented with OBD-II parameters; (ii) a fork of an open source Android OBD-II data logger to store and upload route traces, and (iii) a Web platform extending the OSM codebase to support storage, search and editing of traces with embedded OBD data. A full platform prototype has been developed and early scalability tests have been carried out in various workloads to assess the sustainability of the proposal.

BibTex:

    @Article{OJIOT_2021v7i1n05_Loseto,
        title     = {A Mobile and Web Platform for Crowdsourcing OBD-II Vehicle Data},
        author    = {Giuseppe Loseto and
                     Filippo Gramegna and
                     Agnese Pinto and
                     Michele Ruta and
                     Floriano Scioscia},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2021},
        volume    = {7},
        number    = {1},
        pages     = {43--58},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2021082919332057007441},
        urn       = {urn:nbn:de:101:1-2021082919332057007441},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {On-Board Diagnostics 2 (OBD-II) protocol allows monitoring vehicle status parameters. Analyzing them is highly useful for Intelligent Transportation Systems (ITS) research, applications and services. Unfortunately, large-scale OBD datasets are not publicly available due to the effort of producing them as well as due to competitiveness in the automotive sector. This paper proposes a framework to enable a worldwide crowdsourcing approach to the generation of OBD-II data, similarly to OpenStreetMap (OSM) for cartography. The proposal comprises: (i) an extension of the GPX data format for route logging, augmented with OBD-II parameters; (ii) a fork of an open source Android OBD-II data logger to store and upload route traces, and (iii) a Web platform extending the OSM codebase to support storage, search and editing of traces with embedded OBD data. A full platform prototype has been developed and early scalability tests have been carried out in various workloads to assess the sustainability of the proposal.}
    }

 Open Access 

Streaming Data through the IoT via Actor-Based Semantic Routing Trees

Dimitrios Giouroukis, Johannes Jestram, Steffen Zeuch, Volker Markl

Open Journal of Internet Of Things (OJIOT), 7(1), Pages 59-70, 2021, Downloads: 428

Full-Text: pdf | URN: urn:nbn:de:101:1-2021082919332566828749 | GNL-LP: 1240130473 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: The Internet of Things (IoT) enables the usage of resources at the edge of the network for various data management tasks that are traditionally executed in the cloud. However, the heterogeneity of devices and communication methods in a multi-tiered IoT environment (cloud/fog/edge) exacerbates the problem of deciding which nodes to use for processing and how to route data. In addition, both decisions cannot be made only statically for the entire lifetime of an application, as an IoT environment is highly dynamic and nodes in the same topology can be both stationary and mobile as well as reliable and volatile. As a result of these different characteristics, an IoT data management system that spans across all tiers of an IoT network cannot meet the same availability assumptions for all its nodes. To address the problem of choosing ad-hoc which nodes to use and include in a processing workload, we propose a networking component that uses a-priori as well as ad-hoc routing information from the network. Our approach, called Rime, relies on keeping track of nodes at the gateway level and exchanging routing information with other nodes in the network. By tracking nodes while the topology evolves in a geo-distributed manner, we enable efficient communication even in the case of frequent node failures. Our evaluation shows that Rime keeps in check communication costs and message transmissions by reducing unnecessary message exchange by up to 82:65%.

BibTex:

    @Article{OJIOT_2021v7i1n06_Giouroukis,
        title     = {Streaming Data through the IoT via Actor-Based Semantic Routing Trees},
        author    = {Dimitrios Giouroukis and
                     Johannes Jestram and
                     Steffen Zeuch and
                     Volker Markl},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2021},
        volume    = {7},
        number    = {1},
        pages     = {59--70},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2021082919332566828749},
        urn       = {urn:nbn:de:101:1-2021082919332566828749},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {The Internet of Things (IoT) enables the usage of resources at the edge of the network for various data management tasks that are traditionally executed in the cloud. However, the heterogeneity of devices and communication methods in a multi-tiered IoT environment (cloud/fog/edge) exacerbates the problem of deciding which nodes to use for processing and how to route data. In addition, both decisions cannot be made only statically for the entire lifetime of an application, as an IoT environment is highly dynamic and nodes in the same topology can be both stationary and mobile as well as reliable and volatile. As a result of these different characteristics, an IoT data management system that spans across all tiers of an IoT network cannot meet the same availability assumptions for all its nodes. To address the problem of choosing ad-hoc which nodes to use and include in a processing workload, we propose a networking component that uses a-priori as well as ad-hoc routing information from the network. Our approach, called Rime, relies on keeping track of nodes at the gateway level and exchanging routing information with other nodes in the network. By tracking nodes while the topology evolves in a geo-distributed manner, we enable efficient communication even in the case of frequent node failures. Our evaluation shows that Rime keeps in check communication costs and message transmissions by reducing unnecessary message exchange by up to 82:65\%.}
    }

 Open Access 

Monitoring of Stream Processing Engines Beyond the Cloud: An Overview

Xenofon Chatziliadis, Eleni Tzirita Zacharatou, Steffen Zeuch, Volker Markl

Open Journal of Internet Of Things (OJIOT), 7(1), Pages 71-82, 2021, Downloads: 455

Full-Text: pdf | URN: urn:nbn:de:101:1-2021082919333128288412 | GNL-LP: 1240130481 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: The Internet of Things (IoT) is rapidly growing into a network of billions of interconnected physical devices that constantly stream data. To enable data-driven IoT applications, data management systems like NebulaStream have emerged that manage and process data streams, potentially in combination with data at rest, in a heterogeneous distributed environment of cloud and edge devices. To perform internal optimizations, an IoT data management system requires a monitoring component that collects system metrics of the underlying infrastructure and application metrics of the running processing tasks. In this paper, we explore the applicability of existing cloud-based monitoring solutions for stream processing engines in an IoT environment. To this end, we provide an overview of commonly used approaches, discuss their design, and outline their suitability for the IoT. Furthermore, we experimentally evaluate different monitoring scenarios in an IoT environment and highlight bottlenecks and inefficiencies of existing approaches. Based on our study, we show the need for novel monitoring solutions for the IoT and define a set of requirements.

BibTex:

    @Article{OJIOT_2021v7i1n07_Chatziliadis,
        title     = {Monitoring of Stream Processing Engines Beyond the Cloud: An Overview},
        author    = {Xenofon Chatziliadis and
                     Eleni Tzirita Zacharatou and
                     Steffen Zeuch and
                     Volker Markl},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2021},
        volume    = {7},
        number    = {1},
        pages     = {71--82},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2021082919333128288412},
        urn       = {urn:nbn:de:101:1-2021082919333128288412},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {The Internet of Things (IoT) is rapidly growing into a network of billions of interconnected physical devices that constantly stream data. To enable data-driven IoT applications, data management systems like NebulaStream have emerged that manage and process data streams, potentially in combination with data at rest, in a heterogeneous distributed environment of cloud and edge devices. To perform internal optimizations, an IoT data management system requires a monitoring component that collects system metrics of the underlying infrastructure and application metrics of the running processing tasks. In this paper, we explore the applicability of existing cloud-based monitoring solutions for stream processing engines in an IoT environment. To this end, we provide an overview of commonly used approaches, discuss their design, and outline their suitability for the IoT. Furthermore, we experimentally evaluate different monitoring scenarios in an IoT environment and highlight bottlenecks and inefficiencies of existing approaches. Based on our study, we show the need for novel monitoring solutions for the IoT and define a set of requirements.}
    }

 Open Access 

Massive Wireless Energy Transfer with Multiple Power Beacons for Very Large Internet of Things

Osmel Martinez Rosabal, Onel L. Alcaraz Lopez, Hirley Alves, Richard D. Souza, Samuel Montejo-Sanchez

Open Journal of Internet Of Things (OJIOT), 7(1), Pages 83-92, 2021, Downloads: 430

Full-Text: pdf | URN: urn:nbn:de:101:1-2021082919333702287224 | GNL-LP: 124013049X | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: The Internet of Things (IoT) comprises an increasing number of low-power and low-cost devices that autonomously interact with the surrounding environment. As a consequence of their popularity, future IoT deployments will be massive, which demands energy-efficient systems to extend their lifetime and improve the user experience. Radio frequency wireless energy transfer has the potential of powering massive IoT networks, thus eliminating the need for frequent battery replacement by using the so-called power beacons (PBs). In this paper, we provide a framework for minimizing the sum transmit power of the PBs using devices' positions information and their current battery state. Our strategy aims to reduce the PBs' power consumption and to mitigate the possible impact of the electromagnetic radiation on human health. We also present analytical insights for the case of very distant clusters and evaluate their applicability. Numerical results show that our proposed framework reduces the outage probability as the number of PBs and/or the energy demands increase.

BibTex:

    @Article{OJIOT_2021v7i1n08_Rosabal,
        title     = {Massive Wireless Energy Transfer with Multiple Power Beacons for Very Large Internet of Things},
        author    = {Osmel Martinez Rosabal and
                     Onel L. Alcaraz Lopez and
                     Hirley Alves and
                     Richard D. Souza and
                     Samuel Montejo-Sanchez},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2021},
        volume    = {7},
        number    = {1},
        pages     = {83--92},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2021082919333702287224},
        urn       = {urn:nbn:de:101:1-2021082919333702287224},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {The Internet of Things (IoT) comprises an increasing number of low-power and low-cost devices that autonomously interact with the surrounding environment. As a consequence of their popularity, future IoT deployments will be massive, which demands energy-efficient systems to extend their lifetime and improve the user experience. Radio frequency wireless energy transfer has the potential of powering massive IoT networks, thus eliminating the need for frequent battery replacement by using the so-called power beacons (PBs). In this paper, we provide a framework for minimizing the sum transmit power of the PBs using devices' positions information and their current battery state. Our strategy aims to reduce the PBs' power consumption and to mitigate the possible impact of the electromagnetic radiation on human health. We also present analytical insights for the case of very distant clusters and evaluate their applicability. Numerical results show that our proposed framework reduces the outage probability as the number of PBs and/or the energy demands increase.}
    }

 Open Access 

Network Metrics Detection to Support Internet of Things Application Orchestration

Thamires C. Luz, Cintia B. Margi, Fabio L. Verdi

Open Journal of Internet Of Things (OJIOT), 7(1), Pages 93-103, 2021, Downloads: 422

Full-Text: pdf | URN: urn:nbn:de:101:1-2021082919334207736575 | GNL-LP: 1240130503 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: Software DefinedWireless Sensor Networks (SDWSN) play an important role to serve as an infrastructure to Internet of Things (IoT) applications. In order to improve coverage, reduce costs, and make better use of the available resources, sharing the infrastructure among multiple applications is necessary. Works in the literature aim to enable resource sharing by allocating applications dynamically according to the resources available on the node. However, these works do not monitor if a node stops complying with application requirements once the application is allocated. Thus, network metrics detection is essential to identify nodes that are not able to comply with the application requirements. In this paper, we present the IT-SDN Manager architecture which is composed of a monitoring module and a resource orchestrator. The monitoring module monitors the network metrics, enabling the orchestrator to identify nodes that reach a certain threshold for energy available and packet loss. This threshold configuration depends on the metric characteristics. For packet loss, we present a study showing how it should be defined according to the network size and applications executed in the network. In order to evaluate the orchestrator detection rate, we set two application requirements to identify nodes that reach 90% of available energy and packet loss greater than the obtained threshold for each scenario studied. Results from the simulations executed show that the resource orchestrator detects all the nodes that reach the available energy threshold, and at least 85%, with an average of 97%, of the nodes that reach the packet loss threshold.

BibTex:

    @Article{OJIOT_2021v7i1n09_Luz,
        title     = {Network Metrics Detection to Support Internet of Things Application Orchestration},
        author    = {Thamires C. Luz and
                     Cintia B. Margi and
                     Fabio L. Verdi},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2021},
        volume    = {7},
        number    = {1},
        pages     = {93--103},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2021082919334207736575},
        urn       = {urn:nbn:de:101:1-2021082919334207736575},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Software DefinedWireless Sensor Networks (SDWSN) play an important role to serve as an infrastructure to Internet of Things (IoT) applications. In order to improve coverage, reduce costs, and make better use of the available resources, sharing the infrastructure among multiple applications is necessary. Works in the literature aim to enable resource sharing by allocating applications dynamically according to the resources available on the node. However, these works do not monitor if a node stops complying with application requirements once the application is allocated. Thus, network metrics detection is essential to identify nodes that are not able to comply with the application requirements. In this paper, we present the IT-SDN Manager architecture which is composed of a monitoring module and a resource orchestrator. The monitoring module monitors the network metrics, enabling the orchestrator to identify nodes that reach a certain threshold for energy available and packet loss. This threshold configuration depends on the metric characteristics. For packet loss, we present a study showing how it should be defined according to the network size and applications executed in the network. In order to evaluate the orchestrator detection rate, we set two application requirements to identify nodes that reach 90\% of available energy and packet loss greater than the obtained threshold for each scenario studied. Results from the simulations executed show that the resource orchestrator detects all the nodes that reach the available energy threshold, and at least 85\%, with an average of 97\%, of the nodes that reach the packet loss threshold.}
    }

 Open Access 

Data-Centric Edge Federation: A Multi-Edge Architecture for Data Stream Processing of IoT Applications

Tiago C. S. Xavier, Paulo F. Pires, Flavia C. Delicato

Open Journal of Internet Of Things (OJIOT), 7(1), Pages 104-115, 2021, Downloads: 474

Full-Text: pdf | URN: urn:nbn:de:101:1-2021082919334774324679 | GNL-LP: 1240130511 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: Emerging Internet of Things (IoT) applications demand data stream processing with low latency and high processing power. Although the cloud naturally provides huge processing capacity, high latency to move data to the datacenter is prohibitive. Edge computing is a recent paradigm where part of computing and storage resources are pushed from the cloud to the edge of the network. In edge computing, edge providers manage their resources near to IoT devices to meet low latency application requirements and reduce the network core bandwidth. To reach the maximum potential of edge computing, a big challenge is to promote the cooperation between edge providers. Currently, edge computing architectures are severely limited for providing cooperation mechanisms between distinct edge providers. In this paper, we propose a edge federation to leverage the cooperation between different edge providers. The edge federation uses interest information propagated in data streams that travel between edge providers to allow an stakeholder to react to inefficient resource allocation and service provision. The main objective of the federation is to create a consortium of edge providers to provide cooperation mechanisms and define and standardize the application interests. The proposed edge federation is (i) data-centric, since edge providers can share common interests and data and, thus, establish cooperation to increase the capacity to provide services for applications; (ii) distributed, since no assumption is made concerning the geo-location of the edge providers and their logical connections; (iii) opportunistic, because an edge provider can react dynamically to the environment change ; (iv) scalable, since the edge provider has the ability to analyze a data flow passing by its infrastructure and make decisions to increase network performance locally, which impacts the global performance

BibTex:

    @Article{OJIOT_2021v7i1n10_Xavier,
        title     = {Data-Centric Edge Federation: A Multi-Edge Architecture for Data Stream Processing of IoT Applications},
        author    = {Tiago C. S. Xavier and
                     Paulo F. Pires and
                     Flavia C. Delicato},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2021},
        volume    = {7},
        number    = {1},
        pages     = {104--115},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2021082919334774324679},
        urn       = {urn:nbn:de:101:1-2021082919334774324679},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Emerging Internet of Things (IoT) applications demand data stream processing with low latency and high processing power. Although the cloud naturally provides huge processing capacity, high latency to move data to the datacenter is prohibitive. Edge computing is a recent paradigm where part of computing and storage resources are pushed from the cloud to the edge of the network. In edge computing, edge providers manage their resources near to IoT devices to meet low latency application requirements and reduce the network core bandwidth. To reach the maximum potential of edge computing, a big challenge is to promote the cooperation between edge providers. Currently, edge computing architectures are severely limited for providing cooperation mechanisms between distinct edge providers. In this paper, we propose a edge federation to leverage the cooperation between different edge providers. The edge federation uses interest information propagated in data streams that travel between edge providers to allow an stakeholder to react to inefficient resource allocation and service provision. The main objective of the federation is to create a consortium of edge providers to provide cooperation mechanisms and define and standardize the application interests. The proposed edge federation is (i) data-centric, since edge providers can share common interests and data and, thus, establish cooperation to increase the capacity to  provide services for applications; (ii) distributed, since no assumption is made concerning the geo-location of the edge providers and their logical connections; (iii) opportunistic, because an edge provider can react dynamically to the environment change ; (iv) scalable, since the edge provider has the ability to analyze a data flow passing by its infrastructure and make decisions to increase network performance locally, which impacts the global performance}
    }

 Open Access 

Building Next Generation IoT Infrastructure for Enabling M2M Crypto Economy

Suat Mercan, Kemal Akkaya

Open Journal of Internet Of Things (OJIOT), 7(1), Pages 116-124, 2021, Downloads: 466

Full-Text: pdf | URN: urn:nbn:de:101:1-2021082919335284680103 | GNL-LP: 1240130538 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: As Bitcoin and other cryptocurrencies are becoming part of our lives, there is a growing interest to enable using them in our daily lives even for micropayments. This interest stems from many factors including privacy, convenience and overhead/fraud that comes with credit cards. In this regard, Internet of Things (IoT) devices can also benefit from this feature for enabling touchless payments for users. However, there is even a bigger opportunity there considering the nature and diversity of very large-scale unattended IoT devices. The integration of any IoT device with blockchain including cryptocurrencies and smart contracts can trigger a machine-to-machine (M2M) economy revolution by streamlining business among IoT devices. Under such a future business model, IoT devices can autonomously request a service and make a payment in return. Such a large-scale ecosystem should rely on various components thus requiring a paradigm shift on the current design and understanding of the IoT systems. In particular, decentralized architecture of blockchain with cryptocurrency and smart contract capability can be a key enabler. In this vision paper, we advocate the need and necessary elements of a M2M crypto economy infrastructure and investigate the role of blockchain in realizing this vision. We specifically focus on the advantages and challenges of blockchain-based systems along with the existing proposed solutions. We then offer several future directions in creating such a M2M economy.

BibTex:

    @Article{OJIOT_2021v7i1n11_Mercan,
        title     = {Building Next Generation IoT Infrastructure for Enabling M2M Crypto Economy},
        author    = {Suat Mercan and
                     Kemal Akkaya},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2021},
        volume    = {7},
        number    = {1},
        pages     = {116--124},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2021082919335284680103},
        urn       = {urn:nbn:de:101:1-2021082919335284680103},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {As Bitcoin and other cryptocurrencies are becoming part of our lives, there is a growing interest to enable using them in our daily lives even for micropayments. This interest stems from many factors including privacy, convenience and overhead/fraud that comes with credit cards. In this regard, Internet of Things (IoT) devices can also benefit from this feature for enabling touchless payments for users. However, there is even a bigger opportunity there considering the nature and diversity of very large-scale unattended IoT devices. The integration of any IoT device with blockchain including cryptocurrencies and smart contracts can trigger a machine-to-machine (M2M) economy revolution by streamlining business among IoT devices. Under such a future business model, IoT devices can autonomously request a service and make a payment in return. Such a large-scale ecosystem should rely on various components thus requiring a paradigm shift on the current design and understanding of the IoT systems. In particular, decentralized architecture of blockchain with cryptocurrency and smart contract capability can be a key enabler. In this vision paper, we advocate the need and necessary elements of a M2M crypto economy infrastructure and investigate the role of blockchain in realizing this vision. We specifically focus on the advantages and challenges of blockchain-based systems along with the existing proposed solutions. We then offer several future directions in creating such a M2M economy.}
    }

 Open Access 

Hierarchical Data Integrity for IoT Devices in Connected Health Applications

Maryam Karimi, Prashant Krishnamurthy

Open Journal of Internet Of Things (OJIOT), 7(1), Pages 125-149, 2021, Downloads: 49

Full-Text: pdf | URN: (being assigned by the German National Library) | GNL-LP: (being archived by the German National Library) | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: Internet of things devices are increasingly replacing expensive monitoring devices in many environments such as healthcare. People can eventually own their data, collected from smart personal devices, store them in a variety of cloud services, and make them available to service providers of their choice. In such cases, whenever service providers use these data to provide appropriate services, the data owner may become responsible for ensuring the integrity of data retrieved from multiple points. We present a Hierarchical Data Integrity (HDI) approach to verify if the data, sent by monitoring devices to the cloud, remain unchanged. It is hierarchical as follows: there is a quick verification of the integrity of recent health data (in less than 1 ms), followed if necessary by a low overhead secure option for verifying the integrity of both recent and historical data (still only in 6:1 ms). Further, the hierarchy allows granular identification of data units that fail integrity checks, without requiring any key sharing. It is possible for a data owner to periodically (randomly) use a more secure process to verify the integrity of data. This reduces the computation, storage, and time of integrity verification as shown by analysis, simulation, and hardware implementation.

BibTex:

    @Article{OJIOT_2021v7i1n12_Karimi,
        title     = {Hierarchical Data Integrity for IoT Devices in Connected Health Applications},
        author    = {Maryam Karimi and
                     Prashant Krishnamurthy},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2021},
        volume    = {7},
        number    = {1},
        pages     = {125--149},
        url       = {https://www.ronpub.com/ojiot/OJIOT_2021v7i1n12_Karimi.html},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Internet of things devices are increasingly replacing expensive monitoring devices in many environments such as healthcare. People can eventually own their data, collected from smart personal devices, store them in a variety of cloud services, and make them available to service providers of their choice. In such cases, whenever service providers use these data to provide appropriate services, the data owner may become responsible for ensuring the integrity of data retrieved from multiple points. We present a Hierarchical Data Integrity (HDI) approach to verify if the data, sent by monitoring devices to the cloud, remain unchanged. It is hierarchical as follows: there is a quick verification of the integrity of recent health data (in less than 1 ms), followed if necessary by a low overhead secure option for verifying the integrity of both recent and historical data (still only in 6:1 ms). Further, the hierarchy allows granular identification of data units that fail integrity checks, without requiring any key sharing. It is possible for a data owner to periodically (randomly) use a more secure process to verify the integrity of data. This reduces the computation, storage, and time of integrity verification as shown by analysis, simulation, and hardware implementation.}
    }

OJIOT Publication Fees

All articles published by RonPub are fully open access and online available to readers free of charge. To be able to provide open access journals, RonPub defrays the costs (induced by processing and editing of manuscripts, provision and maintenance of infrastructure, and routine operation and management of journals) by charging an one-time publication fee for each accepted article. In order to ensure that the fee is never a barrier to publication, RonPub offers a fee waiver for authors from low-income countries. Authors who do not have funds to cover publication fees should submit an application during the submission process. Applications of waiver will be examined on a case by case basis. The scientific committee members of RonPub are entitled a partial waiver of the standard publication fees as reward for their work. 

  • Standard publication fee: 338 Euro (excluding tax).
  • Authors from the low-income countries: 71% waiver of the standard publication fee. (Note: The list is subject to change based on the data of the World Bank Group.):
    Afghanistan, Bangladesh, Benin, Bhutan, Bolivia (Plurinational State of), Burkina Faso, Burundi, Cambodia, Cameroon, Central African Republic, Chad, Comoros, Congo (Democratic Republic), Côte d'Ivoire, Djibouti, Eritrea, Ethiopia, Gambia, Ghana, Guinea, Guinea-Bissau, Haiti, Honduras, Kenya, Kiribati, Korea (Democratic People’s Republic), Kosovo, Kyrgyz Republic, Lao (People’s Democratic Republic), Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania, Micronesia (Federated States of), Moldova, Morocco, Mozambique, Myanmar, Nepal, Nicaragua, Niger, Nigeria, Papua New Guinea, Rwanda, Senegal, Sierra Leone, Solomon Islands, Somalia, South Sudan, Sudan, Swaziland, Syrian Arab Republic, São Tomé and Principe, Tajikistan, Tanzania, Timor-Leste, Togo, Uganda, Uzbekistan, Vietnam, West Bank and Gaza Strip, Yemen (Republic), Zambia, Zimbabwe
  • Scientific committee members: 25% waiver of the standard publication fee.
  • Guest editors and reviewers: 25% waiver of the standard publication fee for one year.

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Editors and reviewers have no access to payment information. The inability to pay will not influence the decision to publish a paper; decisions to publish are only based on the quality of work and the editorial criteria.

OJIOT Indexing

In order for our publications getting widely abstracted, indexed and cited, the following methods are employed:

  • Various meta tags are embedded in each publication webpage, including Google Scholar Tags, Dublic Core, EPrints, BE Press and Prism. This enables crawlers of e.g. Google Scholar to discover and index our publications.
  • Different metadata export formats are provided for each article, including BibTex, XML, RSS and RDF. This makes readers to cite our papers easily.
  • An OAI-PMH interface is implemented, which facilitates our article metadata harvesting by indexing services and databases.

The paper Getting Indexed by Bibliographic Databases in the Area of Computer Science provides a comprehensive survey on indexing formats, techniques and databases. We will also continue our efforts on dissemination and indexing of our publications.

OJIOT has been indexed by the following libraries and bibliographic databases:

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Our publications have been archived and permanently-preserved in the German National Library. The publications, which are archived in the German National Library, are not only long-term preserved but also accessible in the future, because the German National Library ensures that digital data saved in the old formats can be viewed and used on current computer systems in the same way they were on the original systems which are long obsolete. Further measures will be taken if necessary. Furthermore, we also encourage our authors to self-archive their articles published on the website of RonPub.

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About RonPub

RonPub is academic publisher of online, open access, peer-reviewed journals. All articles published by RonPub is fully open access and online available to readers free of charge.

RonPub is located in Lübeck, Germany. Lübeck is a beautiful harbour city, 60 kilometer away from Hamburg.

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As a reward for the work of a Editor-in-Chief, the Editor-in-Chief will obtain a 25% discount of the standard publication fee for her/his papers (the Editor-in-Chief is one of authors) published in any of RonPub journals.

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Editors assist the Editor-in-Chief in the scientific quality and in decision about topics of the journal. Editors are also encouraged to help to promote the journal among their peers and at conferences. An editor invites at least three reviewers to review a manuscript, but may also review him-/herself the manuscript. After carefully evaluating the review reports and the manuscript itself, the editor makes a commendation about the status of the manuscript. The editor's evaluation as well as the review reports are then sent to EiC, who make the final decision whether a paper can be published after peer-review and revisions. 

The communication with Editorial Board members is done primarily by E-mail, and the Editors are expected to respond within a few working days on any question sent by the Editorial Office so that manuscripts can be processed in a timely fashion. If an editor does not respond or cannot process the work in time, and under some special situations, the editorial office may forward the requests to the Publishers or Editor-in-Chief, who will take the decision directly.

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Guest Editors are responsible of the scientific quality of their special issues. Guest Editors will be in charge of inviting papers, of supervising the refereeing process (each paper should be reviewed at least by three reviewers), and of making decisions on the acceptance of manuscripts submitted to their special issue. As regular issues, all accepted papers by (guest) editors will be sent to the EiC of the journal, who will check the quality of the papers, and make the final decsion whether a paper can be published.

Our editorial office will have the right directly asking authors to revise their paper if there are quality issues, e.g. weak quality of writing, and missing information. Authors are required to revise their paper several times if necessary. A paper accepted by it's quest editor may be rejected by the EiC of the journal due to a low quality. However, this occurs only when authors do not really take efforts to revise their paper. A high-quality publication needs the common efforts from the journal, reviewers, editors, editor-in-chief and authors.

The Guest Editors are also expected to write an editorial paper for the special issue. As a reward for work, all guest editors and reviewers working on a special issue will obtain a 25% discount of the standard publication fee for any of their papers published in any of RonPub journals for one year.

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A reviewer is mainly responsible for reviewing of manuscripts, writing reviewing report and suggesting acception or deny of manuscripts. Reviews are encouraged to provide input about the quality and management of the journal, and help promote the journal among their peers and at conferences.  

Upon the quality of reviewing work, a reviewer will have the potential to be promoted to a full editorial board member. 

As a reward for the reviewing work, a reviewer will obtain a 25% discount of the standard publication fee for her/his papers (the review is one of authors) published in any of RonPub journals.

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RonPub always welcomes suggestions for new open access journals in any research area. We are also open for publishing collaborations with research societies. Please send your proposals for new journals or for publishing collaboration to This email address is being protected from spambots. You need JavaScript enabled to view it. .

Publication Criteria

This part provides important information for both the scientific committees and authors.

Ethic Requirement:

For scientific committees: Each editor and reviewer should conduct the evaluation of manuscripts objectively and fairly.
For authors: Authors should present their work honestly without fabrication, falsification, plagiarism or inappropriate data manipulation.

Pre-Check:

In order to filter fabricated submissions, the editorial office will check the authenticity of the authors and their affiliations before a peer-review begins. It is important that the authors communicate with us using the email addresses of their affiliations and provide us the URL addresses of their affiliations. To verify the originality of submissions, we use various plagiarism detection tools to check the content of manuscripts submitted to our journal against existing publications. The overall quality of paper will be also checked including format, figures, tables, integrity and adequacy. Authors may be required to improve the quality of their paper before sending it out for review. If a paper is obviously of low quality, the paper will be directly rejected.

Acceptance Criteria:

The criteria for acceptance of manuscripts are the quality of work. This will concretely be reflected in the following aspects:

  • Novelty and Practical Impact
  • Technical Soundness
  • Appropriateness and Adequacy of 
    • Literature Review
    • Background Discussion
    • Analysis of Issues
  • Presentation, including 
    • Overall Organization 
    • English 
    • Readability

For a contribution to be acceptable for publication, these points should be at least in middle level.

Guidelines for Rejection:

  • If the work described in the manuscript has been published, or is under consideration for publication anywhere else, it will not be evaluated.
  • If the work is a plagiarism, or contains data falsification or fabrication, it will be rejected.
  • Manuscripts, which have seriously technical flaws, will not be accepted.

Call for Journals

Research Online Publishing (RonPub, www.ronpub.com) is a publisher of online, open access and peer-reviewed scientific journals.  For more information about RonPub please visit this link.

RonPub always welcomes suggestions for new journals in any research area. Please send your proposals for journals along with your Curriculum Vitae to This email address is being protected from spambots. You need JavaScript enabled to view it. .

We are also open for publishing collaborations with research societies. Please send your publishing collaboration also to This email address is being protected from spambots. You need JavaScript enabled to view it. .

Be an Editor / Be a Reviewer

RonPub always welcomes qualified academicians and practitioners to join as editors and reviewers. Being an editor/a reviewer is a matter of prestige and personnel achievement. Upon the quality of reviewing work, a reviewer will have the potential to be promoted to a full editorial board member.

If you would like to participate as a scientific committee member of any of RonPub journals, please send an email to This email address is being protected from spambots. You need JavaScript enabled to view it. with your curriculum vitae. We will revert back as soon as possible. For more information about editors/reviewers, please visit this link.

Contact RonPub

Location

RonPub UG (haftungsbeschränkt)
Hiddenseering 30
23560 Lübeck
Germany

Comments and Questions

For general inquiries, please e-mail to This email address is being protected from spambots. You need JavaScript enabled to view it. .

For specific questions on a certain journal, please visit the corresponding journal page to see the email address.