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[CfP] Sensors journal Special Issue "Collaborative Sensing"

From: Floriano Scioscia <floriano.scioscia@poliba.it>
Date: Wed, 18 Sep 2019 07:49:31 +0000
To: "semantic-web@w3.org" <semantic-web@w3.org>
Message-ID: <13ab9dbb-2b3c-a290-0854-b7c7a69a7b90@poliba.it>
Dear Colleagues,

we are happy to announce the Special Issue "Collaborative Sensing"<https://www.mdpi.com/journal/sensors/special_issues/CollaborativeS> for the Sensors<https://www.mdpi.com/journal/sensors> journal (ISSN 1424-8220; IF 3.031). We hope the topics may meet your research interests.

The paper submission deadline is March 2nd, 2020, but the review process of each article will start immediately upon submission. Sensors has fast mean response times (17.2 days between submission and first decision, 3.6 days between acceptance and publication).

Sensors is an Open Access journal, which may be of interest particularly for research funded by public sector organizations.

In-depth information on the Special Issue can be found below. We are available to provide any clarifications.

Thanks for your attention.

Best regards,

Floriano Scioscia, Michele Ruta, Eugenio Di Sciascio

Polytechnic University of Bari


Special Issue Information

Increasingly relevant and diversified applications of Wireless Sensor Network (WSN) and Internet of Things (IoT) technologies require large-scale data acquisition and mining, such as environmental monitoring, ambient intelligence, disaster recovery, smart grid, supply chain management and smart manufacturing to name a few. They must cope with several hard issues, including: large-scale sensor network management; Big Data management and exploitation; volatility of resources, users and devices; heterogeneity of hardware/software platforms; dependence on context and personalization; strict computational resource constraints.

The above issues are exacerbated in ubiquitous and pervasive contexts, with mobile ad-hoc networks (MANETs) of resource-constrained things. In such scenarios, centralized approaches and infrastructures become unmanageable, while distributed collaborative paradigms can be more effective.

Recent trends propose sensing as a service models, where mobile agents offer, request, discover and exploit data sensing and analysis services, enabled by on-board sensors or devices in their immediate proximity, connected through low-power wireless links. These models are typically:

  *   peer-to-peer: any node can request data or search for specific kinds of sensors;
  *   opportunistic: designed to exploit dynamically all the available resources in a given area in a certain time frame;
  *   participatory: users are invited to contribute their data, sensing and computing resources to the network.

Collaborative sensing approaches should be general enough to support various types of applications, platforms and devices. Furthermore, effective incentive mechanisms ought to be devised to promote sustained collaboration. Finally, interoperability must involve both application-layer protocols and data exchange formats. For these reasons, integrating World Wide Web – and particularly Semantic Web – technologies is a relevant research trend for promoting interoperable collaboration in large-scale data sensing and processing scenarios, such as multi-party WSN and IoT deployments and federations.

This Special Issue of Sensors will be dedicated to frameworks, architectures, technologies and systems for collaborative sensing, with particular emphasis on ubiquitous and pervasive computing contexts. Full papers, communications and reviews are welcome. Topics include, but are not limited to:

  *   collaborative and participatory sensing in WSN and IoT scenarios;
  *   collaborative, decentralized and peer-to-peer protocols for device and sensor discovery;
  *   collaborative, decentralized and peer-to-peer protocols and frameworks for data discovery, data mining and machine learning;
  *   sensing-as-a-service frameworks, architectures and protocols;
  *   opportunistic sensing and computing in ubiquitous contexts;
  *   design and evaluation of incentive mechanisms for participatory sensing;
  *   energy-conscious and resource-conscious collaborative sensing;
  *   user-centered personalized participatory sensing tools, interfaces and applications;
  *   World Wide Web and Semantic Web technologies for collaborative sensing and ubiquitous sensor networks;
  *   distributed ledger and blockchain technologies for collaborative sensing.

The purpose of the Special Issue is to collect original research papers or review articles. Although the emphasis is on practical solutions, we also welcome theoretical frameworks and studies.

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com<https://www.mdpi.com/> by registering<https://www.mdpi.com/user/register/> and logging in to this website<https://www.mdpi.com/user/login/>. Once you are registered, click here to go to the submission form<https://susy.mdpi.com/user/manuscripts/upload/?journal=sensors>. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors<https://www.mdpi.com/journal/sensors/instructions> page. Sensors<https://www.mdpi.com/journal/sensors/> is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors<https://www.mdpi.com/journal/sensors/instructions> page before submitting a manuscript. The Article Processing Charge (APC)<https://www.mdpi.com/about/apc/> for publication in this open access<https://www.mdpi.com/about/openaccess/> journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service<https://www.mdpi.com/authors/english> prior to publication or during author revisions.

Floriano Scioscia, Ph.D.
Assistant Professor
Information Systems<http://sisinflab.poliba.it/> Research Group
Department of Electrical and Information Engineering<http://dei.poliba.it/>
Polytechnic University of Bari<http://www.poliba.it/>
Home page: http://sisinflab.poliba.it/scioscia/
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Received on Wednesday, 18 September 2019 07:49:58 UTC

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