Cyber-Phy 2016 - Special Issue on Cyber-Physical Systems for Mobile Opportunistic Networking

The pervasive presence of mobile personal devices with communication and computation capabilities together with the massive use of online social network systems (e.g., Facebook, Twitter, Google Plus, LinkedIn, etc.) are increasingly creating a cyber-physical space where users can interact exploiting and generating information. Enriched with several sensing capabilities and networking interfaces, today’s portable devices are enabling new ways of communication including Mobile Networking in Proximity (MNP). This network mode complements the classic scenario with Internet coverage enlarging the range of functionalities of these devices through short-range communications (e.g., Bluetooth, WiFi Direct, etc.) in situations where Internet may not be available. When two devices are in proximity, they could still share information without the need of continual Internet connectivity just exploiting the meeting opportunities and activating an opportunistic hop-by-hop forwarding towards the destination.
In this view, the social-aware or social-inspired mobile networking research is increasingly underlining the benefits and the need of having knowledge of the social behavior of users for the MNP design. On one hand, the social behavior of mobile nodes can be extracted from mobility. On the other hand, also online social network interactions may provide information about user’s social behavior. As such, the convergence between the two worlds, the physical offline one made by mobile devices and the cyber online one made by the online social networks is getting more and more important, opening a novel and interesting research field with many challenging issues. The goal of this Computer Networks Special Issue is to solicit the research closely related to the mobile and social networking reporting advances on approaches, methods, and applications envisioning and addressing the challenges in this field.
Topics of Interest
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* Social-aware modeling, design and development of routing algorithms in cyber-physical MNP
* Trust, security and privacy, incentive mechanisms, reputation systems and key management algorithms in cyber-physical MNP
* Social metrics for network operation
* Participatory mobile sensing, crowd sourcing and social media mining integration algorithms in cyber-physical MNP
* Application of mixed physical and online social network sensing
* Comparison of human social behavior in online and offline social networks over MNP and its evolution over time
* Impact of online social behavior on MNP algorithms
* Design of cyber-physical applications for MNP based on behavioral models
* Graph analysis applied to cyber-physical MNP
* Novel distributed solutions for designing, supporting and operating cyber-physical MNP
* Real experiences and experiments with cyber-physical MNP
Submission Details
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Submissions will be judged based on their originality, novelty, and quality. Submissions must not substantially overlap with papers that have been previously published or are currently submitted for publication. The submission must be clearly written and in excellent English, with a maximum page limit of 20 pages. All received submissions within the scope of the issue will be sent out for peer review by three experts in the field and will be evaluated with respect to the relevance to this special issue, level of innovation, depth of contribution, and quality of presentation. Author guidelines for preparation of manuscript can be found at http://ees.elsevier.com/comnet/
Manuscripts should be submitted on line through http://ees.elsevier.com/comnet/ with Cyber-physical MNP selected as the article type.
Important Dates
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Paper Submission Due: December 11, 2015
Acceptance Notification: March 11, 2016
Revised Papers Due: May 8, 2016
Final Author Notification: June 17, 2016
Publication Target Date: September 2016
Guest Editors
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* Floriano De Rango, University of Calabria, Italy (derango-AT-dimes.unical.it)
* Annalisa Socievole, University of Calabria, Italy (a.socievole-AT-dimes.unical.it)
* Athanasios Vasilakos, Lulea University of Technology, Sweden (athanasios.vasilakos-AT-ltu.se)
* Eiko Yoneki, University of Cambridge Computer Laboratory, United Kingdom, (eiko.yoneki-AT-cl.cam.ac.uk)
* Artur Ziviani, National Laboratory for Scientific Computing, Brazil, (ziviani-AT-lncc.br)