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Elsevier - Computer Networks Journal
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
* 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
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
Manuscripts should be submitted on line through with Cyber-physical MNP selected as the
article type.

Important Dates
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
* Floriano De Rango, University of Calabria, Italy ([log in to unmask])
* Annalisa Socievole, University of Calabria, Italy (
[log in to unmask])
* Athanasios Vasilakos, Lulea University of Technology, Sweden (
[log in to unmask])
* Eiko Yoneki, University of Cambridge Computer Laboratory, United Kingdom,
([log in to unmask])
* Artur Ziviani, National Laboratory for Scientific Computing, Brazil, (
[log in to unmask])

Ing. Annalisa Socievole, Ph.D.
DIMES - Department of Informatics, Modeling, Electronics and System
University of Calabria
via P. Bucci c/o Cubo 41C
87036 Rende (CS) Italy
phone: +39 0984 494802

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