-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] CFP: Special Section in IEEE Access: Recent Advances in Socially-aware Mobile Networking (Submission Deadline: July 31, 2016) Datum: Thu, 31 Mar 2016 18:08:01 -0400 Von: Lei Yang lyang55@ASU.EDU Antwort an: Lei Yang lyang55@ASU.EDU An: tccc-announce@COMSOC.ORG
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======================================================= Special Section in IEEE Access
* Recent Advances in Socially-aware Mobile Networking *
http://www.ieee.org/publications_standards/publications/ieee_access/ieee_acc...
Submission Deadline: July 31, 2016 =======================================================
IEEE Access invites manuscript submissions in the area of Socially-aware Mobile Networking.
SCOPE =====
Mobile data traffic has been growing exponentially over the past few years. A report from Cisco shows that the mobile data traffic in 2014 grew 69 percent and was nearly 30 times the size of the entire global Internet in 2000. One of the primary contributors to the explosive mobile traffic growth is the rapid proliferation of mobile social applications running on multimedia mobile devices (particularly smartphones), and these sharp increases in mobile traffic (particularly from mobile social applications) are projected to continue in the foreseeable future. To meet the rapidly growing demand, regulatory agencies around the world (e.g., FCC, Ofcom and ETSI) are actively working on policies and regulations for dynamic spectrum access that are mutually beneficial to the cognitive radio devices and the licensed spectrum users of the under-utilized spectrum. As mobile networks by and large are designed and deployed to meet people’s social needs, people’s behaviors and interac! tions in the social domain will shape their ways to access mobile services. Therefore, there is an urgent need to integrate social elements into the design of mobile networks.
Socially-aware mobile networks have emerged as a promising direction for future mobile networks. Socially-aware mobile network designs can improve shared spectrum access, cooperative spectrum sensing and device-to-device (D2D) communications, and have potential to achieve substantial gains in spectral efficiency and lead to significant increases in network capacity. In spite of the potential benefits of socially-aware mobile networking, many technical challenges still have to be addressed. For example, mobile users need to trust others to carry out effective cooperation, and a natural question to ask is that “how to leverage human social trust to enhance distributed spectrum access?” Moreover, since mobile users need to communicate potentially sensitive information (such as location) to neighbors and third party (like in D2D sharing), privacy and security protection are also important components in the design of socially-aware mobile networks.
Inspired by the aforementioned attractive features and potential advantages of socially-aware mobile networks, socially-aware mobile networking has recently garnered much attention, but is still not well understood, and therefore requires more research efforts from both the academia and industry. This special issue will bring together academic and industrial researchers to identify and discuss technical challenges and recent results related to socially-aware mobile networking, so as to enrich the evolution of future mobile networks.
TOPICS ======
Topics of interest include, but are not limited to the following: - Socially-aware dynamic spectrum access - Socially-aware cooperative spectrum sensing - Socially-aware D2D communications - Socially-aware information dissemination in mobile networks - Cooperative behavioral modeling in socially-aware mobile networks - Socially-aware protocols for mobile networks - Socially-aware power and interference management - Socially-aware resource allocation and optimization for mobile networks - Crowdsourcing in mobile networks - Trust and reputations in mobile networks - Cognitive and cooperative mobile networks - Privacy and security for socially-aware mobile networks - Mobile social sensing and learning - Prediction in mobile social networks
We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.
EDITORS =======
Editor: Mugen Peng, Beijing University of Posts & Telecommunications, China (pmg@bupt.edu.cn)
Guest Editors: 1. Lei Yang, University of Nevada, Reno, USA (leiy@unr.edu) 2. Junshan Zhang, Arizona State University, USA (junshan.zhang@asu.edu) 3. Tao Chen, VTT Technical Research Centre of Finland, Finland (tao.chen@vtt.fi) 4. Ulrico Celentano, University of Oulu, Finland (ulrico.celentano@ee.oulu.fi) 5. Juha Röning, University of Oulu, Finland (juha.roning@oulu.fi) 6. Natalia Ermolova, Aalto University, Finland (natalia.ermolova@aalto.fi) 7. Olav Tirkkonen, Aalto University, Finland (olav.tirkkonen@aalto.fi)
IEEE Access Editor in Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland
SUBMISSION ==========
Paper submission: Contact Editors and submit manuscript to: http://mc.manuscriptcentral.com/ieee-access
For information regarding IEEE Access including its publication policy and fees, please visit the website http://www.ieee.org/ieee-access
For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access Phone: (732) 562-6036 ieeeaccess@ieee.org
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