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Special Issue on

Green Media: Toward Bridging the Gap between Wireless and Visual networks

IEEE Wireless Communication Magazine

Data volumes in wireless multimedia data intensive applications and mobile web 
services are projected to increase by a
factor of ten every five years, associated with a 20% increase in energy 
consumption – 80% of which is multimedia traffic
related. In turn, multimedia energy consumption is rising at 16% per year, 
doubling every six years. It is estimated that
energy costs alone account for as much as half of the annual operating 
expenditure. This has prompted concerted efforts by
major operators to drastically reduce carbon emissions by up to 50% over the 
next 10 years. Clearly, there is urgency for a
new disruptive paradigm of green media to bridge the gap between wireless 
technologies and multimedia applications.
The purpose of this special issue is to solve pressing problems in relation to 
the increase in energy consumption due to
growing multimedia applications. Volume-intensive power-demanding visual 
traffic over today’s network presents new
challenges in processing, storage, extraction, delivery, and management. The 
aim is to answer fundamental and practically
relevant questions related to the design and analysis of 1) low-power 
multimedia computing including in-network processing,
compression/coding, and signal sensing, 2) low-power multimedia transmission 
including large-scale hierarchical networks,
distributed network storage, and visual sensor networks, 3) low-power 
multimedia rendering and display including content
adaptive display adaptation, environment adaptive presentation, and multimedia 
display technologies, and 4) low-power
multimedia system design including software and hardware architectures, 
scalable computations, and low-memory
implementations. We expect that through this special issue, we can foster new 
solutions to the design, evaluation, and
application of green wireless media. This special issue will bring together 
leading researchers and developers from diverse
disciplines in system, hardware, software, and application design to the 
forefront of green radio communications for future
multimedia networks, covering various topics of interest that include but not 
limited to:

 In-network and real-time semantic processing
 Content storage, preservation, and computation
 Distributed multimedia, middleware, and context-aware
 Collaborative extraction, modeling, data and decision fusion
 Scalable video coding in large-scale hierarchical networks
 Collaborative sensing and processing for smart cameras
 Large-scale image capture, acquisition and retrieval
 Smart cameras and visual sensor networks
 Computer vision and network planning
 Green data centers and cloud computing

Prospective authors must follow the guidelines of the IEEE Wireless 
Communications Magazine as described in the IEEE
Wireless Communications Magazine web page at 
http://www.comsoc.org/wirelessmag/paper-submission-guidelines. All
submissions should have no more than 4500 words, no more than 6 tables/figures, 
and the abstract should have no more than
250 words. Any submission that fails to comply with the guidelines will be 
rejected without review. All papers must be
submitted in PDF format via the magazine's manuscript central at 
http://mc.manuscriptcentral.com/ieee-wcm.

Important Dates
Manuscript Submission Due: December 1, 2013
Decision Notification: April 1, 2014
Camera Ready Manuscript Due: May 1, 2014
Publication Issue: August 2014

Guest Editors
Maged Elkashlan, Queen Mary University of London, UK
Zhan Ma, Samsung Research America, USA
Yao Wang, Polytechnic Institute of New York, USA
Mohsen Guizani, Qatar University, Qatar
Lei Shu, Guangdong University of Petrochemical Technology, China
George K. Karagiannidis, Aristotle University of Thessaloniki, Greece
Trung Q. Duong, Blekinge Institute of Technology, Sweden


Lei Shu, Ph.D, IEEE Member
====================================================================
Director, Industrial Security and Wireless Sensor Networks Lab.
Http://www.iswsnlab.cn
Vice-Director, Guangdong Provincial Key Lab. of Petrochemical Equipment Fault 
Diagnosis, China
Professor, Guangdong University of Petrochemical Technology, China
Ph.D Supervisor, Dalian Uni. of Technology and Taiyuan Uni. of Technology, China
Email: lei....@lab.gdupt.edu.cn; lei....@live.ie; lei....@live.cn
Mobilephone: +(86)15875887189
Http://sites.google.com/site/leonleishu/
=====================================================================
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