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IEEE Communications Magazine

Special Issue on Mobile Crowd Sensing (MCS)

NEW DEADLINE: DECEMBER 15, 2013


http://www.comsoc.org/files/Publications/Magazines/ci/cfp/cfpcommag0814.html


Introduction
Successful city management relies on urban dynamics and social event monitoring to provide essential information for decision making. In traditional sensing techniques such as wireless sensor networks (WSNs), distributed sensors are leveraged to acquire real world conditions. However, static sensing is affected by several conditions, such as insufficient node coverage, high installation/maintenance cost, and lack of scalability. Mobile Crowd Sensing (MCS) presents a new sensing paradigm based on the power of various mobile devices/objects (e.g., smartphones, wearable
devices, sensor-equipped vehicles, etc.). The sheer number of mobile device users and their inherent mobility enables a new and fast-growing sensing paradigm: the ability to acquire local knowledge through sensor-enhanced mobile devices ®C e.g., location, personal and surrounding context, noise level, traffic conditions, and in the future more specialized information such as pollution ®C and the possibility to share this knowledge within the social sphere, practitioners, health care providers, and utility providers such as municipalities for example. The information collected by the mobile devices on the ground combined with the support of the cloud where data fusion takes place, make mobile sensing a versatile platform that can often replace static sensing infrastructures, and enabling a broad range of applications from urban dynamic mining, public safety, environment monitoring, just to name a few. Numerous and unique research challenges arise from the mobile crowd sensing
paradigm ranging from participatory and opportunistic data collection, proper incentive mechanisms, transient network communication, and big data processing. By having human participation in the loop, several other issues regarding to the privacy and security of data (e.g., sensitive information such as human voice, location may be revealed), quality/trust of the data contributed (e.g., there might be fake or malicious nodes involved) should also be addressed.

This feature topic issue provides the opportunity for researchers, practitioners, and application developers to review and discuss the state-of-the-art and trends of MCS techniques and applications or propose new solutions. 

In the light of the above, the main purpose of this feature topic on Mobile Crowd Sensing is threefold:

-to promote unprecedented approaches and techniques in participatory and opportunistic data collection, communication, analysis, and visualization;
-to identify open
issues which remain a challenge towards the convergence of information and communication technologies, privacy protection methods, social and psychological theories in MCS;
-to exploit novel application areas and demonstrate the benefits of MCS in contrast with more traditional static sensing approaches.


Topics may include (but are not limited to):
- Architecture/Framework Design
- Participatory Data Collection (node selection, data sampling, scheduling sensing)
- Opportunistic Sensing and Communication
- Sensor Performance and Types for MCS
- Incentive Mechanisms for MCS
- Communication in Weak/Transient Networking Environments
- Big Data Processing and Urban/Social Mining
- Privacy, Security, and Trust Issues in MCS
- Social and Psychological Issues in MCS
- Energy Efficiency in MCS
- Emerging/Novel Application Areas of MCS
- Performance Evaluation of MCS


Submissions 
Papers
must be tailored to the problems of mobile crowd sensing and explicitly consider above issues. The editors maintain the right to reject papers they deem to be out of scope of this special issue. Only originally unpublished contributions and invited articles will be considered for the issue. The papers should be formatted according to the IEEE Communications Magazine guidelines (http://www.comsoc.org/commag/paper-submission-guidelines). Authors should submit a PDF version of their complete manuscript via Manuscript center (http://mc.manuscriptcentral.com/commag-ieee ) according to the timetable below.  Select the category °∞August 2014/Mobile Crowd Sensing°± when submitting your manuscript.

Guest Editors
Bin Guo (Corresponding Guest Editor)                  
Northwestern Polytechnical University, China                  
guobin.keio@gmail.com                             

Francesco Calabrese
IBM Research Ireland, Ireland
fcalabre@ie.ibm.com

Emiliano Miluzzo
AT&T Labs - Research
miluzzo@research.att.com

Mirco Musolesi
University of Birmingham, UK
m.musolesi@cs.bham.ac.uk

Important Dates
NEW Deadline for manuscript submission: Dec. 15, 2013. 
Author notification: Mar. 1, 2014
Final manuscript due: June 1, 2014
Publication date: August, 2014

Contact Information 
Corresponding Guest Editor, Dr. Guo (guobin.keio@gmail.com) 

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- Emiliano
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AT&T Labs - Research
www.research.att.com/~miluzzo






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