MSCC 2014: The First International Workshop on Mobile Sensing, Computing and Communication

Philadelphia, Pennsylvania, August 11th, 2014


Best paper award:

On Optimal Scheduling of Multiple Mobile Chargers in Wireless Sensor Networks 
Richard Beigel (Temple University, USA); Jie Wu (Temple University, USA); Huanyang Zheng (Temple University, USA)


Nowadays’ smart phone is the main tool for us to access any kind of information from fixed or mobile ad hoc terminals. When mobile services are provided to the mass, the self-organized computing, communication, and storage services are main concerns for most of the mobile users. Specifically, organizing distributed participants’ sensing data as well as services in ad hoc way will need distributed coordination in sensing and computing, together with relatively low communication overhead. Because centralized information fetching and storage are vulnerable to mobile scenarios. Mobile sensing, computing and communication (MSCC) are to extend conventional functions, providing services and results to the world of future mobile applications. MSCC is fundamentally different from previous cloud based study, because it brings a pure distributed and dynamic environment for sensing, data, computing task sharing and service providing. There is little or no infrastructure can be leveraged to improve the network performance. We believe that, this topic can be sustainable, and perennial for mobile ad hoc research, because it brings many brand new challenges and even some of open problems for researchers to investigate.

The MSCC workshop is intended to bring together researchers, developers, and practitioners in current participatory sensing, computing and communication from academia, industry, and service providers, to share ideas, experiences, and practical implementations related to new MSCC technologies and applications. Both position and working-in-progress papers are encouraged. To that end, papers are solicited from all MSCC related areas involving the interactions or integrations of massive sensing data with advanced computing and communication solutions. All submissions will be judged by their technical merit and relevance to the workshop, based on a thorough review process by the Technical Program Committee.