The prevalence and proliferation of mobile devices coupled with the popularity of Peer-to-Peer (P2P) computing and social media have fuelled the growth of mobile crowdsourcing and participatory sensing. In particular, participatory sensing can occur in various ways by means of devices (e.g., mobile phones, PDAs, laptops and various types of sensors) or by including humans in the loop or both. Notably, participatory sensing can also potentially act as a key enabling technology for various applications involving smarter cities initiatives. In this environment, research issues include large scale data management, resource discovery, replica allocation and consistency, mobile cloud, incentives & economic models for participation, analytics on the collected data, data authentication, authorization, resource access, indexing & query processing, mobile computing, data security and trust. These issues have generated a significant amount of interest in academia as well as in industry.
The aim of this workshop is to invite researchers from academia/industry working in the area of databases, distributed computing, cloud computing, mobile computing, sensing, security and mobile agent systems to discuss the new significant potential research problems, which arise in data management in participatory sensing, and are different from the similar concepts studied earlier in different domains. This workshop intends to foster discussions on the key research challenges as well as the design issues of key enabling technologies that need to be addressed to make scalable next-generation participatory sensing effective in the real-world.
The workshop will focus on high quality contributions on the general theme of mobile collaborative sensing and crowdsourcing. Topics of the workshop include (but are not limited to):
- Scalable architectures for sensing
- Indexing, Searching and Querying over sensed data
- Replication, Caching and Consistency Management for sensed data
- Data management in Mobile cloud
- Semantics of sensor data
- Economic models and Incentive mechanisms for collecting data
- Mobile P2P and Ad-hoc Wireless Computing
- Analytics on Sensed Data
- Visualization of sensor data
- Applications of participatory sensing and crowdsourcing
- Data Streaming, compression and Aggregation in sensing
- Privacy, Security and Trust associated with sensing
- Data authentication and authorization
- Trusted Resource Discovery from the collected data
- Multi-modal sensing
- Sustainability and energy-efficiency of data sensing
- Event Processing and Management
Submission deadline: April 10, 2014
Notification of acceptance: April 25,2014
Camera-ready copies: April 30,2014
Co-Chairs:
Sanjay Kumar Madria (Missouri University of Science and Technology, USA)
Anirban Mondal (Xerox Research Center India)
Program Committee:
Bharat Bhargava (Purdue University, USA)
Stephane Bressane (National University of Singapore, Singapore)
Seng Loke (La Trobe University, Australia)
Takahiro Hara (Osaka University, Japan)
Cui Bin (Peking University, China)
P. Krishna Reddy (International Institute of Information Technology Hyderabad, India)
Atul Singh (Xerox Research Center India)
Tridib Mukherjee (Xerox Research Center India)
Abhishek Tripathi (Xerox Research Center India)
Junjie Yao (UC Santa Barbara, USA)
Arto Klami (University of Helsinki, Finland)
Santi Phithakkitnukoon (The Open University, UK)
Pelin Angin (Purdue University, USA)
Matteo Vasirani (EPFL, switzerland)
The M-CROS workshop invites authors to submit original and unpublished work. Publication of accepted workshop papers will be through IEEE Computer Society. The page limits for accepted regular workshop papers are 6 pages, including all figures, tables, and references.
For any queries concerning the workshop, please do not hesitate to contact the organizers:
Sanjay Kumar Madria (Email: madrias@mst.edu)
Anirban Mondal (Email: anirban.mondal@xerox.com)
The format of the workshop includes paper presentations, invited talks,and a panel discussion session. One of the authors of each accepted paper must have a valid registration at MDM 2014, and present the paper in the workshop. The accepted paper will be included in the workshop proceedings by IEEE. Details about the MDM 2014 conference can be found at: http://mdmconferences.org/mdm2014/.
Session 1: Crowdsourcing/sensing in Mobile and Wireless Sensor Networks
Session 2: Crowdsensing for Transportation and Smarter Cities Initiatives