Research on Opportunistic Data
Collection Scheme based on Social Behavior Analysis in Crowd Sensing,
2015.1-2018.12, NSFC.
With the development of society,
the desire for thorough sensing is more and more strong. As a new
sensing mode, crowd intelligence sensing has been a hot research area
because of prominent advantages, such as wide coverage, low cost and
strong scalability. As so far, the study of crowd intelligence sensing
is still in the initial stage, and the theory and method of closely
related research area are inefficient in such scenario. Focusing on
three key problems in crowd intelligence sensing: social behavior
abstract, participant recruitment and opportunistic data collection,
this project research the abstract model and method for user behavior
based on mobility profile, maps the actual behavior to calculable and
verifiable virtual behavior space; We explore the mechanism of
participant recruitment, design the recruitment framework based on
social behavior analysis, and propose coverage and reputation based
recruitment respectively; Based on the data collection mode which
guided by the user behavior characteristics, low load distributed
routing protocols and algorithms are proposed. Besides the theoretical
proof and simulation, we also develop a social behavior analysis based
haze monitoring crowd intelligence sensing system in order to test the
efficiency of our study. The project concentrates on reducing data
sensing cost, expanding the sensing coverage, increasing the user
engagement and improving data quality and data collection performance
in crowd intelligence sensing. The results of project will provide
theoretical basis and technical support for development and
popularization of crowd intelligence sensing applications.
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Other
Projects
- Research on Dynamic Distributed
Deployment and Cooperation of Mobile infrastructure in WSN,
2012.1-2014.12, NSFC
- Reseach on Key Technologies and
Platform of Emergency Rescue based on Crowd Sensing, 2013.6-2016.6,
Scientific and Technological Support Project (Society) of Jiangsu
Province
- Research on Key Technologies of
Crowd Sensing based on Social Behavior Analysis, 2014.7-2017.6, Natural
Science Foundation of Jiangsu Province
- Research on Models and Algorithms of
Data Dissemination in Delay tolerant Mobile Sensor networks,
2013.8-2015.8, Postdoctoral Special Support of China
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