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《Chinese Journal of Engineering》 2017-12
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MCS data collection mechanism for participants' reputation awareness

YANG Jing;LI Peng-cheng;YAN Jun-jie;School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications;Key Laboratory of Optical Communication and Networks,Chongqing University of Posts and Telecommunications;  
Task participants' malicious behavior can significantly reduce the credibility of mobile crowd sensing(MCS). To solve this problem,this paper proposed a data collection mechanism that analyzed and quantified participants' historical reputation according to their willingness and the quality of data they had shared,and then updated their current reputation through the logistic regression model. Simultaneously,to measure the authenticity of the collected data,the participants were divided into two types: those who were related to direct transmission of sensing data and second,those who were involved in indirect forwarding of these,which was based on the remaining transmission time of sensing data and residual energy of mobile equipment. Then the server analyzed the accuracy of data collected by participants according to the multitasking scenario. Simulation results show that the proposed mechanism can significantly improve the perceived tasks performed in real time,greatly upgrade the quality of sensing data,and effectively reduce the reward expenses.
【Fund】: 国家自然科学基金资助项目(61371097 61271261);; 重庆市青年科技人才培养计划资助项目(CSTC2014KJRC-QNRC40001);; 重庆高校创新团队建设计划资助项目(CXTDX201601020)
【CateGory Index】: TP274.2
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