5th International ICST Conference on Communications and Networking in China

Research Article

Distributed interfering sensor scheduling scheme for target tracking

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  • @INPROCEEDINGS{10.4108/chinacom.2010.49,
        author={Fan Zhang and Jiming Chen and Hongbin Li and Youxian Sun and Xuemin (Sherman) Shen},
        title={Distributed interfering sensor scheduling scheme for target tracking},
        proceedings={5th International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2011},
        month={1},
        keywords={Acoustics Decision support systems Delay Distance measurement Sensors Target tracking Wireless sensor networks},
        doi={10.4108/chinacom.2010.49}
    }
    
  • Fan Zhang
    Jiming Chen
    Hongbin Li
    Youxian Sun
    Xuemin (Sherman) Shen
    Year: 2011
    Distributed interfering sensor scheduling scheme for target tracking
    CHINACOM
    ICST
    DOI: 10.4108/chinacom.2010.49
Fan Zhang1,*, Jiming Chen1,2,*, Hongbin Li1,*, Youxian Sun1,*, Xuemin (Sherman) Shen2,*
  • 1: State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027 China
  • 2: Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
*Contact email: zhangfan@iipc.zju.edu.cn, jmchen@bbcr.uwaterloo.ca, hbli@iipc.zju.edu.cn, yxsun@iipc.zju.edu.cn, xshen@bbcr.uwaterloo.ca

Abstract

For target tracking applications, active ultrasonic sensors may suffer from inter-sensor-interference when these highly dense deployed sensors are not scheduled. In this paper, we propose a dynamic distributed sensor scheduling (DSS) scheme, where the tasking sensor is elected spontaneously from the sensors with pending sensing tasks in a distributed way via random competition by using Carrier Sense Multiple Access (CSMA)-like fashion, and releases the channel immediately when ranging task is done. Both simulation results and testbed experiment demonstrate the efficiency of DSS scheme in terms of system scalability and tracking performance.