9th International Conference on Communications and Networking in China

Research Article

Object Tracking in Wireless Sensor Networks Using an Itinerary-Based Method

  • @INPROCEEDINGS{10.4108/icst.chinacom.2014.256237,
        author={Zhangbing Zhou and Jine Tang and Zhenhua Wang and Chu Du and Yunchuan Sun},
        title={Object Tracking in Wireless Sensor Networks Using an Itinerary-Based Method},
        proceedings={9th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2015},
        month={1},
        keywords={object tracking; itinerary-based method; wireless sensor networks},
        doi={10.4108/icst.chinacom.2014.256237}
    }
    
  • Zhangbing Zhou
    Jine Tang
    Zhenhua Wang
    Chu Du
    Yunchuan Sun
    Year: 2015
    Object Tracking in Wireless Sensor Networks Using an Itinerary-Based Method
    CHINACOM
    IEEE
    DOI: 10.4108/icst.chinacom.2014.256237
Zhangbing Zhou1,*, Jine Tang2, Zhenhua Wang2, Chu Du2, Yunchuan Sun3
  • 1: China University of Geosciences (Beijing), China & TELECOM SudParis, France
  • 2: China University of Geosciences (Beijing), China
  • 3: Beijing Normal University, China
*Contact email: zhangbing.zhou@gmail.com

Abstract

In the Internet of Things, smart things communicate with each other, and sensed data are aggregated and queried for satisfying certain requests of end-users. Target tracking is a typical and important application of wireless sensor networks. Considering the energy efficiency and the object tracking accuracy, we propose a novel object tracking method based on a pre-defined itinerary. Energy can be reduced due to effectively selecting collaborative node to activate. The tracking accuracy can be improved because the prediction movement range can be confined into adjacent itineraries according to the current position and direction of the tracking object. The number of activated sensors involved in tracking the target will be decreased to save energy and prolong the lifetime of network. Theoretical analysis shows that our technique is energy-efficient and accurate compared with traditional techniques.