Sensor Scheduling for Target Tracking in Networks of Active Sensors

نویسندگان

  • XIAO Wen-Dong WU
  • Jian-Kang XIE
  • Li-Hua DONG Liang
چکیده

Wireless sensor network (WSN) of active sensors suffers from serious inter-sensor interference (ISI) and imposes new design and implementation challenges. In this paper, based on the ultrasonic sensor network, two time-division based distributed sensor scheduling schemes are proposed to deal with ISI by scheduling sensors periodically and adaptively respectively. Extended Kalman filter (EKF) is used as the tracking algorithm in distributed manner. Simulation results show that the adaptive sensor scheduling scheme can achieve superior tracking accuracy with faster tracking convergence speed.

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تاریخ انتشار 2006