• DocumentCode
    1472666
  • Title

    Maintaining Quality of Sensing with Actors in Wireless Sensor Networks

  • Author

    He, Shibo ; Chen, Jiming ; Cheng, Peng ; Gu, Yu Jason ; He, Tian ; Sun, Youxian

  • Author_Institution
    Dept. of Control, Zhejiang Univ., Hangzhou, China
  • Volume
    23
  • Issue
    9
  • fYear
    2012
  • Firstpage
    1657
  • Lastpage
    1667
  • Abstract
    In this paper, we consider using actors to maintain the quality of sensing in the wireless sensor networks. Due to factors such as battery drainage or physical malfunctions, the number of available sensors normally decreases over time after initial deployment, resulting in performance degradation. To maintain the quality of sensing in the network, actors can be used to allocate spare sensors to sensor-deficient regions (sensor allocation) or to relocate sensors from sensor-abundant regions to sensor-deficient regions (sensor relocation). We first focus on the sensor allocation problem. We introduce a baseline centralized greedy algorithm (GA) for sensor allocation, where global sensor information is communicated to obtain the optimal solution. As GA is only efficient for small networks, we proceed to design a distributed patrolling algorithm for achieving global optimization (DPAG) by using only local information. We then extend our work to the application scenario of sensor relocation by proposing a modified GA and DPAG (M-GA and M-DPAG), respectively. Extensive simulation results are provided to demonstrate the performance of the proposed algorithms.
  • Keywords
    greedy algorithms; optimisation; sensor placement; wireless sensor networks; actors; baseline centralized greedy algorithm; distributed patrolling algorithm; global optimization; global sensor information; sensing quality maintenance; sensor relocation; sensor-abundant regions; sensor-deficient regions; spare sensor allocation; wireless sensor networks; Genetic algorithms; Markov processes; Monitoring; Resource management; Sensor systems; Wireless sensor networks; Genetic algorithms; Markov processes; Monitoring; Quality of sensing; Resource management; Sensor systems; Wireless sensor networks; distributed algorithms.; sensor allocation; sensor relocation;
  • fLanguage
    English
  • Journal_Title
    Parallel and Distributed Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9219
  • Type

    jour

  • DOI
    10.1109/TPDS.2012.100
  • Filename
    6171178