• DocumentCode
    1940487
  • Title

    Minimizing service delay in directional sensor networks

  • Author

    Wang, Yi ; Cao, Guohong

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA
  • fYear
    2011
  • fDate
    10-15 April 2011
  • Firstpage
    1790
  • Lastpage
    1798
  • Abstract
    In directional sensor networks, sensors can steer around to serve multiple target points. Most previous works assume there are always enough deployed sensors so that all target points can be served simultaneously. However, this assumption may not hold when the mission requirement changes or when more target points need to be served. Since it is not always practical to deploy new sensors, we propose to reconfigure the network by letting existing sensors steer and serve the targets periodically. As a result, targets may not be served continuously, and the service delay affects the quality of service. One important problem is how to choose the optimal set of targets to serve by each sensor such that the maximum service delay is minimized. We first show that this problem is NP-complete, and then we propose a centralized protocol whose performance is bounded by a logarithm factor of the optimal solution. We also propose a distributed protocol which achieves the same performance as the centralized protocol. Finally, we extend the optimization model and the protocols by considering the rotation delay, which is critical for some applications but ignored by previous work.
  • Keywords
    computational complexity; delays; protocols; quality of service; sensor placement; wireless sensor networks; NP-complete problem; centralized protocol; directional sensor networks; distributed protocol; logarithm factor; optimization model; quality of service; rotation delay; sensor deployment; service delay; Delay; Minimization; Monitoring; Protocols; Schedules; Sensors; Silicon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2011 Proceedings IEEE
  • Conference_Location
    Shanghai
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4244-9919-9
  • Type

    conf

  • DOI
    10.1109/INFCOM.2011.5934978
  • Filename
    5934978