• DocumentCode
    3344771
  • Title

    Probabilistic Approach to Provisioning Guaranteed QoS for Distributed Event Detection

  • Author

    Yanmin Zhu ; Ni, Lionel M.

  • Author_Institution
    Hong Kong Univ. of Sci. & Technol., Hong Kong
  • fYear
    2008
  • fDate
    13-18 April 2008
  • Abstract
    It has been of significant importance to provision network-wide guaranteed QoS for a wide range of event detection applications in wireless sensor networks (WSNs). This paper investigates solutions to this QoS provision problem. For event detection applications, there are two key performance metrics, i.e., detection probability and detection latency. This paper focuses on dual-objective QoS provision, taking both metrics into account. This is very challenging due to the stringent resource constraint of sensor nodes and unpredictable randomness of physical events. We propose a novel probabilistic approach to provisioning due-objective QoS. Following a unified framework, we design a distributed algorithm that determines the active probability of every sensor node. The probability is minimized while being sufficient for QoS provision. Our approach is flexible and supports different requirements that may be posed by different applications. Theoretical analysis and comprehensive simulation experiments have been conducted, which jointly demonstrate that our approach is able to deliver guaranteed QoS for distributed event detection while prolonging the system lifetime significantly compared with other alternative schemes.
  • Keywords
    distributed algorithms; probability; quality of service; wireless sensor networks; distributed algorithm; distributed event detection; dual-objective QoS provision; probability; wireless sensor network; Algorithm design and analysis; Delay; Distributed algorithms; Energy conservation; Energy consumption; Event detection; Peer to peer computing; Quality of service; Sensor systems; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM 2008. The 27th Conference on Computer Communications. IEEE
  • Conference_Location
    Phoenix, AZ
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4244-2025-4
  • Type

    conf

  • DOI
    10.1109/INFOCOM.2008.108
  • Filename
    4509703