• DocumentCode
    2404785
  • Title

    Optimal QoS sampling frequency assignment for real-time wireless sensor networks

  • Author

    Liu, Xue ; Wang, Qixin ; Sha, Lui ; He, Wenbo

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Illinois, Urbana-Champaign, Urbana, IL, USA
  • fYear
    2003
  • fDate
    3-5 Dec. 2003
  • Firstpage
    308
  • Lastpage
    319
  • Abstract
    How to allocate computing and communication resources in a way that maximizes the effectiveness of control and signal processing has been an important area of research. The characteristic of a multi-hop real-time wireless sensor network raises new challenges. First, the constraints are more complicated and a new solution method is needed. Second, we need a distributed solution to achieve scalability. This paper presents solutions to both of the new challenges. The first solution to the optimal frequency allocation is a centralized solution that can handle the more general form of constraints as compared with prior research. The second solution is a distributed version for large networks using a pricing scheme. It is capable of incremental adjustment when utility functions change.
  • Keywords
    frequency allocation; quality of service; real-time systems; resource allocation; sensor fusion; wireless sensor networks; incremental adjustment; multihop network; optimal QoS sampling frequency assignment; optimal frequency allocation; pricing scheme; real-time wireless sensor networks; resource allocation; scalability; utility functions; Communication system control; Frequency; Process control; Resource management; Sampling methods; Scalability; Signal processing; Signal sampling; Spread spectrum communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Real-Time Systems Symposium, 2003. RTSS 2003. 24th IEEE
  • Print_ISBN
    0-7695-2044-8
  • Type

    conf

  • DOI
    10.1109/REAL.2003.1253277
  • Filename
    1253277