• DocumentCode
    2976879
  • Title

    Control and data channels allocation for Large-Scale UWB-based WSNs

  • Author

    Ben Slimane, Jamila ; Song, Ye-Qiong ; Koubaa, Anis

  • Author_Institution
    Sup´´Com-MEDIATRON, Ariana, Tunisia
  • fYear
    2009
  • fDate
    3-6 Nov. 2009
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Resource allocation is a critical issue for Wireless Sensor Networks (WSNs) especially for Ultra-Wide Band (UWB) based networks. In this paper, we present frequency allocation scheme for an efficient spectrum management that is able to statically assign control channels and dynamically reuse data channels for Personal Area Networks (PANs) inside a Large-Scale WSN based on UWB technology. The frequency allocation problem is decomposed into two sub-problems: static control channel assignment and dynamic data channel allocation. The goal is two-folded: first, we aim to avoid congestion of control channel, second, to maximize simultaneous communications without suffering from interference in order to enhance throughput, decrease delay and minimize energy consumption.
  • Keywords
    personal area networks; radio spectrum management; resource allocation; telecommunication congestion control; ultra wideband technology; wireless sensor networks; UWB technology; control channel congestion; control channels; data channels allocation; dynamic data channel allocation; energy consumption; frequency allocation scheme; personal area networks; resource allocation; spectrum management; static control channel assignment; ultra-wide band based networks; wireless sensor networks; Channel allocation; Communication system control; Interference; Large-scale systems; Personal area networks; Radio spectrum management; Resource management; Throughput; Ultra wideband technology; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Networking, 2009. ComNet 2009. First International Conference on
  • Conference_Location
    Hammamet
  • Print_ISBN
    978-1-4244-5134-0
  • Electronic_ISBN
    978-1-4244-5135-7
  • Type

    conf

  • DOI
    10.1109/COMNET.2009.5373572
  • Filename
    5373572