• DocumentCode
    2567301
  • Title

    Analysis of Key Technologies for Cognitive Radio Based Wireless Sensor Networks

  • Author

    Jia, Jian-Guang ; He, Zun-Wen ; Kuang, Jing-Ming ; Wang, Hui-Fen

  • Author_Institution
    Res. Inst. of Commun. Technol., Beijing Inst. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    23-25 Sept. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Wireless sensor networks (WSNs) currently operate in the unlicensed industrial, scientific and medical (ISM) spectrum band. However, more and more wireless equipments make this band overcrowded. The tremendous growth in the applications of WSNs has posed great challenges for the precious radio electromagnetic spectrum resource. The limited wireless spectrum resource will be the bottleneck for the large-scale popularization of WSNs. By contrast, the utilization rate of licensed spectrum is very low, and some bands are actually never occupied. It is promising and also challenging for WSNs to adopt the cognitive radio (CR) technology to sense spectrum hole and utilize the vacant frequencies to improve the spectrum utilization rate and communication validity. On the basis of detailed analysis of the involved key technologies for CR-based WSNs, the related solutions are introduced. In addition, a new hardware structure of sensor node is proposed and energy-saving design strategies are discussed.
  • Keywords
    cognitive radio; radio spectrum management; wireless sensor networks; cognitive radio; radio electromagnetic spectrum resource; spectrum utilization rate; wireless sensor networks; Chromium; Cognitive radio; Energy consumption; Protocols; Sensors; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-3708-5
  • Electronic_ISBN
    978-1-4244-3709-2
  • Type

    conf

  • DOI
    10.1109/WICOM.2010.5601383
  • Filename
    5601383