• DocumentCode
    2461510
  • Title

    Supporting Random Real-Time Traffic in a Cognitive Radio Sensor Network

  • Author

    Liang, Zhongliang ; Feng, Shan ; Zhao, Dongmei

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
  • fYear
    2010
  • fDate
    6-9 Sept. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Traditional wireless sensor networks (WSNs) working in the license-free spectrum suffer from uncontrolled interference as the license-free spectrum becomes increasingly crowded. A WSN based on cognitive radios can potentially provide data transmissions with quality of service, while avoiding the high cost for accessing the licensed spectrum and uncontrolled interference in the license-free spectrum. Our previous works have studied delay performance of constant bit rate traffic in a cognitive radio sensor network (CRSN). In this paper we study the delay performance of random traffic with burst arrivals in the network. We derive the average delay for transmitting the random traffic using different channel sensing mechanisms, and verify the results using computer simulation. Our results show that satisfactory latency performance can be provided in the CRSN.
  • Keywords
    cognitive radio; data communication; quality of service; telecommunication traffic; wireless sensor networks; channel sensing mechanisms; cognitive radio sensor network; computer simulation; data transmissions; license-free spectrum; quality of service; random real-time traffic; wireless sensor networks; Analytical models; Cognitive radio; Delay; Quality of service; Real time systems; Sensors; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference Fall (VTC 2010-Fall), 2010 IEEE 72nd
  • Conference_Location
    Ottawa, ON
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4244-3573-9
  • Electronic_ISBN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VETECF.2010.5594327
  • Filename
    5594327