• DocumentCode
    1626265
  • Title

    DISG: Decentralized Inter-user Interference Suppression in Body Sensor Networks with Non-cooperative Game

  • Author

    Wu, Guowei ; Ren, Jiankang ; Xia, Feng ; Yao, Lin ; Xu, Zichuan

  • Author_Institution
    Sch. of Software, Dalian Univ. of Technol., Dalian, China
  • fYear
    2010
  • Firstpage
    256
  • Lastpage
    261
  • Abstract
    Body Sensor Networks (BSNs) provide continuous health monitoring and analysis of physiological parameters. A high degree of Quality-of-Service (QoS) for BSN is extremely required. Inter-user interference is introduced by the simultaneous communication of BSNs congregating in the same area. In this paper, a decentralized inter-user interference suppression algorithm for BSN, namely DISG, is proposed. Each BSN measures the interference from other BSNs and then adaptively selects the suitable channel and transmission power. By utilizing non-cooperative game theory and no regret learning algorithm, DISG provides an adaptive inter-user interference suppression strategy. The correctness and effectiveness of DISG is theoretically proved, and the experimental results show that DISG can reduce the effect of inter-user interference effectively.
  • Keywords
    body sensor networks; game theory; health care; interference suppression; patient monitoring; physiology; quality of service; BSN; body sensor networks; health monitoring; inter-user interference suppression; non cooperative game; physiological parameter analysis; quality of service; Equations; Games; Interference suppression; Quality of service; Signal to noise ratio; Wireless sensor networks; BSN; QoS; game theory; inter-user interference; no regret learning algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2010 7th International Conference on
  • Conference_Location
    Xian, Shaanxi
  • Print_ISBN
    978-1-4244-9043-1
  • Electronic_ISBN
    978-0-7695-4272-0
  • Type

    conf

  • DOI
    10.1109/UIC-ATC.2010.6
  • Filename
    5667191