• DocumentCode
    3125161
  • Title

    Opportunistic routing for body area network

  • Author

    Maskooki, Arash ; Soh, Cheong Boon ; Gunawan, Erry ; Low, Kay Soon

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2011
  • fDate
    9-12 Jan. 2011
  • Firstpage
    237
  • Lastpage
    241
  • Abstract
    Wireless body area network (WBAN) is an interesting application of sensor networks which can revolutionize our interaction with the outside world. WBAN like any other sensor network suffers limited energy resources and hence preserving the energy of the nodes is of great importance. Unlike typical sensor networks WBANs have few and dissimilar sensors. In addition, the body medium has its own propagation characteristic which means that the existing solution for preserving energy in wireless sensor networks might not be efficient in WBANs. The quality of the links between the nodes in WBAN is changing frequently due to the moving nature of the body. This can pose a major problem especially in the energy efficiency merit. In this work we have proposed an opportunistic scheme to exploit the body movements during the walking to increase the life time of the network. The results show that comparing to the existing methods this work can increase the life time of the network.
  • Keywords
    Internet; body area networks; energy resources; gait analysis; medical computing; wireless sensor networks; body movements; energy efficiency; energy resources; opportunistic routing; sensor networks; walking; wireless body area network; wireless sensor networks; Body area networks; Energy consumption; Receivers; Relays; Wireless communication; Wireless sensor networks; Wrist;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2011 IEEE
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-8789-9
  • Type

    conf

  • DOI
    10.1109/CCNC.2011.5766463
  • Filename
    5766463