• DocumentCode
    159607
  • Title

    Short-term link quality estimation for Opportunistic and Mobility Aware Routing in wearable body sensors networks

  • Author

    Ben Hamida, Elyes ; Alam, Md Moktadir ; Maman, Mickael ; Denis, Benoit

  • Author_Institution
    Qatar Mobility Innovations Center, Doha, Qatar
  • fYear
    2014
  • fDate
    8-10 Oct. 2014
  • Firstpage
    519
  • Lastpage
    526
  • Abstract
    This paper investigates the issues related to the link quality estimation and routing performance in highly dynamic WBSNs, where the inherent body mobility introduces frequent time and space variations in the observed link reliability and network connectivity. A new Opportunistic and Mobility Aware Routing (OMAR) protocol is proposed, which optimizes the routing process by taking benefit from captured long-term and short-term link behavior. Extensive simulations are performed using realistic WBSNs mobility and channel modeling, and representative MAC constraints. The obtained results show that the proposed OMAR approach outperforms conventional routing protocols in terms of energy consumption and routing path length, while ensuring a stable packet delivery ratio.
  • Keywords
    body sensor networks; energy consumption; routing protocols; telecommunication network reliability; wearable computers; MAC; WBSN; energy consumption; link quality estimation; link reliability; mobility aware routing; opportunistic routing; routing protocol; wearable body sensors networks; Biological system modeling; Estimation; Protocols; Radio link; Reliability; Routing; Wireless sensor networks; Body Area Networks; Opportunistic Routing; Radio Link Quality Estimation; Space-Time Varying Radio Channel Model; Wearable Wireless Sensors Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless and Mobile Computing, Networking and Communications (WiMob), 2014 IEEE 10th International Conference on
  • Conference_Location
    Larnaca
  • Type

    conf

  • DOI
    10.1109/WiMOB.2014.6962220
  • Filename
    6962220