• DocumentCode
    1639946
  • Title

    Power control and localization of wireless body area networks using semidefinite programming

  • Author

    Zhaoyang Zhang ; Jingfang Huang ; Honggang Wang ; Hua Fang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Massachusetts, Dartmouth, MA, USA
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Wireless Body Area Network (WBAN) is a promising solution for Healthcare applications. However, how to mitigate the interference between WBANs is still challenging. In this paper, we propose a new method to mitigate the interference between WBANs using geometric programming (GP), which is a special optimization that can be transformed to convex optimization. To make sure that all receivers in WBANs can receive the signals sent from their pairwise transmitters, we require that the signal to interference and noise ratio (SINR) for each WBAN must be more than a given threshold. Then we can optimize the overall transmission power to save energy. We also propose to use convex optimization to solve location problem of WBANs based on their received signal strength indicators (RSSI). We set three WBANs to be anchor nodes with known locations, calculate the approximate distance between the transmitters, and then solve the convex problem to get the location for all other WBANs. The effectiveness of the proposed methods has been demonstrated through numerical simulations.
  • Keywords
    biomedical communication; body area networks; convex programming; geometric programming; health care; wireless sensor networks; WBAN localization; convex optimization; geometric programming; healthcare applications; numerical simulations; power control; received signal strength indicators; semidefinite programming; signal to interference noise ratio; wireless body area networks; Body area networks; Estimation; Interference; Noise; Receivers; Transmitters; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Information and Communication Technologies for Ubiquitous HealthCare (Ubi-HealthTech), 2015 2nd International Symposium on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6167-2
  • Type

    conf

  • DOI
    10.1109/Ubi-HealthTech.2015.7203357
  • Filename
    7203357