• DocumentCode
    272131
  • Title

    Energy Optimization in Redundant WSNs under Deterministic and Probabilistic Sensing Models

  • Author

    Diané, I. ; Kacimi, R. ; Mammeri, Z. ; Niang, I.

  • Author_Institution
    IRIT, Univ. of Toulouse, Toulouse, France
  • fYear
    2014
  • fDate
    14-17 Sept. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Almost all WSNs are deployed with some redundancy degree which is used only for robustness objectives. If not handled in an intelligent way, redundancy results in energy wasting because of redundant transmission and reception operations. In view of this energy wasting, a redundancy detection method under sensing models is proposed. We propose to take benefit from measurement redundancy to optimize the energy consumption and improve the end-to-end delay. We propose OER (Optimization of Energy based on Redundancy) protocol, to improve energy consumption in WSNs.
  • Keywords
    energy consumption; optimisation; probability; protocols; redundancy; synchronisation; telecommunication power management; wireless sensor networks; OER protocol; WSN; deterministic sensing models; end-to-end delay; energy consumption; energy optimization; energy wasting; measurement redundancy; optimization of energy based on redundancy; probabilistic sensing models; reception operations; redundancy degree; redundancy detection method; redundant transmission operations; wireless sensor network; Delays; Energy consumption; Probabilistic logic; Protocols; Redundancy; Sensors; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2014 IEEE 80th
  • Conference_Location
    Vancouver, BC
  • Type

    conf

  • DOI
    10.1109/VTCFall.2014.6965959
  • Filename
    6965959