• DocumentCode
    3728127
  • Title

    Interference Mitigation through Adaptive Power Control in Wireless Sensor Networks

  • Author

    Michele Chincoli;Claudio Bacchiani;Aly Aamer Syed;Georgios Exarchakos;Antonio Liotta

  • Author_Institution
    Electr. Eng. Dept., Eindhoven Univ. of Technol., Eindhoven, Netherlands
  • fYear
    2015
  • Firstpage
    1303
  • Lastpage
    1308
  • Abstract
    Adaptive transmission power control schemes have been introduced in wireless sensor networks to adjust energy consumption under different network conditions. This is a crucial goal, given the constraints under which sensor communications operate. Power reduction may however have counter-productive effects to network performance. Yet, indiscriminate power boosting may detrimentally affect interference. We are interested in understanding the conditions under which coordinated power reduction may lead to better spectrum efficiency, interference mitigation and, thus, have beneficial effects on network performance. Through a combination of measurements and simulations, we study the relation between transmission power and communication efficiency with the technique of Adaptive and Robust Topology control (ART), showing how power reduction can benefit energy and spectrum efficiency. We identify critical limitations in ART (in terms of stability and adaptivity), discussing the potential of more cooperative power-control approaches.
  • Keywords
    "Wireless sensor networks","Energy consumption","Power control","Subspace constraints","Interference","Monitoring","Wireless communication"
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/SMC.2015.232
  • Filename
    7379364