• DocumentCode
    160631
  • Title

    A Power Assignment Method for Multi-sink WSN with Outage Probability Constraints

  • Author

    Pellenz, Marcelo E. ; Jamhour, Edgard ; Penna, Manoel C. ; Souza, Richard Demo ; Brante, Glauber G.

  • Author_Institution
    PPGIa, Pontifical Catholic Univ. of Parana, Curitiba, Brazil
  • fYear
    2014
  • fDate
    13-16 May 2014
  • Firstpage
    533
  • Lastpage
    540
  • Abstract
    We propose a method for planning large mesh-based WSN with multiple sinks. The relationship between the WSN capacity, sensor power transmission and the outage probability of the path between sensor nodes and sinks is very complex. In order to reduce the problem complexity, we use a multistage approach, where sensor node clustering, sink position selection, sensor node power and channel assignment are solved as independent problems. The multistage approach is used in accordance to two different strategies, named Geometry-Based Clustering (GBC) and Path-Based Clustering (PBC). In the first strategy, the clustering of sensor nodes and the sink selection is based exclusively on the sensor nodes geometric disposition. The second strategy solves the same problem by determining the sink positions by a search method that optimizes the WSN capacity under outage probability constraints.
  • Keywords
    geometry; probability; wireless sensor networks; GBC; PBC; WSN capacity; channel assignment; geometry-based clustering; large mesh-based WSN; multisink WSN; outage probability constraints; path-based clustering; power assignment method; sensor node clustering; sensor node power; sensor power transmission; sink position selection; Capacity planning; Fading; IP networks; Interference; Planning; Wireless communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications (AINA), 2014 IEEE 28th International Conference on
  • Conference_Location
    Victoria, BC
  • ISSN
    1550-445X
  • Print_ISBN
    978-1-4799-3629-8
  • Type

    conf

  • DOI
    10.1109/AINA.2014.65
  • Filename
    6838710