• DocumentCode
    2179975
  • Title

    Traffic load distribution in large-scale and dense wireless sensor networks

  • Author

    Wang, Qinghua ; Zhang, Tingting

  • Author_Institution
    Dept. of Inf. Technol. & Media, Mid Sweden Univ., Sundsvall, Sweden
  • fYear
    2010
  • fDate
    1-3 March 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Because of the dominating many-to-one communication pattern, traffic load is not evenly distributed over the nodes in a wireless sensor network (WSN). In a large-scale WSN, the multi-hop routing even deteriorates this traffic load imbalance by accumulating traffic flows along their paths to the sink. Understanding the traffic load distribution can guide the network-wide energy allocation, direct the design of routing algorithms, and optimize the node deployment in WSNs. In this paper, we consider a large-scale and dense WSN with nodes evenly deployed in a disk area, and find the traffic load distribution over the nodes as a function of their distances from the sink. Further, the effects of network scale and routing hop length on traffic load distribution are also investigated. The traffic loads of individual nodes are found to be in direct proportion to the radius of the network and in inverse proportion to the mean routing hop length, while independent of network density. The results presented in this paper are verified through extensive simulation experiments.
  • Keywords
    telecommunication network routing; telecommunication traffic; wireless sensor networks; WSN; multihop routing; network-wide energy allocation; traffic load distribution; wireless sensor networks; Analytical models; Counting circuits; Degradation; Information technology; Large-scale systems; Routing; Sensor phenomena and characterization; Spread spectrum communication; Telecommunication traffic; Wireless sensor networks; Traffic load distribution; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Internet Conference (WICON), 2010 The 5th Annual ICST
  • Conference_Location
    Singapore
  • Electronic_ISBN
    978-963-9799-86-8
  • Type

    conf

  • Filename
    5452655