• DocumentCode
    1918950
  • Title

    Load-Balanced Trees for Data Collection in Wireless Sensor Networks

  • Author

    Huang, Chung-Kuo ; Chang, Guey Yun ; Sheu, Jang-Ping

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Jhongli, Taiwan
  • fYear
    2012
  • fDate
    10-13 Sept. 2012
  • Firstpage
    474
  • Lastpage
    479
  • Abstract
    In static wireless sensor networks, it is an important research issue to achieve effectively periodic data collection and prolong the network lifetime. In this paper, a distributed k-load-balanced tree scheme is proposed to prolong the network lifetime for periodic data collection. A k-load-balanced tree is a tree that the difference of the number of children of each two non-leaf nodes in a network is less than k. Each node chooses the node with the least current number of children and number of neighbor as parent for avoiding that the difference of the number of children of each two non-leaf nodes in a network is more than k. The simulation results show that our scheme can prolong the network lifetime and the network delay time is close to the result of centralized method.
  • Keywords
    distributed processing; resource allocation; trees (mathematics); wireless sensor networks; distributed k-load-balanced tree; network delay time; network lifetime; nonleaf nodes; periodic data collection; static wireless sensor networks; Energy consumption; Network topology; Protocols; Time division multiple access; Vegetation; Wireless sensor networks; Load-balanced; data collection; time division multiple access (TDMA); wireless sensor networks (WSNs);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing Workshops (ICPPW), 2012 41st International Conference on
  • Conference_Location
    Pittsburgh, PA
  • ISSN
    1530-2016
  • Print_ISBN
    978-1-4673-2509-7
  • Type

    conf

  • DOI
    10.1109/ICPPW.2012.65
  • Filename
    6337515