• DocumentCode
    1623817
  • Title

    Minimal Time and Conflict-Free Schedule for Convergecast in Wireless Sensor Networks

  • Author

    Tsai, Hua-Wen ; Chen, Tzung-Shi

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan
  • fYear
    2008
  • Firstpage
    2808
  • Lastpage
    2812
  • Abstract
    A time division multiple access (TDMA) scheduling technique, which solves collision problem and collects a complete data efficiently, is adopted to assign communication mission into the available time slots. This paper proposes a novel conflict-free convergecast scheduling method to minimize the collecting time in a wireless sensor network. The proposed method first constructs a tree structure in the sensor network and utilizes the tree information to schedule a conflict-free convergecast. The simulated results show that the proposed method can diminish the required timeslots efficiently and achieve a conflict-free convergecast. The contributions of the work are to accelerate the speed of data collection, collect the complete data from the sensor network, reduce the energy consumption of sensors and prolong the network lifetime.
  • Keywords
    scheduling; telecommunication network reliability; telecommunication network routing; telecommunication network topology; time division multiple access; trees (mathematics); wireless sensor networks; TDMA scheduling technique; collecting time minimization; collision problem; conflict-free convergecast scheduling algorithm; minimal time schedule; network lifetime; time division multiple access; topology networks; tree route; tree structure; wireless sensor networks; Biosensors; Chemical and biological sensors; Computer science; Delay; Energy consumption; Processor scheduling; Scheduling algorithm; Time division multiple access; Wireless application protocol; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008. ICC '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2075-9
  • Electronic_ISBN
    978-1-4244-2075-9
  • Type

    conf

  • DOI
    10.1109/ICC.2008.529
  • Filename
    4533565