• DocumentCode
    124683
  • Title

    Quick event detection and reporting in low-duty-cycled wireless sensor networks

  • Author

    Meng-Shiuan Pan ; Ping-Lin Liu

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Tamkang Univ., Taipei, Taiwan
  • fYear
    2014
  • fDate
    3-6 Feb. 2014
  • Firstpage
    1071
  • Lastpage
    1075
  • Abstract
    To save power, many previous works propose to use wake-up scheduling to support data gathering for wireless sensor networks (WSNs). However, these works can only work well for regular data patterns. In this work, we further consider the scenario that the network may randomly have urgent events. Assume that time is divided into fixed-length slots, and several consecutive slots are grouped as a frame. For a node, we assign one regular slot and several event slots to it. Each node wakes up in its regular slots to sense the environmental information and to gather reports from its child nodes. In a frame, each node also wakes up in the assigned event slots for a short period to detect possible events. When detecting an event, the node wakes its ancestors up to relay event packets. In this paper, we design a two-phase approach to support quick event detection and reporting in a low-duty-cycled WSN. Simulation results show that our designs can indeed achieve our goals.
  • Keywords
    packet radio networks; relay networks (telecommunication); signal detection; wireless sensor networks; WSN; assigned event slots; child nodes; consecutive slots; data gathering; fixed-length slots; low-duty-cycle; quick event detection; regular data patterns; regular slot; relay event packets; wake-up scheduling; wireless sensor networks; Irrigation; Object tracking; Relays; Simulation; Wireless sensor networks; Zigbee; event processing; graph theory; scheduling; tree construction; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Networking and Communications (ICNC), 2014 International Conference on
  • Conference_Location
    Honolulu, HI
  • Type

    conf

  • DOI
    10.1109/ICCNC.2014.6785487
  • Filename
    6785487