• DocumentCode
    431734
  • Title

    Dense wireless sensor networks with mobile sinks

  • Author

    Song, Liang ; Hatzinakos, Dimitrios

  • Author_Institution
    Edward S. Rogers Sr. Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
  • Volume
    3
  • fYear
    2005
  • fDate
    18-23 March 2005
  • Abstract
    We propose to develop wireless sensor networks with mobile sinks (MSSN), under high sensor node density, where multiple sensor nodes need to share one single communication channel in the node-to-sink transmission. Under the guideline of trading network energy consumption for the successfully retrieved packets, optimal and suboptimal transmission scheduling algorithms, which exhibit exponential and linear complexity respectively, are discussed under the desired application. The computer simulations show that the suboptimal algorithms perform nearly as good as the optimal one.
  • Keywords
    computational complexity; optimisation; power consumption; scheduling; wireless sensor networks; communication channel; dense wireless sensor networks; exponential complexity; linear complexity; mobile sinks; network energy consumption; node-to-sink transmission; optimal transmission scheduling; suboptimal transmission scheduling; Application software; Communication channels; Delay; Energy consumption; Global Positioning System; Guidelines; Intelligent sensors; Scheduling algorithm; Wireless networks; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8874-7
  • Type

    conf

  • DOI
    10.1109/ICASSP.2005.1415800
  • Filename
    1415800