• DocumentCode
    1702350
  • Title

    Packet Transmission Scheduling Algorithm for Dense Wireless Sensor Networks with Mobile Sink

  • Author

    Sharifkhani, Ali ; Beaulieu, Norman C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    A transmission scheduling algorithm is proposed for wireless sensor networks with high node densities, where a mobile sink is responsible for collecting the information from the sensor nodes with similar observations as well as determining the best transmission strategy. The proposed optimal algorithm and the reduced complexity algorithm are based on the well known tradeoff between the energy consumption and the probability of successful packet arrival at the sink, when the sensor nodes need to share a single transmission channel at each time slot. When the algorithm is used for transmission scheduling, it is advantageous in terms of power consumption and successful packet transmission rate for networks with higher node densities. Moreover, the effect of the cost of transmission power at the sink is studied for different node densities. It is shown that as we increase the cost of power at the sink, the transmission power at the nodes is dynamically adjusted in a way that keeps the average number of transmitted packets high.
  • Keywords
    packet switching; scheduling; wireless sensor networks; dense wireless sensor networks; energy consumption; mobile sink; node density; packet arrival; packet transmission scheduling; sensor node; single transmission channel; Costs; Energy consumption; Energy efficiency; Mobile agents; Mobile computing; Power system modeling; Protocols; Scheduling algorithm; Spread spectrum communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE
  • Conference_Location
    Honolulu, HI
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-4148-8
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2009.5426177
  • Filename
    5426177