• DocumentCode
    2264838
  • Title

    Adaptive weighted scheme for improving mobile sensor node connectivity in IEEE 802.15.4 networks

  • Author

    Yu, Min-Chieh ; Leu, Jenq-Shiou

  • Author_Institution
    Dept. of Electron. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
  • fYear
    2012
  • fDate
    16-20 April 2012
  • Firstpage
    968
  • Lastpage
    973
  • Abstract
    Conventional IEEE802.15.4 wireless sensor network is suitable for fixed sensor nodes. However, there are some issues with mobile sensor nodes joining or leaving the sensor network since the mobile sensor node is easier to lose its connectivity compared to the fixed sensor nodes. In order to regain its connectivity, the mobile sensor nodes must spend more time and energy to perform the re-association procedure, resulting in an efficiency decay of the sensor network. To solve this problem, we refer to the previous research to design an adaptive weighted link quality indicator prediction based scheme in the media access layer. The proposed scheme can reduce the non-connectivity time of mobile sensor node by early performing the re-association procedure. Additionally, we design a simple procedure to lessen the Ping-Pong effect problem without additional computation overhead, thereby improving stability of the connection between the mobile sensor node and its corresponding coordinator.
  • Keywords
    Zigbee; mobile radio; wireless sensor networks; IEEE 802.15.4 networks; adaptive weighted link quality indicator prediction scheme; efficiency decay; fixed sensor nodes; media access layer; mobile sensor node connectivity; ping-pong effect problem; re-association procedure; wireless sensor network; Equations; IEEE 802.15 Standards; Mathematical model; Mobile communication; Mobile computing; Synchronization; IEEE802.15.4 Wireless Sensor Network; Link Quality Indicator; Media Access Control Layer; Mobile Sensor Node; Ping-Pong Effect;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium (NOMS), 2012 IEEE
  • Conference_Location
    Maui, HI
  • ISSN
    1542-1201
  • Print_ISBN
    978-1-4673-0267-8
  • Electronic_ISBN
    1542-1201
  • Type

    conf

  • DOI
    10.1109/NOMS.2012.6212016
  • Filename
    6212016