• DocumentCode
    2845106
  • Title

    Research and Design of Redundant Cluster-Head Model in WIA-PA Based on Adaptive Heartbeat Protocol

  • Author

    Zhang Dan ; Liu Feng

  • Author_Institution
    Coll. of Comput. & Inf. Sci., Southwest Univ., Chongqing, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    WIA-PA is a specification of wireless networks used for industrial-process automation. It has a two-tier network topology: Star and Mesh. In star network all the access can communicate with other devices through the Cluster-Head. In this paper, we have researched and designed redundant clusterhead model based on adaptive heartbeat protocol for bottlenecks in Star network. The model divides redundant cluster-head system into three modules, and achieves to monitor the states of the main cluster-head and the redundant dynamically by improving the traditional technology of heartbeat, at the same time the introduction of sleeping mechanism greatly reduces the energy consumption of WIA-PA network. Finally, in the actual WIA-PA environment we use IAR platform to develop a redundant model for test to verify the availability and reliability.
  • Keywords
    factory automation; protocols; telecommunication network topology; wireless mesh networks; WIA-PA; adaptive heartbeat protocol; industrial-process automation; mesh topology; redundant cluster-head model; star topology; two-tier network topology; wireless networks; Access protocols; Automation; Communication industry; Heart beat; Heart rate measurement; Industrial control; Monitoring; Network topology; Telecommunication network reliability; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5365032
  • Filename
    5365032