• DocumentCode
    2473971
  • Title

    Optimization on channel assignment based on stave principle in star-topology WirelessHART networks

  • Author

    Liao, Jianming ; Liu, Yu

  • Author_Institution
    Coll. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2010
  • fDate
    17-19 Dec. 2010
  • Firstpage
    159
  • Lastpage
    163
  • Abstract
    With rapid development of wireless sensor networks, especially WirelssHART networks, channel assignment in physical layer has been becoming an obstacle for data transmission with increasing amount of various field devices. This paper is mainly written to describe, in star-topology WirelessHART networks, the optimization on channel assignment based on stave principle, which is analogous to a mathematical graph of pitch with respect to time for music notes recording. And the optimization algorithm verification, which adopts software simulation verification and measurement, is then proposed to validate the feasibility and operability of this kind of optimization algorithm. The tasks fulfilled in this paper, also, are related to an ongoing WirelessHART project cooperated with GE, an abbreviation of General Electric Company.
  • Keywords
    channel allocation; data communication; optimisation; telecommunication network topology; wireless sensor networks; General Electric Company; channel assignment; data transmission; mathematical graph; music notes recording; optimization; physical layer; software simulation verification; star-topology wirelessHART networks; stave principle; wireless sensor networks; Computer science; Data communication; Optimization; Physical layer; Software algorithms; Wireless communication; Wireless sensor networks; Channel assignment; star-topology WirelessHART networks; stave principle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8025-8
  • Type

    conf

  • DOI
    10.1109/ICACIA.2010.5709873
  • Filename
    5709873