• DocumentCode
    3006674
  • Title

    Research of Sensor Nodes Artificial Arranging and Round-Robin Scheduling Algorithm for Aggregated Surveillance Targets

  • Author

    Ke-qing Li

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Changshu Inst. of Technol., Suzhou
  • fYear
    2008
  • fDate
    25-26 Sept. 2008
  • Firstpage
    232
  • Lastpage
    235
  • Abstract
    Coverage problem is a fundamental problem and a NP hard problem in wireless sensor networks (WSN), which influencing directly the quality of service of network systems. Coverage problem can be divided into three types, such as point coverage, barrier coverage and area coverage problem. This paper focuses on analyzing the point coverage problem of artificial arrangement model, and puts forward a sensor nodes artificial arranging algorithm for aggregated surveillance targets and a round-robin scheduling algorithm under the circumstance of whole targets be covered entirely. The simulation calculation results show that both algorithms have lower time of computation than other similar algorithms, and schedule as less nodes as possible in each turn, thus both our algorithms can not only save the amount of sensor nodes at the stage of deployment but also prolong the life time of network systems.
  • Keywords
    optimisation; scheduling; surveillance; telecommunication network reliability; wireless sensor networks; NP hard problem; aggregated surveillance target; network system life time; round-robin scheduling algorithm; sensor node artificial arranging algorithm; wireless sensor network; Algorithm design and analysis; Computational modeling; Computer networks; NP-hard problem; Processor scheduling; Quality of service; Round robin; Scheduling algorithm; Surveillance; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing, 2008. WGEC '08. Second International Conference on
  • Conference_Location
    Hubei
  • Print_ISBN
    978-0-7695-3334-6
  • Type

    conf

  • DOI
    10.1109/WGEC.2008.114
  • Filename
    4637434