• DocumentCode
    2208624
  • Title

    Aggregate node placements in sensor networks

  • Author

    Liang, Weifa ; Ma, Guanjun ; Xu, Yinlong ; Shi, Jiugen

  • Author_Institution
    DCS, ANU, Canberra, ACT, Australia
  • fYear
    2008
  • fDate
    19-21 Nov. 2008
  • Firstpage
    926
  • Lastpage
    932
  • Abstract
    In this paper we consider the design issue of sensor networks by placing a few powerful aggregate nodes into a dense sensor network such that the network lifetime is significantly prolonged when performing data gathering. Specifically, the problem is to place K aggregate nodes into a dense sensor network of n sensor nodes with K¿n such that the lifetime of the resulting network is maximized, subject to the constraints that both the maximum transmission range of an aggregate node and the maximum transmission delay between an aggregate node and a sensor node covered by the aggregate node are met. Clearly, this is a joint optimization problem of aggregate node placement and the communication structure, which is NP-hard. We approach the problem by devising a fast and scalable heuristic algorithm. We also conduct experiments by simulation to evaluate its performance, and the experimental results show that the proposed algorithm outperforms a commonly equal distance placement schema significantly.
  • Keywords
    computational complexity; wireless sensor networks; NP-hard problems; aggregate node placements; heuristic algorithm; joint optimization problem; maximum transmission delay; sensor networks; Aggregates; Australia; Batteries; Distributed control; Energy consumption; Heuristic algorithms; Routing; Sensor phenomena and characterization; Sensor systems; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems, 2008. ICCS 2008. 11th IEEE Singapore International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-2423-8
  • Electronic_ISBN
    978-1-4244-2424-5
  • Type

    conf

  • DOI
    10.1109/ICCS.2008.4737320
  • Filename
    4737320