• DocumentCode
    2169731
  • Title

    An Anchor Free Location Algorithm for Large Scale Wireless Sensor Networks

  • Author

    Jianquan, Guo ; Wei, Zhao

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    7
  • Lastpage
    12
  • Abstract
    Anchor free location algorithm realizes locating the nodes in the wireless sensor networks only by the wireless transceiver equipped on each node, needs not add any other equipment or hardware. Moreover, anchor free location algorithm, which needs no anchor or only needs to elect some reference nodes during the location process, is very applicable to large scale wireless sensor networks consists of many low-cost nodes. This paper proposes a anchor free location algorithm that is easy to realize and with satisfactory accuracy for many applications of large scale sensor networks. The algorithm proposed in this paper first elects five reference nodes from the homogenous sensors in the network. The reference nodes are chosen according to certain criteria and can be used as "anchors" to form a coordinate system. Other unknown nodes obtain the distances from the reference nodes by hop gradient algorithm, which is triggered by the sink node and executed by the reference nodes one by one. The process of electing the reference nodes and obtaining the distances from the reference nodes are completed simultaneously. Then the coordinate of each node is calculated on itself by newton\´s iteration method. The starting value of iteration is given in this paper to further reduce the computation. This paper also gives the effect of localization by the algorithm in simulation. The location error influenced by node density is analyzed as well. Finally, there is a summary of the entire paper and lay out the future work that worth studying in deep.
  • Keywords
    iterative methods; transceivers; wireless sensor networks; Newton iteration method; anchor free location algorithm; homogenous sensors; hop gradient algorithm; large scale wireless sensor networks; wireless transceiver; Computational modeling; Costs; Global Positioning System; Hardware; Large-scale systems; Research and development; Time difference of arrival; Time measurement; Transceivers; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechtronic and Embedded Systems and Applications, 2008. MESA 2008. IEEE/ASME International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2367-5
  • Electronic_ISBN
    978-1-4244-2368-2
  • Type

    conf

  • DOI
    10.1109/MESA.2008.4735726
  • Filename
    4735726