• DocumentCode
    1336889
  • Title

    Component-Based Localization in Sparse Wireless Networks

  • Author

    Wang, Xiaoping ; Luo, Jun ; Liu, Yunhao ; Li, Shanshan ; Dong, Dezun

  • Author_Institution
    Sch. of Comput. Sci., Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    19
  • Issue
    2
  • fYear
    2011
  • fDate
    4/1/2011 12:00:00 AM
  • Firstpage
    540
  • Lastpage
    548
  • Abstract
    Localization is crucial for wireless ad hoc and sensor networks. As the distance-measurement ranges are often less than the communication ranges for many ranging systems, most communication-dense wireless networks are localization-sparse. Consequently, existing algorithms fail to provide accurate localization supports. In order to address this issue, by introducing the concept of component, we group nodes into components so that nodes are able to better share ranging and anchor knowledge. Operating on the granularity of components, our design, CALL, relaxes two essential restrictions in localization: the node ordering and the anchor distribution. Compared to previous designs, CALL is proven to be able to locate the same number of nodes using the least information. We evaluate the effectiveness of CALL through extensive simulations. The results show that CALL locates 90% nodes in a network with average degree 7.5 and 5% anchors, which outperforms the state-of-the-art design Sweeps by about 40%.
  • Keywords
    ad hoc networks; distance measurement; estimation theory; wireless sensor networks; CALL; RMBE; Sweeps; anchor distribution; anchor knowledge; communication-dense wireless networks; component-based localization; distance measurement range are; node ordering; ranging-model-based estimation; share ranging; sparse wireless networks; wireless ad hoc networks; wireless sensor networks; Ad hoc networks; Algorithm design and analysis; Distance measurement; Estimation; Joining processes; Merging; Wireless networks; Component-based; finite mergence; localization; node-based; ranging-model-based estimation (RMBE);
  • fLanguage
    English
  • Journal_Title
    Networking, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6692
  • Type

    jour

  • DOI
    10.1109/TNET.2010.2072965
  • Filename
    5586657