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
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