NDLI: A new splitting-merging paradigm for distributed localization in wireless sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Motevallian, S.A. Lu Xia Anderson, B.D.O.
Copyright Year	2013
Description	Author affiliation: Australian Nat. Univ. & Nat. ICT, Canberra, ACT, Australia (Motevallian, S.A.; Lu Xia; Anderson, B.D.O.)
Abstract	This paper proposes a new merging (stitching) scheme for distributed localization of wireless sensor networks. In splitting-merging localization techniques, the network is first split into small sub-networks and each sub-network self-localizes itself, possibly in its own rather than a global coordinate basis. Then by using a stitching strategy they are merged back to compute the position of the nodes in a global coordinate basis. Unlike the existing techniques in which the stitchable sub-networks must have at least 3 nodes in common for the stitching to succeed, the proposed method can systematically address all possible scenarios (even when the two sub-networks are disjoint) while keeping the computational complexity fairly low. The scheme puts the idea of four-bar linkage mechanism and bilateration together in tackling the problem. Therefore, theoretically the proposed method can localize a broader class of networks which are localizable by any splitting-stitching technique. Simulation comparisons with trilateration and wheel graphs show a considerably higher percentage of the localized nodes in this technique. This technique in conjunction with some existing distributed splitting technique, provides a total distributed localization algorithm.
Starting Page	1454
Ending Page	1458
File Size	1453886
Page Count	5
File Format	PDF
ISBN	9781467331227
ISSN	15503607
DOI	10.1109/ICC.2013.6654716
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-09
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Merging Couplings Wheels Clustering algorithms Equations Joints Couplers Four-bar linkage Sensor Networks Distributed Localization Merging-based localization Bilateration
Content Type	Text
Resource Type	Article

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