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Content Provider | IEEE Xplore Digital Library |
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Author | Sottile, F. Spirito, M.A. |
Copyright Year | 2008 |
Description | Author affiliation: Ist. Superiore Mario Boella, Turin (Sottile, F.; Spirito, M.A.) |
Abstract | Moore at al. presented in [1] a cluster-based distributed algorithm for localizing wireless sensor network (WSN) nodes in presence of range measurement noise. They introduced the notion of "robust quadrilaterals" as a means of avoiding flip ambiguities that often corrupt the results of localization algorithm. This $paper^{1}$ proposes an enhancement of the algorithm presented in [1] that uses a new quadrilateral robustness test. A second novel distributed algorithm for anchor-less localization of WSN nodes in presence of range measurements noise is presented. This second algorithm reduces the total computational complexity with respect to the first two algorithms by a factor at least equal to the number of nodes in the WSN. It is made of two main steps: the first one, where a single cluster of nodes is localized, and a second one where the other unknown nodes are estimated by successive trilaterations. The original algorithm [1] and the two novel algorithms proposed in this paper are compared by means of simulations in terms of complexity, convergence and location accuracy performance. |
Starting Page | 46 |
Ending Page | 54 |
File Size | 269732 |
Page Count | 9 |
File Format | |
ISBN | 9781424417773 |
DOI | 10.1109/SAHCN.2008.16 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-06-16 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Wireless sensor networks Clustering algorithms Noise robustness Intelligent sensors Topology Distributed algorithms Noise measurement Spread spectrum communication Coordinate measuring machines Reflection |
Content Type | Text |
Resource Type | Article |
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