NDLI: Localization of irregular Wireless Sensor Networks based on multidimensional scaling

Content Provider	IEEE Xplore Digital Library
Author	Namin, P.H. Tinati, M.A.
Copyright Year	2009
Description	Author affiliation: Faculty of Electrical and Computer Engineering, University of Tabriz, Iran (Namin, P.H.; Tinati, M.A.)
Abstract	In many applications of Wireless Sensor Networks (WSN), it is crucial to know the location of sensor nodes. Although several methods have been proposed, most of them have poor performance in irregularly shaped networks. MDS-MAP is one of the localization methods based on multidimensional scaling (MDS) technique. It uses the connectivity information to derive the location of the nodes in the network. In presence of additional data such as estimated distances between adjacent neighbors, it can also enhance the localization precision. Since MDS-MAP uses the length of the shortest path as Euclidian distance between the nodes, it is sensitive to the shape of the network. In this paper we present MDS-MAP(I), a modified algorithm based on MDS-MAP which improves the localization task in irregular networks. The simulation results show that the algorithm is more reliable in various topologies and achieves a significant performance improvement upon existing method.
Starting Page	79
Ending Page	83
File Size	1095093
Page Count	5
File Format	PDF
ISBN	9781424451395
DOI	10.1109/ATC.2009.5349333
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-12
Publisher Place	Vietnam
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multidimensional systems Costs Shape Computational modeling Application software Multidimensional scaling (MDS) Global Positioning System Wireless sensor networks Network topology Computer network reliability Communications technology Wireless Sensor Networks (WSN) Localization
Content Type	Text
Resource Type	Article

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