NDLI: A new algorithm for relative localization in wireless sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Shang, Y. Meng, J. Shi, H.
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. Sci., Missouri Univ., Columbia, MO, USA (Shang, Y.; Meng, J.; Shi, H.)
Abstract	Summary form only given. Knowing the positions of nodes in sensor networks are essential for many applications. We propose a new method, MDS-MAP(R), that determines the relative positions of nodes based on local distance information. Given a communication path between a starting node and a remote node, the nodes on the path first compute their local relative maps based on local distance estimates in a distributed fashion, using the MDS-MAP method. Then, the relative maps of adjacent nodes along the path are aligned based on their common nodes and their optimal linear transformation parameters are computed. Finally, the relative position of the remote node in the coordinate system of the starting node is determined by applying the sequence of linear transformations. The method can easily be extended from the single-path peer-to-peer communication situation to other types of communications such as multicasting or broadcasting. The accuracy of relative position estimation is affected by several factors, including the network connectivity, the errors of local distance measures, the length of the path, and the number of common nodes of two adjacent relative maps. Through simulation, we analyze the effect of these factors on the position estimation errors. We show that the new method performs well on both regular and irregular networks when there are enough connectivity and the distance measurement errors are small.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Parallel Processing
File Size	1483366
File Format	PDF
ISBN	0769521320
DOI	10.1109/IPDPS.2004.1302933
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-04-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Peer to peer computing Distributed computing Broadcasting Length measurement Position measurement Analytical models Estimation error Performance evaluation Distance measurement
Content Type	Text
Resource Type	Article

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