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Báo cáo hóa học: " Research Article Centroid Localization of Uncooperative Nodes in Wireless Networks Using a Relative Span Weighting Method"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Centroid Localization of Uncooperative Nodes in Wireless Networks Using a Relative Span Weighting Method | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2010 Article ID 567040 10 pages doi 10.1155 2010 567040 Research Article Centroid Localization of Uncooperative Nodes in Wireless Networks Using a Relative Span Weighting Method Christine Laurendeau and Michel Barbeau School of Computer Science Carleton University 1125 Colonel By Drive Ottawa ON Canada K1S 5B6 Correspondence should be addressed to Christine Laurendeau claurend@scs.carleton.ca Received 19 August 2009 Accepted 21 September 2009 Academic Editor Benyuan Liu Copyright 2010 C. Laurendeau and M. Barbeau. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Increasingly ubiquitous wireless technologies require novel localization techniques to pinpoint the position of an uncooperative node whether the target is a malicious device engaging in a security exploit or a low-battery handset in the middle of a critical emergency. Such scenarios necessitate that a radio signal source be localized by other network nodes efficiently using minimal information. We propose two new algorithms for estimating the position of an uncooperative transmitter based on the received signal strength RSS of a single target message at a set of receivers whose coordinates are known. As an extension to the concept of centroid localization our mechanisms weigh each receiver s coordinates based on the message s relative RSS at that receiver with respect to the span of RSS values over all receivers. The weights may decrease from the highest RSS receiver either linearly or exponentially. Our simulation results demonstrate that for all but the most sparsely populated wireless networks our exponentially weighted mechanism localizes a target node within the regulations stipulated for emergency services location accuracy. 1. Introduction Given