NDLI: A new variant of sum-product algorithm for sensor self-localization in wireless networks

Content Provider	IEEE Xplore Digital Library
Author	Wei Li Zhen Yang Haifeng Hu
Copyright Year	2013
Description	Author affiliation: Key Lab. of Broadband Wireless Commun. & Sensor Network Technol., Nanjing Univ. of Posts & Telecommun., Nanjing, China (Wei Li; Zhen Yang; Haifeng Hu)
Abstract	Graphical models have been widely applied in solving distributed inference problems in wireless sensor networks (WSNs). In this paper, we formulate the sensor self-localization problem in a WSN as an inference problem on a factor graph. Using a sequential schedule of message updates, a sequential uniformly reweighted sum-product algorithm (SURW-SPA) is developed for self-localization problems. The proposed algorithm combines the distributed nature of belief propagation (BP) with the improved performance of sequential tree-reweighted message passing (TRW-S) algorithm. We apply the SURW-SPA to sensor self-localization in large-scale static networks, and evaluate its performance in terms of localization accuracy and convergence speed.
Starting Page	628
Ending Page	632
File Size	421181
Page Count	5
File Format	PDF
ISBN	9781479910335
DOI	10.1109/ICCChina.2013.6671189
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor network Wireless sensor networks Schedules Sum-product algorithm Message passing Wireless networks Cooperative localization Factor graph Belief propagation Sum product algorithm
Content Type	Text
Resource Type	Article

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