Sequential Uniformly Reweighted Sum-Product Algorithm for Cooperative Localization in Wireless Networks

Wei Li, Zhen Yang and Haifeng Hu

International Journal of Distributed Sensor Networks, 2014, vol. 10, issue 8, 164816

Abstract: Graphical models have been widely applied in solving distributed inference problems in wireless networks. In this paper, we formulate the cooperative localization problem in a mobile network 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 mobile 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 cooperative localization in both static and mobile networks, and evaluate its performance in terms of localization accuracy and convergence speed.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:10:y:2014:i:8:p:164816

DOI: 10.1155/2014/164816

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