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Discrete Dynamics in Nature and Society
Volume 2014 (2014), Article ID 957439, 10 pages
Research Article

Distributed Asynchronous Fusion Algorithm for Sensor Networks with Packet Losses

School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China

Received 20 September 2013; Revised 3 December 2013; Accepted 4 December 2013; Published 9 January 2014

Academic Editor: Lifeng Ma

Copyright © 2014 Tianpeng Chu et al. 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.


This paper is concerned with the problem of distributed estimation fusion over peer-to-peer asynchronous sensor networks with random packet dropouts. A distributed asynchronous fusion algorithm is proposed via the covariance intersection method. First, local estimator is developed in an optimal batch fashion by constructing augmented measurement equations. Then the fusion estimator is designed to fuse local estimates in the neighborhood. Both local estimator and fusion estimator are developed by taking into account the random packet losses. The presented estimation method improves local estimates and reduces the estimate disagreement. Simulation results validate the effectiveness of the proposed distributed asynchronous fusion algorithm.