Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/11609
Title: Distributed parameter estimation in unreliable sensor networks via broadcast gossip algorithms
Authors: Wang, H
Liao, X
Wang, Z
Huang, T
Chen, G
Keywords: Broadcast gossip algorithm;Distributed parameter estimation;Quantized communication;Unreliable sensor networks
Issue Date: 2016
Publisher: Elsevier
Citation: Neural Networks, 73: pp. 1 - 9, (2016)
Abstract: In this paper, we present an asynchronous algorithm to estimate the unknown parameter under an unreliable network which allows new sensors to join and old sensors to leave, and can tolerate link failures. Each sensor has access to partially informative measurements when it is awakened. In addition, the proposed algorithm can avoid the interference among messages and effectively reduce the accumulated measurement and quantization errors. Based on the theory of stochastic approximation, we prove that our proposed algorithm almost surely converges to the unknown parameter. Finally, we present a numerical example to assess the performance and the communication cost of the algorithm.
URI: http://www.sciencedirect.com/science/article/pii/S0893608015001835
http://bura.brunel.ac.uk/handle/2438/11609
DOI: http://dx.doi.org/10.1016/j.neunet.2015.09.008
ISSN: 0893-6080
1879-2782
Appears in Collections:Dept of Computer Science Research Papers

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