Distributed parameter estimation in unreliable sensor networks via broadcast gossip algorithms

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• 作者：Huiwei Wang^a ; ^c ; ^{huiwei.wang@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Xiaofeng Liao^a ; ^{xfliao@swu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Zidong Wang^b ; ^e ; ^{zidong.wang@brunel.ac.uk" class="auth_mail" title="E-mail the corresponding author} ; Tingwen Huang^c ; ^{tingwen.huang@qatar.tamu.edu" class="auth_mail" title="E-mail the corresponding author} ; Guo Chen^d ; ^{guo.chen@sydney.edu.au" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Broadcast gossip algorithm ; Distributed parameter estimation ; Quantized communication ; Unreliable sensor networks
• 刊名：Neural Networks
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：73
• 期：Complete
• 页码：1-9
• 全文大小：946 K

文摘

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.