Distributed parameter estimation in unreliable sensor networks via broadcast gossip algorithms.
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.
College of Electronics and Information Engineering, Southwest University, Chongqing 400715, PR China; Texas A & M University at Qatar, Doha 5825, Qatar. Electronic address: huiwei.wang@gmail.com.
Huiwei
H
Wang
College of Electronics and Information Engineering, Southwest University, Chongqing 400715, PR China. Electronic address: xfliao@swu.edu.cn.
Xiaofeng
X
Liao
Department of Information Systems and Computing, Brunel University, Uxbridge, Middlesex, UB8 3PH, UK; Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia. Electronic address: zidong.wang@brunel.ac.uk.
Zidong
Z
Wang
Texas A & M University at Qatar, Doha 5825, Qatar. Electronic address: tingwen.huang@qatar.tamu.edu.
Tingwen
T
Huang
School of Electrical and Information Engineering, The University of Sydney, Australia. Electronic address: guo.chen@sydney.edu.au.
Guo
G
Chen
D000465:Algorithms; D003142:Communication; D003195:Computer Communication Networks; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D013269:Stochastic Processes
Broadcast gossip algorithm; Distributed parameter estimation; Quantized communication; Unreliable sensor networks