AVERAGING BASED DISTRIBUTED ESTIMATION ALGORITHM FOR SENSOR NETWORKS WITH QUANTIZED AND DIRECTED COMMUNICATION

被引：0

作者：

Zhu, Shanying ^{[1
]}

Soh, Yeng Chai ^{[1
]}

Xie, Lihua ^{[1
]}

Liu, Shuai ^{[1
]}

机构：

[1] Nanyang Technol Univ, EXQUISITUS, Ctr E City, Sch Elect & Elect Engn, 50 Nanyang Ave, Singapore 639798, Singapore

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP) | 2015年

基金：

新加坡国家研究基金会;

关键词：

Distributed estimation; probabilistic quantization; running average; directed topology; CONSENSUS ALGORITHMS; DESIGN;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In this paper, we consider the distributed parameter estimation problem over sensor networks in the presence of quantized data and directed communication links. We propose a two-stage algorithm aiming at achieving the centralized sample mean estimate in a distributed manner. The running average technique is utilized in the proposed algorithm to smear out the randomness caused by the probabilistic quantization scheme. It is shown that the centralized estimate can be achieved in the mean square sense, which is not observed in the conventional consensus algorithms. Simulation results are presented to illustrate the effectiveness of the proposed algorithm and highlight the improvements by using running average technique.

引用

页码：3202 / 3206

页数：5

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