OPTIMIZED TRANSMISSION FOR CONSENSUS IN WIRELESS SENSOR NETWORKS

被引：0
|
作者：
Khobahi, Shahin [1 ]
Soltanalian, Mojtaba [1 ]
机构：
[1] Univ Illinois, Dept Elect & Comp Engn, Chicago, IL 60607 USA
来源：
2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2018年
基金：
美国国家科学基金会;
关键词：
Alternating direction method of multipliers (ADMM); consensus algorithms; decentralized estimation; parameter estimation; wireless sensor networks; AD-HOC WSNS; DISTRIBUTED ESTIMATION; MULTIPLE-ACCESS; NOISY LINKS; DESIGN; SIGNALS; RADAR; MIMO;
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 present a consensus-based framework for decentralized estimation of deterministic parameters in wireless sensor networks (WSNs). In particular, we propose an optimization algorithm to design (possibly complex) sensor gains in order to achieve an estimate of the parameter of interest that is as accurate as possible. The proposed design algorithm employs a cyclic approach capable of handling various sensor gain constraints. In addition, each iteration of the proposed design framework is comprised of the Gram-Schmidt process and power-method like iterations, and as a result, enjoys a low-computational cost.
引用
收藏
页码：3419 / 3423
页数：5
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