Paper Info
Title
Power allocation policy for distributed estimation in wireless networks
Abstract
We consider a sensor network monitoring a stochastic process. The sensors exchange information over wireless communication channels affected by noise. The goal of the sensors is to compute accurate estimates of the state of the stochastic process under limited energy available for communications. We introduce a distributed algorithm which computes a power allocation scheme aimed at ensuring accurate state estimates and at saving communication energy. The distributed algorithm arise from solving an approximate convex optimization problem with constraints. We present how the power allocation scheme can be used for performing distributed estimation in the case where measurements are shared between sensors.
Year
DOI
Venue
2011
10.1109/CDC.2011.6160910
Decision and Control and European Control Conference
Keywords
Field
DocType
approximation theory,convex programming,distributed algorithms,state estimation,stochastic processes,wireless channels,wireless sensor networks,approximate convex optimization problem,communication energy saving,distributed algorithm,distributed estimation,power allocation policy,sensors exchange information,state estimation,stochastic process,wireless communication channel,wireless sensor network monitoring
Wireless network,Mathematical optimization,Wireless,Computer science,Brooks–Iyengar algorithm,Communication channel,Stochastic process,Distributed algorithm,Wireless sensor network,Convex optimization,Distributed computing
Conference
ISSN
ISBN
Citations 
0743-1546 E-ISBN : 978-1-61284-799-3
978-1-61284-799-3
0
PageRank 
References 
Authors
0.34
7
2
Name
Order
Citations
PageRank
Ion Matei114913.66
John S. Baras21953257.50