Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/327286
Type: Artigo
Title: Asymptotically Optimal Power Allocation For Wsns With Mutually Correlated Sensing Data
Author: Wolf
Albrecht; Gonzalez
Diana Cristina; Silveira Santos Filho
Jose Candido; Fettweis
Gerhard
Abstract: It is well known that distributed source coding can improve the reliability and energy efficiency of wireless sensor networks by exploiting the correlation among sensing data. In this letter, we strengthen the benefits of such an approach by proposing a simple, general, efficient power allocation scheme for an arbitrary amount of sensors. The proposed power allocation is asymptotically optimal at high signal-to-noise ratio.
Subject: Distributed Source Coding
Outage Probability
Power Allocation
Slepian-wolf Theorem
Wireless Sensor Network
Editor: IEEE-Inst Electrical Electronics Engineers Inc
Piscataway
Rights: fechado
Identifier DOI: 10.1109/LCOMM.2016.2561921
Address: http://ieeexplore.ieee.org.ez88.periodicos.capes.gov.br/document/7464246/
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
000384642500012.pdf446.81 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.