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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
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
Rights: fechado
Identifier DOI: 10.1109/LCOMM.2016.2561921
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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