Joint source-channel-network decoding and blind estimation of correlated sensors using concatenated zigzag codes

Javier Del Ser, Mikel Mendicute, Pedro M. Crespo, Sergio Gil-Lopez, Ignacio Olabarrieta

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Focusing on densely deployed wireless sensor networks, this paper presents a novel method for joint source-channel-network coding of distributed correlated sources through multiple access relay channels. In such networks, the role of intermediate sensors as relay nodes permits to achieve enhanced end-to-end error performance and increased spatial diversity in presence of channel fading. This paper addresses this scenario for a two source, single relay architecture by proposing a novel coding approach based on concatenated Zigzag codes, whose low complexity is specially suitable for energy-constrained autonomous systems. Joint decoding and estimation of the parameters defining the correlation between sensors is iteratively performed at the receiver side. Simulation results show that the proposed joint coding scheme attains significant energy gains with respect to traditional routing techniques, specially at high signal to noise ratios.

Original languageEnglish
Title of host publicationAd-Hoc, Mobile and Wireless Networks - 8th International Conference, ADHOC-NOW 2009, Proceedings
Pages30-41
Number of pages12
DOIs
Publication statusPublished - 2009
Event8th International Conference on Ad-Hoc, Mobile and Wireless Networks, ADHOC-NOW 2009 - Murcia, Spain
Duration: 22 Sept 200925 Sept 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5793 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Ad-Hoc, Mobile and Wireless Networks, ADHOC-NOW 2009
Country/TerritorySpain
CityMurcia
Period22/09/0925/09/09

Fingerprint

Dive into the research topics of 'Joint source-channel-network decoding and blind estimation of correlated sensors using concatenated zigzag codes'. Together they form a unique fingerprint.

Cite this