Joint Source-Channel-Network Decoding and Blind Estimation of Correlated Sensors Using Concatenated Zigzag Codes

Authors:
Javier Ser;Mikel Mendicute;Pedro M. Crespo;Sergio Gil-Lopez;Ignacio (Iñaki) Olabarrieta
Affiliations:
TECNALIA-Robotiker TELECOM Unit, Zamudio, Spain 48170;University of Mondragon, Arrasate, Spain 20500;CEIT and TECNUN, (University of Navarra), San Sebastian, Spain 20018;TECNALIA-Robotiker TELECOM Unit, Zamudio, Spain 48170;TECNALIA-Robotiker TELECOM Unit, Zamudio, Spain 48170
Venue:
ADHOC-NOW '09 Proceedings of the 8th International Conference on Ad-Hoc, Mobile and Wireless Networks
Year:
2009

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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.