RT Conference Proceedings
T1 Joint source-channel-network decoding and blind estimation of correlated sensors using concatenated zigzag codes
A1 Del Ser, Javier
A1 Mendicute, Mikel
A1 Crespo, Pedro M.
A1 Gil-Lopez, Sergio
A1 Olabarrieta, Ignacio
AB 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.
SN 3642043828
SN 9783642043826
SN 0302-9743
YR 2009
FD 2009
LK https://hdl.handle.net/11556/1647
UL https://hdl.handle.net/11556/1647
LA eng
NO Del Ser , J , Mendicute , M , Crespo , P M , Gil-Lopez , S & Olabarrieta , I 2009 , Joint source-channel-network decoding and blind estimation of correlated sensors using concatenated zigzag codes . in Ad-Hoc, Mobile and Wireless Networks - 8th International Conference, ADHOC-NOW 2009, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol. 5793 LNCS , pp. 30-41 , 8th International Conference on Ad-Hoc, Mobile and Wireless Networks, ADHOC-NOW 2009 , Murcia , Spain , 22/09/09 . https://doi.org/10.1007/978-3-642-04383-3_3
NO conference
DS TECNALIA Publications
RD 28 jul 2024