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

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, v channels In such networks. the role of, Intermediate Sensors as relay nodes permits W 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 oil concatenated Zigzag codes, whose low complexity is Specially suitable for energy-constrained autonomous system Joint decoding. and estimation of the parameters defining the correlation between sensors is itenaively performed at, the receiver side Simulation results show that, the proposed joint, coding scheme kat,a significant, energy with respect to traditional routing techniques specially at high signal to noise ratios