Distributed Turbo Coding and Decoding for Wireless Sensor Networks

In this article a distributed turbo coding and iterative decoding scheme is introduced. The proposed scheme with low complexity is suitable for wireless sensor networks applications where many sensors sense similar sources resulting in correlated data sampling. Encoders reside in these sensor nodes which are close to the source, while decoders reside in another group of nodes acting as distributed decoder and relay. The decoder structure is presented using a simple suboptimal solution derived from the maximum a posteriori probability decision rule. Simulation results demonstrates a marked bit error performance at high signal to noise ratios.