Distributed Turbo Coding and Decoding for Wireless Sensor Networks

Author

Chen, June ; Abedi, Ali

Author_Institution

Electr. & Comput. Eng. Dept, Univ. of Maine, Orono, ME, USA

Volume

15

Issue

2

fYear

2011

fDate

2/1/2011 12:00:00 AM

Firstpage

166

Lastpage

168

Abstract

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.

Keywords

iterative decoding; maximum likelihood estimation; network coding; probability; turbo codes; wireless sensor networks; bit error performance; correlated data sampling; decoder structure; distributed decoder; distributed turbo coding; iterative decoding scheme; maximum a posteriori probability decision rule; sensor nodes; signal to noise ratios; wireless sensor network decoding; Distributed codes; MAP decision rule; correlated sources; distributed decoding; iterative decoding; turbo coding; wireless sensor networks;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2011.010311.102118

Filename

5682217