Application of energy efficient soft-decision error control in wireless sensor networks
Energy efficient reliable communication over an unpredictable wireless medium is a major challenge for resource constrained wireless sensor nodes in process/environment control application. In this paper, we propose a Soft Decision Decoding (SDD) based advanced Forward Error Correction (FEC) scheme for low power distributed sensor nodes. The proposed BCH (Bose-Chaudhuri-Hocquenghem) based adaptive Chase-2 decoding scheme offers attractive energy benefits as compared to Hard Decision Decoding (HDD). The reduced decoding complexity is obtained by limiting the codeword search space and fewer algebraic operations compared to standard Chase-2. A realistic environmental scenario incorporating path loss, Rayleigh fading and Additive White Gaussian Noise has been considered to investigate the performance of the proposed scheme. A detailed comparison is carried out with HDD of BCH codes using the widely known Crossbow MicaZ node parameters. The simulation results indicate that for low power WSN, the proposed SDD based adaptive scheme offers better tradeoff between energy and reliability than HDD schemes.
KeywordsForward Error Correction (FEC) BCH HDD SDD Chase
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