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One of the major challenges in Wireless Body Area Networks (WBANs) is toprolong the lifetime of network. Traditional research work focuses onminimizing transmit power, however, in the case of short range communicationthe consumption power in decoding is significantly larger than transmit power.This paper investigates the minimization of total power consumption by reducingthe decoding power consumption. For achieving a desired Bit Error Rate (BER),we introduce some fundamental results on the basis of iterative message-passingalgorithms for Low Density Parity Check Code (LDPC). To reduce energydissipation in decoder, LDPC based coded communications between sensors areconsidered. Moreover, we evaluate the performance of LDPC at different coderates and introduce Adaptive Iterative Decoding (AID) by exploiting thresholdon the number of iterations for a certain BER. In iterative LDPC decoding, thetotal energy consumption of network is reduced by 20 to 25 percent.

AID: An Energy Efficient Decoding Scheme for LDPC Codes in Wireless Body Area Sensor Networks