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

One of the major challenges in Wireless Body Area Networks (WBANs) is to prolong the lifetime of network. Tra- ditional research work focuses on minimizing transmit power; however, in the case of short range communication the consumption power in decoding is significantly larger than transmit power....

Full description

Saved in:
Bibliographic Details
Published inProcedia computer science Vol. 21; pp. 449 - 454
Main Authors Javaid, N., Rehman, O., Alrajeh, N., Khan, Z.A., Manzoor, B., Ahmed, S.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2013
Subjects
Adaptive Iterative Decoding
Block codes
Convolutional codes
Error correction
Iterative decoding
Low Density Parity Check
Convolutional codes
Low Density Parity Check
Adaptive Iterative Decoding
Error correction
Block codes
Iterative decoding
Online AccessGet full text

Cover

More Information
Summary:One of the major challenges in Wireless Body Area Networks (WBANs) is to prolong the lifetime of network. Tra- ditional research work focuses on minimizing transmit power; however, in the case of short range communication the consumption power in decoding is significantly larger than transmit power. This paper investigates the minimization of total power consumption by reducing the decoding power consumption. For achieving a desired Bit Error Rate (BER), we introduce some fundamental results on the basis of iterative message-passing algorithms for Low Density Parity Check Code (LDPC). To reduce energy dissipation in decoder, LDPC based coded communications between sensors are considered. Moreover, we evaluate the performance of LDPC at different code rates and introduce Adaptive Itera- tive Decoding (AID) by exploiting threshold on the number of iterations for a certain BER (10−4). In iterative LDPC decoding, the total energy consumption of network is reduced by 20 - 25%.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2013.09.060