Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Reducing access energy of on-chip data memory considering active data bitwidth
Proceedings of the 2002 international symposium on Low power electronics and design
Parallel interleaver design and VLSI architecture for low-latency MAP turbo decoders
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
A low-complexity turbo decoder architecture for energy-efficient wireless sensor networks
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
An energy-efficient clustered distributed coding for large-scale wireless sensor networks
The Journal of Supercomputing
Hi-index | 0.00 |
In this paper, we validate a novel augmentation to the physical layer (PHY) of the IEEE 802.15.4 standard for wireless sensor networks. This augmentation implements interleaving and forward error correction (FEC) encoding within sensor node transmitters, facilitating a significant reduction in their transmission energy. We detail the design, parameterization, and implementation of this FEC encoder and show that it has insignificant energy consumption compared with the transmission energy reduction that it affords. Our analysis shows that net energy savings of 24.8%-31.4% can be achieved by the augmented PHY.