Design and analysis of fuzzy logic and neural network based transmission power control techniques for energy efficient wireless sensor networks

Abstract

In this paper, we present transmission power control algorithms, based on soft computing techniques, for reducing the energy consumption in wireless sensor network, without affecting its throughput. Two algorithms are designed, one using Artificial Neural Network (ANN) and the other using Fuzzy Logic Control (FLC). The algorithms show marked improvement in performance when compared to the conventional Medium Access Control protocol standard IEEE 802.15.4. We also show the effects of optimizing the proposed methods further using Genetic Algorithm.