Impulsive Noise Reduction in Power Line Communication MAC Protocol with Adaptive Filtering Technique Using Network Simulator-3

Abstract

Power Line Communication (PLC) is one of the communication technologies that uses existing infrastructure for data transmission. Despite the potential to transmit data over power line, there exists a challenge to overcome the effects caused by the impulsive noise. There is a need for impulsive noise reduction to reduce its noise effects and increase the performance of the network. Generally, adaptive filter performs better than any other existing techniques in noise reduction. This study deals with the impulsive noise reduction using the adaptive filter. An adaptive filter using Least Mean Squares (LMS) algorithm is modelled for a PLC-MAC (Medium Access Control) network with 26 nodes using network simulator-3 (ns-3). The performance of this network without the presence of impulsive noise, with the presence of impulsive noise (without noise reduction) and with adaptive noise reduction is compared and analysed.