A Markov-Middleton model for Corona noise in WSN transmission line monitoring

Abstract

This paper investigates the effect of the Corona noise on the performance of wireless sensor networks (WSNs) used for the transmission line monitoring. Toward this goal, a Markov-Middleton channel model that is affected by the Corona noise occurring in the high voltage transmission lines is proposed. In addition, an analytical expression for the packet loss rate of the system is derived. In such a noisy channel, the performance of a Zigbee-based WSN network is simulated using the NS-2 network simulator. Analytical and simulation results show that the Corona noise has significant effects on the performance of such networks and this phenomenon should be taken into account on the transceiver design for the power line monitoring.