Power Consumption Prediction Method for Train‐Health Monitoring Wireless Sensor Networks

Abstract

SUMMARYIn recent years, much research has been conducted on the use of wireless sensor networks (WSN) for monitoring the conditions of railway vehicles. In WSNs for vehicle condition monitoring, the changes in the network configuration caused by both the coupling and decoupling of vehicles and communication environment changes resulting from vehicular motion make the power consumption of the sensor node unpredictable based on the existing approaches. In this paper, we propose a method of predicting the sensor node power consumption for WSNs used for vehicle condition monitoring based on the time‐series Monte Carlo method.