Fuzzy Logic-based Battle Field Mobility Prediction Method in War-game Simulation

摘要

War-game simulation models the situation of a battle field and has been used for analyzing the operation or the occupation of a troop. It is necessary to develop a fast and accurate mobility prediction method of a weapon or equipment with mobility in a battle field. However, communication resources are limited and links are frequently disconnected. A mobile node moving in war-game simulation is greatly influenced by various environmental factors. This paper proposes a fuzzy logic-based battle field mobility prediction method in war-game simulation in order to predict the mobility of a mobile node and provide accurate location information with mobile nodes according to change of location. A base station communicates with mobile nodes and detects their locations. In this study, we use fuzzy logic control and perform a velocity inference on the basis of a number of rules by assigning an intelligent agent to each base station. The location error associated with FLMP is lesser than that with existing models such as the mobile distance-based mobility prediction model and the mobile velocity-based mobility prediction model. Experimental results indicate that the proposed method improves the efficiency of mobility prediction in hybrid wireless network.