Optimal location assignment of wireless access switches in a mobile ATM network

Considers the wireless access switch (WASW) planning problem of wireless/mobile ATM networks and suggests a genetic algorithm for solving it. We first introduce our genetic optimization process. We also develop analytical models to determine the tracking and locating costs for mobile switches. The fitness function is formed by these analytical models. Load balancing and the call-to-mobility ratio are also considered in our fitness function. Finally, we give an example scenario to demonstrate the functionality of our genetic algorithm.