Performance evaluation of heuristic algorithms for optimal location of controllers in wireless networks

Abstract

In this paper, we have presented the new Ant Colony Optimization scheme for the optimal location of controllers in wireless networks, which is an important problem in the process of designing cellular mobile networks. Our objective functions are determined by the total distance based on pheromone matrix of ants satisfies capacity constraints to find good approximate solutions. Our proposed algorithms may give feasible solutions to this problem based on the global search for high quality feasible solutions. The experimental results show that our pro-posed algorithm has achieved a much better performance than the previous approaches based on heuristic and evolution algorithms.