A new routing table update and ant migration scheme for ant based control in telecommunication networks

Abstract

Swarm intelligence based algorithms for routing in telecommunication networks have gained considerable amount of attention in recent years. Swarm intelligence, demonstrated by natural biological swarms, exhibits numerous powerful features that are desirable in communication systems. Mobile agents having swarm intelligence similar to the real life ants have been employed to achieve a general, flexible and modular solution for routing in communication networks. In this paper, we propose mobile agents that are more advanced than those found in the previous literatures. Our proposal includes a new migration scheme for the ant-like mobile agents and a new routing table management scheme. Simulation results show that our proposed schemes can ultimately result in better load balancing and better performance within telecommunication networks.