A NATURE INSPIRED META-HEURISTIC OPTIMIZATION ALGORITHM FOR A PACKET-SWITCHED NETWORK ROUTING

Abstract

The increase in growth of communication networks such as internet or intranet over large computer network requires a solution of network routing problem to be addressed in a packet-switched network. In the recent years, researchers have introduced several approaches to solve routing problem in other to maintain continuous network transmission without any loss of packets. Until now a number of studies revealed that the most routing devices get distorted when new nodes are added, shortest path and new direction need to be determined when connections go down in between the network nodes, congestion control and delay factor must be put in mind when finding solution to the problem so as to ensure effective network transmission. This paper applied a natured inspired optimization algorithm called Ant colony optimization (ACO) algorithm to reduce some of the problems encounter during routing process. The experimental results showed the robustness of the enhanced routing system when compared with the existing techniques of routing in a packet-switch network.