Development of a swarm intelligence-based Proactive Routing Protocol for Mobile Ad-Hoc Network using Ant Colony Optimization

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This research presents a model of network routing protocol for a Mobile Ad-Hoc networks using ant colony optimization approach and the aim of the proposed protocol is to reduce the network overhead and the delay that is introduced by node mobility in mobile ad-hoc network (MANETs). However, there are two basic techniques embedded in this protocol, the “Local Zone” technique and the “North Neighbor” Table. The methods applied takes an advantage of the fact that the nodes can obtain their location information when they reduce their network overhead during the route discovery process and also reduce the size of the routing table to guarantee faster convergence. Ant mobile ad-hoc network (ANTMANET) is a hybrid Ant Colony Optimization-based (ACO) routing protocol that is based on Swarm Intelligence (SI) routing algorithm and it is known for its high-quality performance compared to other distributed routing algorithms such as Link State algorithm and Distance Vector algorithm. ANTMANET has been benchmarked in various scenarios against several standard routing protocols including the Ad-Hoc On-Demand Distance Vector (AODV), Landmark Ad-Hoc Routing (LANMAR), and Dynamic MANET on Demand (DYMO). Performance metrics such as network overhead, end to-end delay, throughputs and jitter were used to evaluate the performance. Experiments are performed using the QualNet simulator, a test was also conducted to evaluate the performance of ant mobile ad-hoc network (ANTMANET) against an ANTHOCNET network, with both protocols benchmarked against AODV as an established MANET protocol. Ant mobile ad-hoc network (ANTMANET) has demonstrated a notable performance when the algorithm optimized using the model adaptation method that is proposed in this paper.