Improving the Performance of Antnet Protocol using Performance Measures Modeling in Mobile Ad Hoc Networks

Abstract

A mobile ad hoc network (MANET) forms self-autonomous networks which mean nodes are communicated without the aid of any access point. This network forms an ad hoc (provisional) network which is node are random moves in the simulation area. AntNet is a bio-inspired routing protocol based on real Ant behaviour. Nowadays, Swarm Intelligence (SI) techniques are widely used in various domains. In mobility, nodes are taken seldom position and moving randomly. In this work, we have used standard mobility models like Random Way Point (RWP) model. Also, AntNet routing protocol has been used with well-known wireless routing protocols such as Ad-hoc On-Demand Distance Vector (AODV) and Dynamic Source Routing (DSR). The Performance measures modeling (PMM) used to increase the QoS (Quality of Service) results. Therefore, the performance results of the proposed AntNet-PMM model revealed that better results when compared with other models. The Simulation work was made in Network Simulator (NS2). The obtained NS2 output will be given input to Curve fitting tool in MATLAB. In this work, Packet Delivery Ratio (PDR), Average Delay and Throughput are considered as QoS parameters. Moreover, curve fitting expressions are used to enhance better accuracy such as polynomial expression, rational expression, and power expression.