Open AccessImproving the Performance of Antnet Protocol using Performance Measures Modeling in Mobile Ad Hoc Networks
Author(s) -
T. Sudhakar,
H. Hannah Inbarani
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d7021.118419
Subject(s) - computer science , mobile ad hoc network , mobility model , computer network , wireless ad hoc network , routing protocol , ad hoc on demand distance vector routing , optimized link state routing protocol , adaptive quality of service multi hop routing , distance vector routing protocol , wireless routing protocol , quality of service , distributed computing , network packet , wireless , telecommunications
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.