IAES International Journal of Artificial Intelligence (IJ-AI)
Vol 9, No 2: June 2020

A general framework of genetic multi-agent routing protocol for improving the performance of MANET environment

Mustafa Hamid Hassan (Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia)
Mohammed Ahmed Jubair (Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia)
Salama A. Mostafa (Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia)
Hazalila Kamaludin (Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia)
Aida Mustapha (Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia)
Mohd Farhan Md. Fudzee (Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia)
Hairulnizam Mahdin (Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia)



Article Info

Publish Date
01 Jun 2020

Abstract

These days, the fields of Mobile Ad hoc Network (MANET) have provided increasing prevalence and consequently, MANET is now a subject of considerable significance for the researchers to instigate research activities. MANET is the collaborative commitment of an assemblage of portable (or mobile) hubs (or nodes) without the necessary mediation of any unified (or centralized) gateway (or access point) or existent framework. There exists a growing inclination or course to embrace MANET for business utilization. MANET is a rising domain of research to give different services in communication to end-clients or consumers. However, these communication services of MANET utilize a large amount of transfer speed (or bandwidth) and a huge measure of web speed. Bandwidth optimization is essential in different information interchanges for fruitful acknowledgement and the application of such a technological innovation. This paper integrates the Genetic Algorithm (GA) and the Multi-Agent System (MAS) to improve the QoS requirements. The proposed framework called Genetic Multi-Agent Routing Protocol (GMARP). The aims of the proposed framework are to utilize the benefits of both approaches in order to fulfil QoS such as (delay, bandwidth, and the number of hops) in the different types of routing conventions (or protocols) such as being (proactive and reactive). In this paper is a simulation scenario to demonstrate the ability of the proposed framework to be satisfied with QoS requirements.

Copyrights © 2020






Journal Info

Abbrev

IJAI

Publisher

Subject

Computer Science & IT Engineering

Description

IAES International Journal of Artificial Intelligence (IJ-AI) publishes articles in the field of artificial intelligence (AI). The scope covers all artificial intelligence area and its application in the following topics: neural networks; fuzzy logic; simulated biological evolution algorithms (like ...