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

Hassan, Mustafa Hamid and Jubair, Mohammed Ahmed and A. Mostafa, Salama and Kamaludin, Hazalila and Mustapha, Aida and Md Fudzee, Mohd Farhan and Mahdin, Hairulnizam (2020) A general framework of genetic multi-agent routing protocol for improving the performance of MANET environment. IAES International Journal of Artificial Intelligence, 9 (2). pp. 310-316. ISSN 2252-8938

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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.

Item Type: Article
Uncontrolled Keywords: Bandwidth Delay Genetic algorithm Mobile Ad-hoc network Multi-agent system
Subjects: T Technology > TD Environmental technology. Sanitary engineering
Divisions: Faculty of Computer Science and Information Technology > Department of Information Security
Depositing User: Mr. Shahrul Ahmad Bakri
Date Deposited: 14 Mar 2022 01:51
Last Modified: 14 Mar 2022 01:51
URI: http://eprints.uthm.edu.my/id/eprint/6674

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