A general framework of genetic multi-agent routing protocol for improving the performance of MANET environment
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...
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Published in | IAES International Journal of Artificial Intelligence Vol. 9; no. 2; p. 310 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Yogyakarta
IAES Institute of Advanced Engineering and Science
01.06.2020
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Subjects | |
Online Access | Get full text |
ISSN | 2089-4872 2252-8938 2089-4872 |
DOI | 10.11591/ijai.v9.i2.pp310-316 |
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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. |
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AbstractList | 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. |
Author | Hamid Hassan, Mustafa Mahdin, Hairulnizam Mustapha, Aida Kamaludin, Hazalila Md. Fudzee, Mohd Farhan Ahmed Jubair, Mohammed A. Mostafa, Salama |
Author_xml | – sequence: 1 givenname: Mustafa surname: Hamid Hassan fullname: Hamid Hassan, Mustafa – sequence: 2 givenname: Mohammed surname: Ahmed Jubair fullname: Ahmed Jubair, Mohammed – sequence: 3 givenname: Salama surname: A. Mostafa fullname: A. Mostafa, Salama – sequence: 4 givenname: Hazalila surname: Kamaludin fullname: Kamaludin, Hazalila – sequence: 5 givenname: Aida surname: Mustapha fullname: Mustapha, Aida – sequence: 6 givenname: Mohd Farhan surname: Md. Fudzee fullname: Md. Fudzee, Mohd Farhan – sequence: 7 givenname: Hairulnizam surname: Mahdin fullname: Mahdin, Hairulnizam |
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SubjectTerms | Bandwidths Computer simulation Genetic algorithms Mobile ad hoc networks Multiagent systems Optimization Protocol (computers) Quality of service architectures Wireless networks |
Title | A general framework of genetic multi-agent routing protocol for improving the performance of MANET environment |
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