Optimal reliable routing path selection in MANET through hybrid PSO-GA optimisation algorithm

Q4 Business, Management and Accounting

International Journal of Mobile Network Design and Innovation Pub Date : 2018-10-04 DOI:10.1504/IJMNDI.2018.10015834

S. R. M. Krishna, M. N. Ramanath, V. K. Prasad

引用次数: 3

Abstract

In mobile ad hoc network (MANETs) judgment in optimal reliable routing path between source and destination is a challenging task because of the mobility nature of nodes and is deficient in the infrastructure of the network which is so dynamic. So the objective of this paper is to identify optimal reliable ordered routing paths between source and destination nodes in MANET. To meet the above challenging task the paper focus on a hybrid algorithm, this combines particle swarm optimisation (PSO) and genetic algorithm (GA) also defied PSO-GA. Motivation of hybrid approach is combining the advantage of these both algorithms. As shown, the performance obtained by the proposed approach is best compare to existing methods.

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基于PSO-GA混合优化算法的MANET最优可靠路由选择

在移动自组织网络(manet)中，由于节点的移动性和网络基础设施的动态性，判断源和目的之间的最优可靠路由路径是一项具有挑战性的任务。因此，本文的目标是在MANET中确定源节点和目标节点之间的最优可靠有序路由路径。为了解决上述难题，本文将粒子群算法(PSO)与遗传算法(GA)相结合，提出了一种混合算法。混合方法的动机是结合这两种算法的优点。如图所示，与现有方法相比，该方法的性能最好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems

CiteScore

0.30

自引率

0.00%

发文量

期刊介绍： The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.