QoS based Fair Load-Balancing: Paradigm to IANRA Routing Algorithm for Wireless Networks (WNs)

2008 11th International Conference on Computer and Information Technology Pub Date : 2008-12-01 DOI:10.1109/ICCITECHN.2008.4803001

Ayyoub Akbari Moghanjoughi, Sabira Khatun, Borhanuddin Mohd. Ali, R. Abdullah

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引用次数: 3

Abstract

In this paper, a new algorithm, intelligent agent antnet based routing algorithm (IANRA) is proposed to enhance load balancing strategy in wireless networks (WNs). IANRA is based on ants behaviour with some important factors such as: the specific self-organizing behaviour of ant colonies, the shortest path discovery and the related framework of ant colony optimization (ACO). The main focus in IANRA is to find optimum and near optimum route by means of genetic algorithm (GA) using breeding capability of ants. Here, ants can produce a number of generations with the target to discover an optimized route. Hence IANRA is able to prevent of the difficulties which exist in existing routing algorithms, such as ad hoc on-demand distance vector (AODV), AntNet etc. The obtained results show that the efficiency of IANRA algorithm is better than AODV and AntNet or any other related algorithm. In addition, the proposed algorithm (IANRA) is able to reduce the end-to-end delay and increase the packet delivery ratio significantly.

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基于QoS的公平负载均衡:无线网络IANRA路由算法范式

本文提出了一种新的基于智能代理蚁网的路由算法(IANRA)来增强无线网络的负载均衡策略。蚁群优化算法是基于蚁群行为的算法，具有蚁群特定的自组织行为、最短路径发现和相关的蚁群优化框架等重要因素。IANRA的研究重点是利用蚁群的繁殖能力，通过遗传算法寻找最优和近似最优路径。在这里，蚂蚁可以产生许多代的目标，以发现一个优化的路线。因此，IANRA能够避免现有路由算法(如ad hoc按需距离矢量(AODV)， AntNet等)中存在的困难。实验结果表明，IANRA算法的效率优于AODV和AntNet等相关算法。此外，所提出的算法(IANRA)能够显著降低端到端延迟，提高数据包的分发率。

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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2008 11th International Conference on Computer and Information Technology

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