A Hybrid Approach Using Ant Colony Optimization and Binary Particle Swarm Optimization (ACO: BPSO) for Energy Efficient Multi-path Routing in MANET

Valanto Alappatt, P. M. Joe Prathap
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引用次数: 5

Abstract

Independent mobile devices which are connected through wireless with certain energy called the MANET. Communications between these devices on the network has a constraint of less lifetime of the nodes due to energy consumption. Optimization methods are largely used for increasing the network life time. This paper proposes a hybrid method ACO: BPSO which combines the Ant Colony Optimization along with the Binary Particle Swarm Optimization for increasing the life time of the network. The ACO helps in toggling between the ACTIVE and SLEEP modes of the nodes. The proposed method is tested using the NS2 simulator and the results seems interestingly good in metrics such as throughput, PDR and residual energy when compared with other techniques.
基于蚁群优化和二元粒子群优化(ACO: BPSO)的多路径路由算法
通过无线连接的独立移动设备,具有一定的能量,称为MANET。由于能量消耗,网络上这些设备之间的通信具有节点寿命较短的约束。优化方法主要用于增加网络寿命。本文提出了一种将蚁群算法与二元粒子群算法相结合的混合蚁群优化算法:蚁群优化算法。ACO帮助在节点的ACTIVE和SLEEP模式之间切换。该方法在NS2模拟器上进行了测试,结果表明,与其他技术相比,该方法在吞吐量、PDR和剩余能量等指标上表现良好。
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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