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A hybrid adaptive routing algorithm for mobile WiMAX using swarm intelligence

机译:基于群体智能的移动WiMAX混合自适应路由算法

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The paper presents the WiAntHocNet routing algorithm for mobile WiMAX, which combines ideas from Ant Colony Optimization (ACO) routing with techniques taken from more traditional routing algorithms. The algorithm has hybrid architecture, combining both reactive and proactive mechanisms based on the shortest path ant behavior. Here, we propose to study and compare the performance of the proposed routing protocol with AODV for Mobile WiMAX environment. Overall, the proposed algorithm shows high throughput, reduced end to end delay, and increased packet delivery ratio. Extensive simulations are conducted under OPNET simulator to evaluate the effectiveness of the proposed approach in both dynamic and static environments.
机译:本文介绍了用于移动WiMAX的WiAntHocNet路由算法,该算法将蚁群优化(ACO)路由的思想与更传统的路由算法所采用的技术相结合。该算法具有混合架构,根据最短的路径蚂蚁行为将反应性和主动性机制结合在一起。在此,我们建议研究和比较针对移动WiMAX环境的拟议路由协议与AODV的性能。总的来说,所提出的算法显示出高吞吐量,减少的端到端延迟以及增加的分组传送率。在OPNET仿真器下进行了广泛的仿真,以评估该方法在动态和静态环境中的有效性。

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