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The Routing Control in Mobile Ad hoc Network Using Intelligent Optimization Algorithms

机译:智能优化算法的移动自组网路由控制

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MANET (Mobile Ad hoc Network) made up of a combination of nodes that are randomly moving with a certain speed in any direction without relying on the communication infrastructure. It is useful for creating a low-cost network and communication during a disaster and to avoid the failure of communication. It is necessary to improve many of the criteria metrics that affect performance. In the traditional the protocol of routing AODV (Ad hoc On-Demand Distance Vector), the data packets are sent toward the adjacent node only by the shortest path method and cannot meet the multi-objective approach. This article utilized the FOA (Fruit fly Optimized Algorithm) to control the problem and find a suitable routing instead of the shortest method. The results found is compared with the particle swarm optimization (PSO) approach and traditional AODV routing protocol, the proposed (FOA) method offers the fastest and most accurate pathway. The numerical simulations indicate that the suggested approach achieved better performances in the case of delay time and improve the efficiency of the system.
机译:MANET(移动自组织网络)由节点的组合组成,这些节点在不依赖于通信基础结构的情况下,可以任意方向以一定速度随机移动。这对于在灾难期间创建低成本网络和通信以及避免通信失败很有用。有必要改善许多影响性能的标准指标。在传统的路由AODV(按需点播距离矢量)协议中,仅通过最短路径方法将数据包发送到相邻节点,而不能满足多目标方法。本文利用FOA(果蝇优化算法)来控制问题并找到合适的路由,而不是最短的方法。将发现的结果与粒子群优化(PSO)方法和传统的AODV路由协议进行比较,所提出的(FOA)方法提供了最快,最准确的途径。数值仿真表明,在延迟时间的情况下,所提出的方法具有更好的性能,并提高了系统的效率。

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