基于神经网络的自组网路由优化技术

Hua Yang, Zhimei Li
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引用次数: 5

摘要

DSR是MANET中最重要的路由协议之一。由于MANET的移动性,DSR路由只有一条可用的路由,而不是最优的情况,本文采用连续Hopfield神经网络对路由进行优化,找到最优或接近最优的路由,从而提高了MANET的可用性和生存性。仿真结果表明,CHNN-DSR在吞吐量、端到端平均时延和控制开销的测量方面比DSR更重要,具有明显的优势。
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A routing optimization technology based on neural networks in MANET
DSR is one of the most important routing protocols in MANET. Because of the mobility of MANET, DSR routing is only one available route rather than an optimal situation, in this paper, Continuous Hopfield Neural Network is used to optimize the route to find an optimal or nearly-optimal route, which can improve the usability and survivability of MANET. The simulation results show that CHNN-DSR is more important than DSR in the measurement of throughput, end-to-end average delay and control overhead, have a clear advantage.
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