Neural networks for MANET AODV: an optimization approach

被引：0
作者：
Hua Yang
Zhimei Li
Zhiyong Liu
机构：
[1] Guilin University of Aerospace Technology,Guangxi Colleges and Universities Key Laboratory of Robot & Welding
来源：
Cluster Computing | 2017年 / 20卷
关键词：
Neural networks; MANET; Routing protocol; AODV;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
To find a route with good stability and less cost is a hot issue because of MANET’s mobility. AODV is one of the most widely used routing protocols in MANET because of its wide application, good performance and expansion. However, AODV is only an optional route instead of an optimized one. In this paper, continuous Hopfield Neural Networks is used to optimize the route to seek an optimal or nearly-optimal route, which can improve the usability and survivability of MANET. The simulation results show that CHNN-AODV is more effective and advantageous than AODV in the measurement of packet receiving rate, end-to-end average delay and routing recovery frequency.
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页码：3369 / 3377
页数：8
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