Neural networks for MANET AODV: an optimization approach

作者：Yang, Hua^*; Li, Zhimei; Liu, Zhiyong

来源：Cluster Computing, 2017, 20(4): 3369-3377.

DOI：10.1007/s10586-017-1086-y

• Neural networks
• MANET
• Routing protocol
• AODV

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.

• 出版日期2017-12
• 单位桂林航天工业学院