Neural networks for MANET AODV: an optimization approach
作者: Hua YangZhimei LiZhiyong Liu
作者单位: 1Guilin University of Aerospace Technology
刊名: Cluster Computing, 2017, Vol.20 (4), pp.3369-3377
来源数据库: Springer Journal
DOI: 10.1007/s10586-017-1086-y
关键词: Neural networksMANETRouting protocolAODV
英文摘要: 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.
原始语种摘要: 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.
全文获取路径: Springer  (合作)
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来源刊物:
影响因子:0.776 (2012)

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关键词翻译
关键词翻译
  • optimization 最佳化
  • route 航线
  • routing 定线
  • mobility 活动性
  • optimize 优选
  • packet 
  • usability 合用性
  • optional 任选的
  • continuous 连续的
  • improve 改进