[author_cn_name].[cn_title][J].空军工程大学学报:自然科学版,[year_id],[volume]([issue]):[start_page]-[end_page] 无人机自组网中改进型反应-贪婪-反应路由协议-An Improved Reactive Greedy Reactive Routing Protocol for Flying Ad Hoc Networks
文章摘要
梅家栋,南建国.无人机自组网中改进型反应-贪婪-反应路由协议[J].空军工程大学学报:自然科学版,2021,22(4):22-28
无人机自组网中改进型反应-贪婪-反应路由协议
An Improved Reactive Greedy Reactive Routing Protocol for Flying Ad Hoc Networks
  
DOI:
中文关键词: 无人机自组网  路由协议  贪婪地理转发  受限洪泛机制  负载预测
英文关键词: FANETs  routing protocol  greedy geographic forwarding  scoped flooding mechanism  load-prediction
基金项目:
作者单位
梅家栋,南建国 空军工程大学航空工程学院 西安 710038 
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中文摘要:
      无人机自组网具有网络拓扑变化剧烈,链路断开频繁等特点。反应 贪婪 反应(reactive-greedy-reactive,RGR)路由协议是针对无人机自组网而提出的改进型协议,在高动态环境下具有较好的网络性能。针对RGR协议具有网络开销大、易出现网络拥塞等问题,提出了一种基于负载均衡和高贪婪地理转发成功概率的改进RGR路由协议。该协议在RGR协议的基础上,〖JP2〗提出基于节点负载状态和地理位置信息辅助的受限洪泛机制、GGF模式下高分组成功传输概率的路径选择策略和基于节点负载预测和运动特征的分组转发策略3项关键改进措施。仿真结果表明,相较于AODV和RGR及其改进型协议,该协议提高了分组投递率,降低了网络的控制开销和平均端到端时延,提升了网络应对拓扑高度动态变化的能力,有效改善了网络性能。
英文摘要:
      Aimed at the problems that UAV is high mobility at nodes, flying ad hoc networks are drastic changes in network topology and frequent link disconnection. Reactive greedy reactive (RGR) routing protocol is proposed with a good network performance in high dynamic environment. In view of high network overhead and network congestion, an improved RGR routing protocol (LBHGS RGR) based on load balancing and high greedy geographical forwarding success probability is proposed. Based on the RGR protocol, three key improvement measures are proposed, which are scoped flooding mechanism based on node load status and geographic location information, path selection strategy with high packet success probability in GGF mode, and packet forwarding strategy based on node load prediction and motion characteristics. The simulation results show that compared with AODV, RGR and their improved protocols, this protocol improves packet delivery rate, reduces network control overhead and average end to end delay, improves the ability of network to cope with highly dynamic topology changes, and effectively improves network performance.
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