袁学松.基于地理位置信息的无人机可靠路由算法[J].重庆工商大学学报(自然科学版),2021,38(1):50-56
YUAN Xue-song.Reliable Routing Algorithms for UAVs Based on Geographic Location Information[J].Journal of Chongqing Technology and Business University(Natural Science Edition),2021,38(1):50-56
基于地理位置信息的无人机可靠路由算法
Reliable Routing Algorithms for UAVs Based on Geographic Location Information
  
DOI:
中文关键词:  无人机  GPSR-HRU  MALM  传输可靠性  传输时延
英文关键词:UAV  GPSR-HRU  MALM  transmission reliability  transmission delay
基金项目:
作者单位
袁学松 安徽机电职业技术学院 信息工程系,安徽 芜湖 241001 
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中文摘要:
      针对无人机自组织网络,提出了一种基于地理位置信息的高可靠性路由算法GPSR-HRU(High Reliability UAV Routing Algorithms Based on GPSR);算法针对无人机运动速度快、运动不规律、易产生路由断路、空洞等特点,将MALM(Mobility-assisted Location Management)移动节点辅助位置管理策略引入到无线自组网的GPSR协议中来预测节点的移动位置;通过NS-3仿真无人机的工作场景实验证明,算法较GPSR算法和其他改进算法有更低的传输延时,更可靠的端到端的投递成功率,同时整个网络的负载也更轻。
英文摘要:
      For UAV self organizing network, this paper proposes a high reliability routing algorithm based on geographic location information, GPSR HRU (High Reliability UAV Routing Algorithms Based on GPSR).Aiming at the characteristics of UAV such as fast moving speed, irregular movement, easy route breaking and hollow, MALM (Mobility assisted Location Management)assisted location management strategy of mobile nodes is introduced into the GPSR protocol of wireless ad hoc networks to predict the mobile location of nodes.NS 3 simulation of UAV working scene shows that the algorithm has lower transmission delay, more reliable end to end delivery success rate and lighter load than GPSR algorithm and other improved algorithms.
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