Unmanned aerial vehicles(UAVs)have become one of the key technologies to achieve future data collection due to their high mobility,rapid deployment,low cost,and the ability to establish line-of-sight communication lin...Unmanned aerial vehicles(UAVs)have become one of the key technologies to achieve future data collection due to their high mobility,rapid deployment,low cost,and the ability to establish line-of-sight communication links.However,when UAV swarm perform tasks in narrow spaces,they often encounter various spatial obstacles,building shielding materials,and high-speed node movements,which result in intermittent network communication links and cannot support the smooth comple-tion of tasks.In this paper,a high mobility and dynamic topol-ogy of the UAV swarm is particularly considered and the high dynamic mobile topology-based clustering(HDMTC)algorithm is proposed.Simulation and real flight verification results verify that the proposed HDMTC algorithm achieves higher stability of net-work,longer link expiration time(LET),and longer node lifetime,all of which improve the communication performance for UAV swarm networks.展开更多
Aiming at the challenges of low throughput,excessive consensus latency and high communication complexity in the Practical Byzantine Fault Tolerance(PBFT)algorithm in blockchain networks,its application in identity ver...Aiming at the challenges of low throughput,excessive consensus latency and high communication complexity in the Practical Byzantine Fault Tolerance(PBFT)algorithm in blockchain networks,its application in identity verification for distributed networking of a drone cluster is limited.Therefore,a lightweight blockchainbased identity authentication model for UAV swarms is designed,and a Credit-score and Grouping-mechanism Practical Byzantine Fault Tolerance(CG-PBFT)algorithm is proposed.CG-PBFT introduces a reputation score evaluation mechanism,classifies the reputation levels of nodes in the network,and optimizes the consensus process based on grouping consensus and BLS aggregate signature technology.Experimental results demonstrate that under identical experimental conditions,compared with the PBFT algorithm,CG-PBFT achieves a 250%increase in average throughput,a 70%reduction in average latency,and simultaneous enhancement in security,thus making it more suitable for UAV swarm networks.展开更多
针对6G时代空天地一体化网络架构中空基网络无人集群对时延敏感型业务提出的确定性传输需求,提出一种基于跨层优化的确定性无人集群网络协议——LPCO(link-scheduling and path-planning based on cross-layer optimization)。该协议在...针对6G时代空天地一体化网络架构中空基网络无人集群对时延敏感型业务提出的确定性传输需求,提出一种基于跨层优化的确定性无人集群网络协议——LPCO(link-scheduling and path-planning based on cross-layer optimization)。该协议在中心节点控制的集中式架构下,融合链路状态感知、业务需求感知、显式路径规划和周期时隙调度等关键模块,实现了网络层路径选择与MAC层时隙分配的联合调度,构建了端到端的跨层协同优化机制。具体方法包括:在中心控制节点完成对全网拓扑感知后,通过基于链路过期时间(link expiration time, LET)进行链路预测,利用QoS加权目标函数实现路径规划,结合TDMA对路径节点动态分配时隙,确保关键业务在无人集群网络下的低延迟传输和高可靠性。通过在NS3仿真平台中与典型路由协议OLSR和DSDV对比验证,仿真实验结果表明:LPCO相较OLSR与DSDV协议,时敏业务的平均端到端时延分别降低了43.6%、40.7%;时敏业务的分组投递率提升了69.3%、73.5%;瞬时时延抖动控制在3 ms以内,部分数据包抖动接近0,在无人集群网络中展现出确定性服务保障能力与鲁棒性。展开更多
基金supported by the National Key Research and Development Program of China(2024YFB4504500)Shanghai Collaborative Innovation Project(24xtcx00500).
文摘Unmanned aerial vehicles(UAVs)have become one of the key technologies to achieve future data collection due to their high mobility,rapid deployment,low cost,and the ability to establish line-of-sight communication links.However,when UAV swarm perform tasks in narrow spaces,they often encounter various spatial obstacles,building shielding materials,and high-speed node movements,which result in intermittent network communication links and cannot support the smooth comple-tion of tasks.In this paper,a high mobility and dynamic topol-ogy of the UAV swarm is particularly considered and the high dynamic mobile topology-based clustering(HDMTC)algorithm is proposed.Simulation and real flight verification results verify that the proposed HDMTC algorithm achieves higher stability of net-work,longer link expiration time(LET),and longer node lifetime,all of which improve the communication performance for UAV swarm networks.
基金supported by the following projects:Fund for technical areas of infrastructure strengthening plan projects under Grant 2023-JCJQ-JJ-0772.
文摘Aiming at the challenges of low throughput,excessive consensus latency and high communication complexity in the Practical Byzantine Fault Tolerance(PBFT)algorithm in blockchain networks,its application in identity verification for distributed networking of a drone cluster is limited.Therefore,a lightweight blockchainbased identity authentication model for UAV swarms is designed,and a Credit-score and Grouping-mechanism Practical Byzantine Fault Tolerance(CG-PBFT)algorithm is proposed.CG-PBFT introduces a reputation score evaluation mechanism,classifies the reputation levels of nodes in the network,and optimizes the consensus process based on grouping consensus and BLS aggregate signature technology.Experimental results demonstrate that under identical experimental conditions,compared with the PBFT algorithm,CG-PBFT achieves a 250%increase in average throughput,a 70%reduction in average latency,and simultaneous enhancement in security,thus making it more suitable for UAV swarm networks.
文摘针对6G时代空天地一体化网络架构中空基网络无人集群对时延敏感型业务提出的确定性传输需求,提出一种基于跨层优化的确定性无人集群网络协议——LPCO(link-scheduling and path-planning based on cross-layer optimization)。该协议在中心节点控制的集中式架构下,融合链路状态感知、业务需求感知、显式路径规划和周期时隙调度等关键模块,实现了网络层路径选择与MAC层时隙分配的联合调度,构建了端到端的跨层协同优化机制。具体方法包括:在中心控制节点完成对全网拓扑感知后,通过基于链路过期时间(link expiration time, LET)进行链路预测,利用QoS加权目标函数实现路径规划,结合TDMA对路径节点动态分配时隙,确保关键业务在无人集群网络下的低延迟传输和高可靠性。通过在NS3仿真平台中与典型路由协议OLSR和DSDV对比验证,仿真实验结果表明:LPCO相较OLSR与DSDV协议,时敏业务的平均端到端时延分别降低了43.6%、40.7%;时敏业务的分组投递率提升了69.3%、73.5%;瞬时时延抖动控制在3 ms以内,部分数据包抖动接近0,在无人集群网络中展现出确定性服务保障能力与鲁棒性。
