With the wider use of UAV in various fields,the raising task complexity and the increasing environmental uncertainties,the higher requirements for UAV technology are put forward.The bionic UAV cluster system has the p...With the wider use of UAV in various fields,the raising task complexity and the increasing environmental uncertainties,the higher requirements for UAV technology are put forward.The bionic UAV cluster system has the potential advantages of good stealth performance,strong environmental adaptability,wide expansion of task and high operational efficiency.It has excellent prospects in future information warfare,electronic warfare and conventional combat field.By reviewing the development of bionic UAV cluster technology,this paper summarizes and analyzes the latest research progresses of the key technologies such as aerodynamic mechanism and aerodynamic configuration design,driving mechanism design,autonomous flight control,adaptive networking and cluster control of bionic aircrafts.展开更多
In recent years, the demand for Wireless Sensor Network (WSN) in smart farming has had a tremendous increase in demand for its efficiency. Wireless sensor networks have very many nodes, and it is of no use when the ba...In recent years, the demand for Wireless Sensor Network (WSN) in smart farming has had a tremendous increase in demand for its efficiency. Wireless sensor networks have very many nodes, and it is of no use when the battery dies. This is why there are several routing protocols being take into consideration to cub this problem. In this paper, in order to increase the heterogeneity and energy levels of the network, the M-LEACH protocol is proposed. The key aim of the Leach protocol is to prolong the existence of wireless sensor network by lowering the energy consumption needed for Cluster Head creation and maintenance, the proposed algorithm instructs a node to use high power amplification as it acts as the Cluster heads, and low power amplification when it becomes a Cluster Member, in the next stage. Finally, for better effectiveness, M-LEACH employs hard and soft threshold systems. Since it eliminates collisions and reduces the packet drop ratio for other signals, the M-LEACH protocol proposed works better than the Leach protocol.展开更多
Cooperative unmanned aerial vehicles(UAVs)cluster technology is considered a prospective solution for area coverage problems,enabling network access and emergency communications in remote areas.In this paper,we invest...Cooperative unmanned aerial vehicles(UAVs)cluster technology is considered a prospective solution for area coverage problems,enabling network access and emergency communications in remote areas.In this paper,we investigate how to control UAV cluster to achieve long-term and stable regional coverage while maintaining link connectivity and minimizing energy consumption,given the limited communication range and energy consumption of the UAVs themselves.To this end,we propose a cooperative UAV cluster strategy based on multi-agent deep reinforcement learning(MADRL)to achieve fair coverage of communication regions,which we call MADRL-based cooperative UAV cluster strategy(MADRL-CUCS).Our solution is a centralized training distributed execution architecture and defines a cluster structure for leader UAVs and follower UAVs.Under the premise of comprehensively considering the maximum coverage,we use a new energy efficiency function to minimize energy consumption,so as to extend the network lifetime of the UAVs cluster networks.The new fairness index and collision avoidance factor are used to ensure that the UAV cluster achieve effective and secure regional coverage.We adopt depth first search algorithm to check the link connectivity of the UAVs during the coverage process.Experiments show that the MADRL-CUCS algorithm outperforms the benchmark algorithm.展开更多
文摘With the wider use of UAV in various fields,the raising task complexity and the increasing environmental uncertainties,the higher requirements for UAV technology are put forward.The bionic UAV cluster system has the potential advantages of good stealth performance,strong environmental adaptability,wide expansion of task and high operational efficiency.It has excellent prospects in future information warfare,electronic warfare and conventional combat field.By reviewing the development of bionic UAV cluster technology,this paper summarizes and analyzes the latest research progresses of the key technologies such as aerodynamic mechanism and aerodynamic configuration design,driving mechanism design,autonomous flight control,adaptive networking and cluster control of bionic aircrafts.
文摘In recent years, the demand for Wireless Sensor Network (WSN) in smart farming has had a tremendous increase in demand for its efficiency. Wireless sensor networks have very many nodes, and it is of no use when the battery dies. This is why there are several routing protocols being take into consideration to cub this problem. In this paper, in order to increase the heterogeneity and energy levels of the network, the M-LEACH protocol is proposed. The key aim of the Leach protocol is to prolong the existence of wireless sensor network by lowering the energy consumption needed for Cluster Head creation and maintenance, the proposed algorithm instructs a node to use high power amplification as it acts as the Cluster heads, and low power amplification when it becomes a Cluster Member, in the next stage. Finally, for better effectiveness, M-LEACH employs hard and soft threshold systems. Since it eliminates collisions and reduces the packet drop ratio for other signals, the M-LEACH protocol proposed works better than the Leach protocol.
文摘针对无人机(Unmanned Aerial Vehicles,UAV)集群网络通信中存在的智能组网协议和高效通信技术问题,文中采用了一种可行的基于分层网络架构的信息交互与协同组网方法。文中从网络编码层、网络层、链路层、物理层和无线通信硬件设计等方面对系统总体设计方案进行了详细描述,提出了基于分层网络架构的网络编码通信方法。使用地面站参与初始分簇、空中节点自组织维护的方式得到面对集群节点移动表现相对稳定的分簇网络。设计基于网络编码的增强型TCP(Transmission Control Protocol)协议,能够实现无人机网络数据链中信息的高吞吐量快速传输。仿真实验结果表明,网络编码TCP方法性能优于传统TCP方法,适用于误码率较大的无人机集群通信环境,其可利用网络编码的优势实现节点之间、节点和地面站之间数据的高效快速传输。
基金supported by the National Natural Science Foundation of China(No.62376165).
文摘Cooperative unmanned aerial vehicles(UAVs)cluster technology is considered a prospective solution for area coverage problems,enabling network access and emergency communications in remote areas.In this paper,we investigate how to control UAV cluster to achieve long-term and stable regional coverage while maintaining link connectivity and minimizing energy consumption,given the limited communication range and energy consumption of the UAVs themselves.To this end,we propose a cooperative UAV cluster strategy based on multi-agent deep reinforcement learning(MADRL)to achieve fair coverage of communication regions,which we call MADRL-based cooperative UAV cluster strategy(MADRL-CUCS).Our solution is a centralized training distributed execution architecture and defines a cluster structure for leader UAVs and follower UAVs.Under the premise of comprehensively considering the maximum coverage,we use a new energy efficiency function to minimize energy consumption,so as to extend the network lifetime of the UAVs cluster networks.The new fairness index and collision avoidance factor are used to ensure that the UAV cluster achieve effective and secure regional coverage.We adopt depth first search algorithm to check the link connectivity of the UAVs during the coverage process.Experiments show that the MADRL-CUCS algorithm outperforms the benchmark algorithm.
