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Distributed Drone Traffic Coordination Using Triggered Communication

机译:使用触发式通信的分布式无人机交通协调

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摘要

This paper proposes a low complexity distributed multi-agent coordination algorithm for agents to reach their target positions in dense traffic under limited communication. Each single-integrator agent is limited to communicating with only one other agent at a time in consideration of limited bandwidth. We adapt the Velocity Obstacle collision avoidance method from literature to the limited communication problem by incorporating Voronoi Cells and repulsion in our hybrid algorithm. We also introduce a priority system for distributed coordination to avoid deadlocks and livelocks by having agent pairs make mutual decisions based on each agent's conditional priority. An event trigger-based communication protocol is designed to determine when and to whom to communicate. Our method's effectiveness is demonstrated in simulations including 100 randomized scenarios of 50 agents. The simulations show that our proposed algorithm enables agents to reach their assigned target positions without deadlock and collision while requiring an average communication rate that is significantly lower than the control frequency.
机译:本文提出了一种低复杂度的分布式多智能体协调算法,用于智能体在有限通信条件下能够到达密集流量中的目标位置。考虑到有限的带宽,每个单一集成商代理都限于一次仅与一个其他代理进行通信。通过将Voronoi单元格和排斥力纳入我们的混合算法中,我们从文献中将速度障碍物避免碰撞的方法应用于有限的通信问题。我们还引入了一个优先级系统来进行分布式协调,以通过使业务代表对根据每个业务代表的条件优先权进行相互决策来避免死锁和活锁。基于事件触发器的通信协议旨在确定何时以及与谁进行通信。我们的方法的有效性在包括50个代理的100个随机场景的仿真中得到了证明。仿真表明,我们提出的算法使代理能够在没有死锁和冲突的情况下到达其分配的目标位置,同时要求平均通信速率大大低于控制频率。

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