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Distributed task allocation and coordination scheme for a multi-UAV sensor network

机译:多UAV传感器网络的分布式任务分配与协调方案

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Unmanned Aerial Vehicle (UAV) networks require successful mission execution, which is dependent on task planning and control. In this paper, we propose a distributed task allocation algorithm for a multi-UAV sensor network for sensing thorium intensities in the coastal areas of India. A power-aware coordination and planning approach is used to coordinate the activities of multiple UAVs. Depending on the availability of resources in each sensing UAV unit, each UAV initiates a task-scheduling algorithm and distributes its remaining tasks dynamically to other UAVs. The control station sends control information to the UAVs and receives the sensed parameters along with the location information from each UAV. The task allocation algorithm was simulated successfully using a network of static motes. The network was more effective and efficient with the use of this task allocation algorithm, thus contributing to improved mission execution in UAV networks.
机译:无人驾驶飞行器(UAV)网络需要成功的任务执行,这取决于任务规划和控制。 在本文中,我们提出了一种用于多UAV传感器网络的分布式任务分配算法,用于检测印度沿海地区的钍强度。 动力感知的协调和规划方法用于协调多个无人机的活动。 根据每个传感UAV单元中的资源的可用性,每个UAV都会启动任务调度算法,并动态地将其剩余任务分发到其他无人机。 控制站将控制信息发送到无人机,并从每个UAV接收感测的参数以及来自每个UAV的位置信息。 使用静态电机网络成功模拟任务分配算法。 通过使用此任务分配算法,网络更有效和有效,从而有助于改善UAV网络中的任务执行。

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