Task Allocation Method for Multi-UAV Teams with Limited Communication Bandwidth

Xiaowei Fu, Jing Pan, Xiao-guang Gao, Bin Li, Jun Chen, Kun Zhang
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引用次数: 7

Abstract

Multiple unmanned aerial vehicle (UAV) team often needs to perform some certain tasks cooperatively. In the process of UAVs performing these tasks, the bandwidth of the communication network will affect the task assignment results, then the problem of task allocation for multi-UAV teams under the condition of limited communication bandwidth is considered. For a target, UAVs need to perform reconnaissance, attack and assessment tasks in coordination. The Consensus-Based Bundle Algorithm(CBBA) requires each task is assigned to no more than one UAV, so this paper extends CBBA by duplicating cooperative tasks to modify the task list and adding a judgment mechanism to ensure the uniqueness of the duplicate tasks' allocation in order to achieve the purpose of allocating multiple UAVs to the same task. At the same time, this paper utilizes a bid warping link to improve the algorithm performance and applies CBBA in asynchronous environment to reduce communication burden. Simulation results show that this improved algorithm is feasible and more efficient to improve the task allocation result for multi-UAVs teams with fewer messages transmission and a larger global reward.
有限通信带宽下多无人机小组任务分配方法
多架无人机(UAV)团队经常需要协同完成某些任务。在无人机执行这些任务的过程中,通信网络的带宽会影响任务分配结果,然后考虑在有限通信带宽条件下多无人机团队的任务分配问题。对于一个目标,无人机需要协同执行侦察、攻击和评估任务。基于共识的捆绑算法(Consensus-Based Bundle Algorithm, CBBA)要求每个任务分配不超过一架无人机,因此本文对CBBA进行了扩展,通过复制协作任务来修改任务列表,并增加判断机制来保证重复任务分配的唯一性,从而达到将多架无人机分配给同一任务的目的。同时,本文利用出价扭曲链路提高算法性能,并将CBBA应用于异步环境以减轻通信负担。仿真结果表明,该改进算法在消息传输少、全局奖励大的情况下,能够更有效地改善多无人机团队的任务分配结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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