UAV solutions based on wireless communications

C. Calafate
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Abstract

In this talk an introduction to unmanned aerial vehicles will be made, detailing their operation, main uses, and main research challenges. Next, different applications and systems developed in our research group will be discussed, showing how wireless communications can be used to achieve advanced features such as swarm creation and collision avoidance.Regarding collision avoidance, the Mission Based Collision Avoidance Protocol (MBCAP) is presented. MBCAP is a novel UAV collision avoidance protocol applicable to all types of multicopters flying autonomously. It relies on wireless communications in order to detect nearby UAVs, and to negotiate the procedure to avoid any potential collision. Experiments show that MBCAP is very effective at impeding collisions, while introducing a flight time overhead that is typically in the range from 15 to 40 seconds.Concerning swarm creation, the Mission-based UAV Swarm Coordination Protocol (MUSCOP) is presented. It allows multiple UAVs to perfectly coordinate their flight when performing planned missions. Experimental results show that the proposed protocol is able to achieve a high degree of swarm cohesion independently of the swarm formation adopted, being resilient to channel losses, and introducing a low synchronization time overhead.
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基于无线通信的无人机解决方案
本讲座将介绍无人驾驶飞行器,详细介绍其操作、主要用途和主要研究挑战。接下来,我们将讨论研究小组开发的不同应用程序和系统,展示如何使用无线通信来实现诸如群体创建和避免碰撞等高级功能。在避碰方面,提出了基于任务的避碰协议(MBCAP)。MBCAP是一种新型的无人机避碰协议,适用于各种类型的多旋翼无人机自主飞行。它依靠无线通信来探测附近的无人机,并协商程序以避免任何潜在的碰撞。实验表明,MBCAP在防止碰撞方面非常有效,同时引入的飞行时间通常在15到40秒之间。针对蜂群创建问题,提出了基于任务的无人机蜂群协调协议(MUSCOP)。它允许多架无人机在执行计划任务时完美协调飞行。实验结果表明,所提出的协议能够独立于所采用的群体形成实现高度的群体内聚,对信道损失具有弹性,并且引入了较低的同步时间开销。
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