Название: Autonomous Navigation and Deployment of UAVs for Communication, Surveillance and Delivery
Автор: Hailong Huang, Andrey V. Savkin
Издательство: Wiley-IEEE Press
Год: 2023
Страниц: 275
Язык: английский
Формат: pdf (true)
Размер: 10.3 MB

Autonomous Navigation and Deployment of UAVs for Communication, Surveillance and Delivery Authoritative resource offering coverage of communication, surveillance, and delivery problems for teams of unmanned aerial vehicles (UAVs). Autonomous Navigation and Deployment of UAVs for Communication, Surveillance and Delivery studies various elements of deployment of networks of unmanned aerial vehicle (UAV) base stations for providing communication to ground users in disaster areas, covering problems like ground traffic monitoring, surveillance of environmental disaster areas (e.g. brush fires), using UAVs in rescue missions, converting UAV video surveillance, and more. The work combines practical problems, implementable and computationally efficient algorithms to solve these problems, and mathematically rigorous proofs of each algorithm’s convergence and performance.

One such example provided by the authors is a novel biologically inspired motion camouflage algorithm to covert video surveillance of moving targets by an unmanned aerial vehicle (UAV). All autonomous navigation and deployment algorithms developed in the book are computationally efficient, easily implementable in engineering practice, and based only on limited information on other UAVs of each and the environment.

Thanks to the inherent attributes such as mobility and flexibility, unmanned aerial vehicles (UAVs), also known as aerial drones, have started to reshape our modern life. Once national legislations make laws to allow UAVs to fly autonomously, swarms of UAV will populate the sky of our cities to conduct various missions: rescue operations, surveillance, and monitoring, and also some emerging applications such as goods delivery and telecommunications. UAVs can service humans. A typical example is that UAVs play the role of aerial base stations to provide communication service to cellular users, especially in some congested urban areas. This is a promising solution to 5G and beyond-5G networks. It is also very useful in disaster areas where the communication infrastructures are down. Furthermore, UAVs can provide service to wireless sensor networks (WSNs). Working as the aerial sinks, the UAVs can collect sensory data from distributed sensor nodes.

In order to fully reap the benefits of UAVs in the aforementioned real-life applications, some core technical challenges, including the 3D placement of multiple UAVs, the trajectory/movement design, the energy efficiency optimization. These deployment and autonomous navigation of UAVs play an extremely important role for the usage of UAVs. A typical scenario is that a team of collaborating UAVs is conducting a mission for which it is needed to determine some optimal operation status including physical positions and other application-dependent attributes such as transmission powers when UAVs serve as aerial base stations.

Sample topics discussed in the work include:

Deployment of UAV base stations for communication, especially with regards to maximizing coverage and minimizing interference
Deployment of UAVs for surveillance of ground areas and targets, including surveillance of both flat and uneven areas
Navigation of UAVs for surveillance of moving areas and targets, including disaster areas and ground traffic monitoring
Autonomous UAV navigation for covert video surveillance, offering extensive coverage of optimization-based navigation
Integration of UAVs and public transportation vehicles for parcel delivery, covering both one-way and round trips

Professionals in navigation and deployment of unmanned aerial vehicles, along with researchers, engineers, scientists in intersecting fields, can use Autonomous Navigation and Deployment of UAVs for Communication, Surveillance and Delivery to gain general knowledge on the subject along with practical, precise, and proven algorithms that can be deployed in a myriad of practical situations.




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