Название: Unmanned Aerial Vehicles Swarm for Protecting Smart Cities: Future Trends and Challenges
Автор: Oroos Arshi, Inam Ullah Khan, Keshav Kaushik, Nadeem Iqbal, Inam Ullah, Khadija Slimani
Издательство: Apress
Год: 2025
Страниц: 829
Язык: английский
Формат: pdf
Размер: 17.3 MB

Explore the intersection between unmanned aerial vehicles (UAVs) and the evolving landscape of smart cities. With the increasing integration of technology into urban environments, there is a growing need to understand how UAV swarms can contribute to the safety, efficiency, and resilience of these complex urban ecosystems. The book aims to provide a technical understanding of UAV swarms and their applications within the context of smart cities.

It begins by laying the groundwork with an introduction to UAV swarms and smart cities, establishing the foundational concepts and motivations behind their integration. As the book progresses, it delves into various aspects of smart cities, exploring concepts, technologies, and challenges inherent in their development and operation. This includes discussions on cloud computing, cybersecurity, Machine Learning applications, surveillance and monitoring systems, urban planning, and infrastructure management. It also examines the integration of IoT devices with UAV swarms, highlighting the synergies between these emerging technologies and their potential impact on urban environments.

The book examines cutting-edge topics such as edge computing, blockchain applications, 5G integration, and augmented reality/virtual reality (AR/VR) visualization techniques in the context of UAV swarm operations. It concludes with reflections on innovations and future directions, offering insights into the evolving landscape of UAV swarm technologies and their implications for the protection and advancement of smart cities.

The book serves as a comprehensive guide for researchers, practitioners, and policymakers interested in understanding the technical, social, and economic dimensions of UAV swarm technology within the context of smart city development and management.

UAVs have been used in many fields including product delivery, space exploration, military uses, search and rescue missions, agricultural uses, and as a communication tool. When it comes to last-mile deliveries, drones have proved to be a viable solution for delivering products quickly to remote or difficult areas. In space exploration, unmanned aerial vehicles carry cameras and sensors to capture images and capture information or map changes in planetary or lunar surfaces. In the military area, drones act as scouts, performing reconnaissance, surveillance, and even carrying out strikes, which makes them valuable in battles. In search and rescue, drones help in aerial search in disaster areas and aerial delivery of goods to trapped persons and assist in looking for missing persons. In agriculture, drones fitted with specific sensors and vision systems are applied in crop surveillance, precise farming, and the application of pesticides increasing output and efficiency in farming. Also, drones have been used to transport Internet in areas that lack this essential service in a bid to close the digital divide.

Swarm Intelligence is a subdivision of Artificial Intelligence (AI) that models the behavior of a group of individuals who exist in a system without obeying a central control authority, for example, bird flocks, shoal of fish, or bee colonies. Swarm techniques and optimization use machine learning in designing artificial algorithms in their quest to imitate the swarm systems to solve optimization difficulties. These algorithms are supposed to be scalable, flexible, and robust and known to solve efficiently those problems that may have a broad search space or multiple local optima. Swarm Intelligence optimization algorithms hold the characterized feature of adapting to an environment and learning form experience which is very important. This makes them appropriate for a broad list of applications in various fields such as image recognition, time-tabling, resource management, and controllers.

What You Will Learn:
Identify practical applications of UAV swarms in surveillance monitoring, urban planning, disaster management, and infrastructure resilience
Gain comprehensive understanding of UAV swarms by exploring diverse disciplines
Apply insights from emerging technologies like cloud computing, machine learning, blockchain, IoT devices, and so on to UAV swarm technology

Who Is This Book For:
This book appeals to a wide range of readers with different interests and backgrounds, including researchers, policymakers, industry stakeholders, practitioners, experts, and general fans who are curious in the confluence of smart cities with UAV swarm technologies with little to no experience or knowledge of UAV swarms.