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Multi-UAV Networks

Multi-UAV Networks
Author: Zhihong Liu
Publisher: Mdpi AG
Total Pages: 0
Release: 2024-01-17
Genre: Technology & Engineering
ISBN: 9783039286058
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Nowadays, multi-UAV systems reveal great potential value in applications such as surveillance, disaster rescue, mapping, cargo delivery, etc. Through coordination among multiple or even a swarm of UAVs, multi-UAV systems can improve mission capability, survivability, and flexibility. Regarding the key technologies, multi-UAV networks are the essential building blocks in multi-UAV systems, which provide the foundation for information transmission and further enable team behavior. This reprint presents a collection of cutting-edge research in the field of UAVs, showcasing advancements and innovations in the related areas. The featured papers cover topics such as object detection, cooperative exploration, authentication schemes, machine learning methods, connectivity maintenance, UAV deployment, intelligent mining, task assignment, and multi-UAV swarm control. They explore different aspects of UAV technology, highlighting novel approaches and algorithms that enhance the efficiency, security, and performance of UAV systems. From real-time object detection to decentralized exploration strategies and secure communication protocols, this reprint offers valuable insights into the potential of UAVs and their applications in diverse domains. It serves as a valuable resource for researchers, engineers, and practitioners seeking to stay at the forefront of UAV technology and leverage its capabilities to drive innovation in their respective fields.

Wireless Communications and Networking for Unmanned Aerial Vehicles

Wireless Communications and Networking for Unmanned Aerial Vehicles
Author: Walid Saad
Publisher: Cambridge University Press
Total Pages: 295
Release: 2020-04-02
Genre: Computers
ISBN: 1108480748
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"The past few years witnessed a major revolution in the area of unmanned aerial vehicles (UAVs), commonly known as drones, due to significant technological advances across various drone-related fields ranging from embedded systems to autonomy, control, security, and communications. These unprecedented recent advances in UAV technology have made it possible to widely deploy drones across a plethora of application domains ranging from delivery of goods to surveillance, environmental monitoring, track control, remote sensing, and search and rescue. In fact, recent reports from the Federal Aviation Administration (FAA) anticipate that sales of UAVs may exceed 7 million in 2020 and many industries are currently investing in innovative drone-centric applications and research. To enable all such applications, it is imperative to address a plethora of research challenges pertaining to drone systems, ranging from navigation to autonomy, control, sensing, navigation, and communications. In particular, the deployment of UAVs in tomorrow's smart cities, is largely contingent upon equipping them with effective means for communications and networking. To this end, in this book, we provide a comprehensive treatment of the wireless communications and networking research challenges and opportunities associated with UAV technology. This treatment begins in this chapter which provides an introduction to UAV technology and an in-depth discussion on the wireless communication and networking challenges associated with the introduction of UAVs"--

Applications of Machine Learning in UAV Networks

Applications of Machine Learning in UAV Networks
Author: Hassan, Jahan
Publisher: IGI Global
Total Pages: 425
Release: 2024-01-17
Genre: Computers
ISBN:
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Applications of Machine Learning in UAV Networks presents a pioneering exploration into the symbiotic relationship between machine learning techniques and UAVs. In an age where UAVs are revolutionizing sectors as diverse as agriculture, environmental preservation, security, and disaster response, this meticulously crafted volume offers an analysis of the manifold ways machine learning drives advancements in UAV network efficiency and efficacy. This book navigates through an expansive array of domains, each demarcating a pivotal application of machine learning in UAV networks. From the precision realm of agriculture and its dynamic role in yield prediction to the ecological sensitivity of biodiversity monitoring and habitat restoration, the contours of each domain are vividly etched. These explorations are not limited to the terrestrial sphere; rather, they extend to the pivotal aerial missions of wildlife conservation, forest fire monitoring, and security enhancement, where UAVs adorned with machine learning algorithms wield an instrumental role. Scholars and practitioners from fields as diverse as machine learning, UAV technology, robotics, and IoT networks will find themselves immersed in a confluence of interdisciplinary expertise. The book's pages cater equally to professionals entrenched in agriculture, environmental studies, disaster management, and beyond.

Cloud and IoT-Based Vehicular Ad Hoc Networks

Cloud and IoT-Based Vehicular Ad Hoc Networks
Author: Gurinder Singh
Publisher: John Wiley & Sons
Total Pages: 434
Release: 2021-06-05
Genre: Technology & Engineering
ISBN: 1119761824
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CLOUD AND IOT-BASED VEHICULAR AD HOC NETWORKS This book details the architecture behind smart cars being fitted and connected with vehicular cloud computing, IoT and VANET as part of the intelligent transport system (ITS). As technology continues to weave itself more tightly into everyday life, socioeconomic development has become intricately tied to ever-evolving innovations. An example of this is the technology being developed to address the massive increase in the number of vehicles on the road, which has resulted in more traffic congestion and road accidents. This challenge is being addressed by developing new technologies to optimize traffic management operations. This book describes the state-of-the-art of the recent developments of Internet of Things (IoT) and cloud computing-based concepts that have been introduced to improve Vehicular Ad-Hoc Networks (VANET) with advanced cellular networks such as 5G networks and vehicular cloud concepts. 5G cellular networks provide consistent, faster and more reliable connections within the vehicular mobile nodes. By 2030, 5G networks will deliver the virtual reality content in VANET which will support vehicle navigation with real time communications capabilities, improving road safety and enhanced passenger comfort. In particular, the reader will learn: A range of new concepts in VANETs, integration with cloud computing and IoT, emerging wireless networking and computing models New VANET architecture, technology gap, business opportunities, future applications, worldwide applicability, challenges and drawbacks Details of the significance of 5G Networks in VANET, vehicular cloud computing, edge (fog) computing based on VANET. Audience The book will be widely used by researchers, automotive industry engineers, technology developers, system architects, IT specialists, policymakers and students.

Managing Resources for Futuristic Wireless Networks

Managing Resources for Futuristic Wireless Networks
Author: Mamata Rath
Publisher: Information Science Reference
Total Pages: 0
Release: 2020
Genre: Computers
ISBN: 9781522594963
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"This book examines the issues, algorithms, and solutions for achieving best resource utilization in vehicular ad hoc networks"--

UAV Swarm Networks: Models, Protocols, and Systems

UAV Swarm Networks: Models, Protocols, and Systems
Author: Fei Hu
Publisher: CRC Press
Total Pages: 317
Release: 2020-12-28
Genre: Computers
ISBN: 1000063097
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UAV swarm network has been used in many critical applications, such as disaster recovery, area surveillance, weather monitoring, and military communications. There are many challenging R&D issues in UAV network designs, such as the hardware/software integration for a large-scale UAV network management, long-distance data transmissions among UAVs, swarm shape/formation control, and intelligent UAV mobility/position prediction. This book will be the first one to cover the engineering designs (especially network protocol designs) for dynamic, large-scale UAV network. It has the technical models/algorithms and protocol specifications for practical UAV swarm network deployment. Features: Includes chapters written by professors, researchers, engineers, and experts in UAV networking fields Details network protocol descriptions for practical engineering designs Covers 7-layer protocols (particularly data routing layer) Presents novel AI models/algorithms for intelligent UAV swarming/networking control Highlights practical hardware/software implementations for advanced UAV networks This book is suitable to a variety of audiences: (1) industry UAV R&D engineers, administrators, or technicians, who would like to grasp the latest trends in UAV communications; (2) college graduate students or researchers, who may want to pursue some advanced research on large-scale UAV swarming and networking technologies; (3) government agencies that determine the future society development in this exciting field; and (4) other interested readers with a strong desire to understand the challenges of designing a QoS-oriented UAV network. The book editors are: Dr. Fei Hu, Professor in Electrical and Computer Engineering at University of Alabama, Tuscaloosa, Alabama, USA; Dr. Xin-Lin Huang, Professor in Information and Communication Engineering, Tongji University, Shanghai, China; and Dr. DongXiu Ou, Professor in Transportation Information Institute at Tongji University, Shanghai, China.

Deep Reinforcement Learning Based Energy-Efficient Multi-UAV Data Collection for IoT Networks

Deep Reinforcement Learning Based Energy-Efficient Multi-UAV Data Collection for IoT Networks
Author: Seyed Saeed Khodaparast
Publisher:
Total Pages: 0
Release: 2021
Genre:
ISBN:
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Unmanned aerial vehicles (UAVs) are regarded as an emerging technology, which can be effectively utilized to perform the data collection tasks in the Internet of Things (IoT) networks. However, both the UAVs and the sensors in these networks are energy-limited devices, which necessitates an energy-efficient data collection procedure to ensure the network lifetime. In this thesis, we propose a multi-UAV-assisted network, where the UAVs fly to the ground sensors and control the sensor's transmit power during the data collection time. Our goal is to minimize the total energy consumption of the UAVs and the sensors, which is needed to accomplish the data collection mission. We formulate this problem into three sub-problems of single UAV navigation, sensor power control, and multi-UAV scheduling, and model each part as a finite-horizon Markov Decision Process (MDP). We deploy deep reinforcement learning (DRL)-based frameworks to solve each part. Specifically, we use the deep deterministic policy gradient (DDPG) method to generate the best trajectory for the UAVs in an obstacle-constrained environment, given its starting position and the target sensor. We also deploy DDPG to control the sensor's transmit power during data collection. To schedule activity plans for each UAV to visit the sensors, we propose a multi-agent deep Q-learning (DQL) approach by taking the energy consumption of the UAVs on each path into account. Our simulations show that the UAVs can find a safe and optimal path for each of their trips. Continuous power control of the sensors achieves better performance than the fixed power and fixed rate approaches in terms of the sensor's energy consumption and the data collection completion time. In addition, compared to the two commonly used baselines, our scheduling framework achieves better and near-optimal results in the simulated scenario.

UAV Communications for 5G and Beyond

UAV Communications for 5G and Beyond
Author: Yong Zeng
Publisher: John Wiley & Sons
Total Pages: 464
Release: 2020-12-14
Genre: Technology & Engineering
ISBN: 1119575699
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Explore foundational and advanced issues in UAV cellular communications with this cutting-edge and timely new resource UAV Communications for 5G and Beyond delivers a comprehensive overview of the potential applications, networking architectures, research findings, enabling technologies, experimental measurement results, and industry standardizations for UAV communications in cellular systems. The book covers both existing LTE infrastructure, as well as future 5G-and-beyond systems. UAV Communications covers a range of topics that will be of interest to students and professionals alike. Issues of UAV detection and identification are discussed, as is the positioning of autonomous aerial vehicles. More fundamental subjects, like the necessary tradeoffs involved in UAV communication are examined in detail. The distinguished editors offer readers an opportunity to improve their ability to plan and design for the near-future, explosive growth in the number of UAVs, as well as the correspondingly demanding systems that come with them. Readers will learn about a wide variety of timely and practical UAV topics, like: Performance measurement for aerial vehicles over cellular networks, particularly with respect to existing LTE performance Inter-cell interference coordination with drones Massive multiple-input and multiple-output (MIMO) for Cellular UAV communications, including beamforming, null-steering, and the performance of forward-link C&C channels 3GPP standardization for cellular-supported UAVs, including UAV traffic requirements, channel modeling, and interference challenges Trajectory optimization for UAV communications Perfect for professional engineers and researchers working in the field of unmanned aerial vehicles, UAV Communications for 5G and Beyond also belongs on the bookshelves of students in masters and PhD programs studying the integration of UAVs into cellular communication systems.

UAV Networks and Communications

UAV Networks and Communications
Author: Jae H. Kim
Publisher: Cambridge University Press
Total Pages: 259
Release: 2018
Genre: Technology & Engineering
ISBN: 1107115302
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The first book to focus on communications and networking in UAVs, covering theory, applications, regulation, policy, and implementation.

Multiple Heterogeneous Unmanned Aerial Vehicles

Multiple Heterogeneous Unmanned Aerial Vehicles
Author: Aníbal Ollero
Publisher: Springer
Total Pages: 246
Release: 2007-10-25
Genre: Technology & Engineering
ISBN: 3540739580
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Complete with online files and updates, this cutting-edge text looks at the next generation of unmanned flying machines. Aerial robots can be considered as an evolution of the Unmanned Aerial Vehicles (UAVs). This book provides a complete overview of all the issues related to aerial robotics, addressing problems ranging from flight control to terrain perception and mission planning and execution. The major challenges and potentials of heterogeneous UAVs are comprehensively explored.