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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.


Over 40 Publications / Studies Combined: UAS / UAV / Drone Swarm Technology Research

Over 40 Publications / Studies Combined: UAS / UAV / Drone Swarm Technology Research
Author:
Publisher: Jeffrey Frank Jones
Total Pages: 3840
Release:
Genre:
ISBN:

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Over 3,800 total pages ... Just a sample of the studies / publications included: Drone Swarms Terrorist and Insurgent Unmanned Aerial Vehicles: Use, Potentials, and Military Implications Countering A2/AD with Swarming Stunning Swarms: An Airpower Alternative to Collateral Damage Ideal Directed-Energy System To Defeat Small Unmanned Aircraft System Swarms Break the Kill Chain, not the Budget: How to Avoid U.S. Strategic Retrenchment Gyges Effect: An Ethical Critique of Lethal Remotely Piloted Aircraft Human Robotic Swarm Interaction Using an Artificial Physics Approach Swarming UAS II Swarming Unmanned Aircraft Systems Communication Free Robot Swarming UAV Swarm Attack: Protection System Alternatives for Destroyers Confidential and Authenticated Communications in a Large Fixed-Wing UAV Swarm UAV Swarm Behavior Modeling for Early Exposure of Failure Modes Optimized Landing of Autonomous Unmanned Aerial Vehicle Swarms Mini, Micro, and Swarming Unmanned Aerial Vehicles: A Baseline Study UAV Swarm Operational Risk Assessment System SmartSwarms: Distributed UAVs that Think Command and Control Autonomous UxV's UAV Swarm Tactics: An Agent-Based Simulation and Markov Process Analysis A Novel Communications Protocol Using Geographic Routing for Swarming UAVs Performing a Search Mission Accelerating the Kill Chain via Future Unmanned Aircraft Evolution of Control Programs for a Swarm of Autonomous Unmanned Aerial Vehicles AFIT UAV Swarm Mission Planning and Simulation System A Genetic Algorithm for UAV Routing Integrated with a Parallel Swarm Simulation Applying Cooperative Localization to Swarm UAVS Using an Extended Kalman Filter A Secure Group Communication Architecture for a Swarm of Autonomous Unmanned Aerial Vehicles Braving the Swarm: Lowering Anticipated Group Bias in Integrated Fire/Police Units Facing Paramilitary Terrorism Distributed Beamforming in a Swarm UAV Network Integrating UAS Flocking Operations with Formation Drag Reduction Tracking with a Cooperatively Controlled Swarm of GMTI Equipped UAVS Using Agent-Based Modeling to Evaluate UAS Behaviors in a Target-Rich Environment Experimental Analysis of Integration of Tactical Unmanned Aerial Vehicles and Naval Special Warfare Operations Forces Target Acquisition Involving Multiple Unmanned Air Vehicles: Interfaces for Small Unmanned Air Systems (ISUS) Program Tools for the Conceptual Design and Engineering Analysis of Micro Air Vehicles Architectural Considerations for Single Operator Management of Multiple Unmanned Aerial Vehicles


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.


Flying Ad Hoc Networks

Flying Ad Hoc Networks
Author: Jingjing Wang
Publisher: Springer Nature
Total Pages: 297
Release: 2022-02-10
Genre: Technology & Engineering
ISBN: 9811688508

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Relying on unmanned autonomous flight control programs, unmanned aerial vehicles (UAVs) equipped with radio communication devices have been actively developed around the world. Given their low cost, flexible maneuvering and unmanned operation, UAVs have been widely used in both civilian operations and military missions, including environmental monitoring, emergency communications, express distribution, even military surveillance and attacks, for example. Given that a range of standards and protocols used in terrestrial wireless networks are not applicable to UAV networks, and that some practical constraints such as battery power and no-fly zone hinder the maneuverability capability of a single UAV, we need to explore advanced communication and networking theories and methods for the sake of supporting future ultra-reliable and low-latency applications. Typically, the full potential of UAV network’s functionalities can be tapped with the aid of the cooperation of multiple drones relying on their ad hoc networking, in-network communications and coordinated control. Furthermore, some swarm intelligence models and algorithms conceived for dynamic negotiation, path programming, formation flight and task assignment of multiple cooperative drones are also beneficial in terms of extending UAV’s functionalities and coverage, as well as of increasing their efficiency. We call the networking and cooperation of multiple drones as the terminology ‘flying ad hoc network (FANET)’, and there indeed are numerous new challenges to be overcome before the idespread of so-called heterogeneous FANETs. In this book, we examine a range of technical issues in FANETs, from physical-layer channel modeling to MAC-layer resource allocation, while also introducing readers to UAV aided mobile edge computing techniques.


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.


Model-driven Development for Embedded Software

Model-driven Development for Embedded Software
Author: Jean-Aime Maxa
Publisher: Elsevier
Total Pages: 184
Release: 2018-03-27
Genre: Technology & Engineering
ISBN: 0081023898

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Model-driven Development for Embedded Software: Application to Communications for Drone Swarm describes the principles of model-oriented design used in the aeronautical field, specifically for the UAV (Unmanned Aerial Vehicle). The book focuses on designing an embedded system for drones to carry out ad hoc communication within a drone fleet. In this context, an original methodology for rapid prototyping of embedded systems is presented. This approach saves time for the verification and formal validation phases, contributing to certification of the Unmanned Aerial System (UAS). The book also addresses the more traditional verification phases that must be performed to verify accuracy of the system. This evaluation is carried out in simulation and by real experimentation. The various tools necessary for the implementation of this methodology are described to allow the reader to be able to implement independently. Finally, to illustrate the contribution of this original methodology, an example of embedded system development is presented in which the different phases of the methodology are explained to conceive, validate and test a new secure routing protocol developed for communications within a fleet of drones. Describes the principles of model-oriented design used in the aeronautical field Presents an original methodology of rapid prototyping of embedded systems Presents a mode of development for embedded systems in the different phases


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.


Swarms and Network Intelligence in Search

Swarms and Network Intelligence in Search
Author: Yaniv Altshuler
Publisher: Springer
Total Pages: 238
Release: 2017-08-03
Genre: Technology & Engineering
ISBN: 3319636049

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This book offers a comprehensive analysis of the theory and tools needed for the development of an efficient and robust infrastructure for the design of collaborative patrolling unmanned aerial vehicle (UAV) swarms, focusing on its applications for tactical intelligence drones. It discusses frameworks for robustly and near-optimally analyzing flocks of semi-autonomous vehicles designed to efficiently perform the ongoing dynamic patrolling and scanning of pre-defined “search regions”. It discusses the theoretical limitations of such systems, as well as the trade-offs between the systems’ various economic and operational parameters. Current UAV systems rely mainly on human operators for the design and adaptation of drones’ flying routes. However, recent technological advances have introduced new systems, comprised of a small number of self-organizing vehicles, manually guided at the swarm level by a human operator. With the growing complexity of such man-supervised architectures, it is becoming increasingly harder to guarantee a pre-defined level of performance. The use of large scale swarms of UAVs as a combat and reconnaissance platform therefore necessitates the development of an efficient optimization mechanism of their utilization, specifically in the design and maintenance of their patrolling routes. The book is intended for researchers and engineers in the fields of swarms systems and autonomous drones.


Internet of Things, Smart Spaces, and Next Generation Networks and Systems

Internet of Things, Smart Spaces, and Next Generation Networks and Systems
Author: Sergey Balandin
Publisher: Springer
Total Pages: 729
Release: 2014-08-01
Genre: Computers
ISBN: 3319103539

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This book constitutes the joint refereed proceedings of the 14th International Conference on Next Generation Wired/Wireless Advanced Networks and Systems, NEW2AN 2014, and the 7th Conference on Internet of Things and Smart Spaces, ruSMART 2014, held in St. Petersburg, Russia, in August 2014. The total of 67 papers was carefully reviewed and selected for inclusion in this book. The 15 papers selected from ruSMART are organized in topical sections named: smart spaces core technologies, smart spaces for geo-location and e-tourism apps, smart space supporting technologies, and video solutions for smart spaces. The 52 papers from NEW2AN deal with the following topics: advances in wireless networking, ad hoc networks and enhanced services, sensor- and machine-type communication, networking architectures and their modeling, traffic analysis and prediction, analytical methods for performance evaluation, materials for future communications, generation and analysis of signals, business aspects of networking, progress on upper layers and implementations, modeling methods and tools, techniques, algorithms, and control problems, photonics and optics, and signals and their processing.


Performance Evaluation of a Multi-leader-follower Mobility Model for UAV Swarm

Performance Evaluation of a Multi-leader-follower Mobility Model for UAV Swarm
Author:
Publisher:
Total Pages: 54
Release: 2020
Genre: Electronic books
ISBN:

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Most of the existing group mobility models for flying ad hoc networks (FANET) are not suitable to exhibit an entirely distributed system. The leader-follower mobility model of UAV swarm capable of revealing autonomous behavior have gained popularity for many civilian and military applications. In the leader-follower model, the leader acts as a central body and responsible for leading the group towards the destination. Followers follow the leader’s direction for swarming together towards a common target. However, weaker connectivity between leader and followers due to limitedcommunication range (due to power limitation) generates orphan nodes. Additionally, loss of the central-leader introduces single point of failure problem, which can degrade the performance and goal of a mission. The accomplishment of a mission conducted through UAV Swarm is measured by the arrival ratio, fault-tolerance capacity, and the arrival time. In this thesis, we propose a completely distributed multi-leader-follower group mobility model for UAV swarm, where an orphan node is connected with the swarm through a sub-leader. Orphan node locally selects its sub-leader using the Q-learning, center of mass, and transmission range. Consequently, it exhibits robust connectivity among group members. The performance of this distributed navigation algorithm is demonstrated and compared with the traditional leader-follower model through extensive simulations for multiple test cases. As expected, the results show better performance in terms of i) arrival ratio, ii) arrival time, and iii) number of connected components for different swarm sizes.