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Internet of Drones: AI Applications for Smart Solutions [Kõva köide]

Edited by (GBU), Edited by , Edited by , Edited by (School of Computer Science Engineering and Technology (SCSET), Bennett University, Greater Noida)
  • Formaat: Hardback, 426 pages, kõrgus x laius: 234x156 mm, kaal: 453 g, 20 Tables, black and white; 9 Line drawings, color; 119 Line drawings, black and white; 4 Halftones, color; 37 Halftones, black and white; 13 Illustrations, color; 156 Illustrations, black and white
  • Ilmumisaeg: 03-Nov-2022
  • Kirjastus: Apple Academic Press Inc.
  • ISBN-10: 1774639858
  • ISBN-13: 9781774639856
  • Formaat: Hardback, 426 pages, kõrgus x laius: 234x156 mm, kaal: 453 g, 20 Tables, black and white; 9 Line drawings, color; 119 Line drawings, black and white; 4 Halftones, color; 37 Halftones, black and white; 13 Illustrations, color; 156 Illustrations, black and white
  • Ilmumisaeg: 03-Nov-2022
  • Kirjastus: Apple Academic Press Inc.
  • ISBN-10: 1774639858
  • ISBN-13: 9781774639856
"In recent years, drones have been integrated with the Internet of Things to offer a variety of exciting new applications in different sectors. This volume provides a detailed exploration of adapting and implementing Internet of Drones (IoD) technologiesinto real-world applications, with the emphasis on solutions to architectural challenges, providing a clear overview of standardization and regulation, implementation plans, and privacy concerns. The Internet of Drones : AI Applications for Smart Solutions discusses the architectures and protocols for drone communications, implementing and deploying of 5G-drone setups, security issues with drone technology, deep learning techniques applied on real-time footage, and more. It also explores some of the varied applications of IoD, such as for use in monitoring and analysis of troposphere pollutants, providing services and communications in smart cities (such as for weather forecasting, healthcare, communications, transport, agriculture, safety and protection, environmental reduction, service delivery, and e-disposal), for disaster relief management (such as for scanning the affected areas for radiation intensity in cases of nuclear disaster, gathering the location of hotspots, looking for the victims, assessing damage), and more. The authors cover package delivery, movement of traffic, crop monitoring, and mass detection. The problems and challenges associated with IoD in air traffic monitoring, communication between drones, optimum route discovery, and security are also addressed. This detailed exploration of adapting and implementing IoD technologies into real-world applications in this volume will be valuable for graduate students in computer science and especially drone technology, as well as researchersand professionals"--

In recent years, drones have been integrated with the Internet of Things to offer a variety of exciting new applications. Here is a detailed exploration of adapting and implementing Internet of Drones technologies in real-world applications, emphasizing solutions to architectural challenges and providing a clear overview of standardization and regulation, implementation plans, and privacy concerns. The book discusses the architectures and protocols for drone communications, implementing and deploying of 5G-drone setups, security issues, deep learning techniques applied on real-time footage, and more. It also explores some of the varied applications, such as for monitoring and analysis of troposphere pollutants, providing services and communications in smart cities (such as for weather forecasting, communications, transport, safety and protection), for disaster relief management, for agricultural crop monitoring, and more.



A detailed exploration of implementing Internet of Drones technologies into real-world applications, with the emphasis on solutions to architectural challenges, providing a clear overview of standardization and regulation, implementation plans, and privacy concerns, along with its uses in many areas.

Arvustused

The book has documented the concept of Internet of Drone Things in a very elaborative, logical, and strong technical manner. All the latest topics connected to drones in terms of architecture, security, protocols, artificial intelligence role, and real-time case studies are well documented. The book lays a strong foundation for researchers to do advanced research and solve futuristic problems connected to IoDT and come up with more case studies for IoDT-based implementations. Anand Nayyar, PhD, School of Computer Science, Duy Tan University, Viet Nam

PART I: INTRODUCTION TO DRONES
1. The Internet of Things (IoT)
Architectures and Protocols for Drone Communications
2. Approaching Internet
Renovation of Imperceptible Computers to Facilitate the Internet of Drones
3.
Implementation and Deployment of 5G-Drone Setups PART II: DRONE AUTOMATION
SOLUTIONS FOR SECURITY AND SURVEILLANCE
4. Security Issues in the Internet of
Drones (IoDs)
5. Real-Time Monitoring and Analysis of Troposphere Pollutants
Using a Multipurpose Surveillance Drone
6. Advanced Object Detection Methods
for Drone Vision
7. Security Analysis of UAV Communication Protocols:
Solutions, Prospects, and Encounters PART III: DRONE IN THE MACHINE LEARNING
ENVIRONMENT
8. Challenges and Opportunities of Machine Learning and Deep
Learning Techniques for the Internet of Drones
9. Machine Learning and Deep
Learning Algorithms for IoD PART IV: DRONES IN SMART CITIES
10. Smart Cities
and the Internet of Drones
11. The Internet of Drones for Enhancing Service
Quality in Smart Cities PART V: APPLICATIONS OF DRONES IN BUSINESS AND
DISASTER RELIEF MANAGEMENT
12. Internet of Drones Application in Aviation MRO
Business Services
13. Deploying Unmanned Aerial Vehicle (UAV) for Disaster
Relief Management
Arun Solanki, PhD, is Professor of Computer Science and Engineering, Gautam Buddha University, Greater Noida, India. His many roles include timetable coordinator and member of the examination, admission, sports council, digital information cell, and other university teams. He has published research articles in international journals and has organized several FDP, conferences, workshops, and seminars. He is also Associate Editor of the International Journal of Web-Based Learning and Teaching Technologies.

Sandhya Tarar, PhD, is Assistant Professor of Computer Science and Engineering and Convener of the Centre of Excellence on Artificial Intelligence and Cyber Security at Gautam Buddha University, Greater Noida, India. She has published her work in national and international journals and conferences and holds two patents: Smart Medicine Dispenser and A Device for Contamination Detection in Fuel Supply into a Vehicle.

Simar Preet Singh, PhD, is Assistant Professor of Computer Science Engineering and Technology at Bennett University, Greater Noida, India. He was previously affiliated with GNA University, Chandigarh Engineering College, DAV University, and Infosys Limited. He has published journal papers and has presented his work at national and international conferences in India and abroad.

Akash Tayal, PhD, is Associate Professor of Electronics and Communication at the Indira Gandhi Delhi Technical University for Women, India. He has published research articles in SCI/Scopus-indexed international journals and has participated at many international conferences as a technical and advisory committee member and session chair.