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Autonomous Flying Ad-Hoc Networks

Edited by Taskeen Zaidi, Adarsh Kumar, Saurav Mallik, and Keshav Kaushik
Copyright: 2025   |   Expected Pub Date:2025//
ISBN: 9781394231058  |  Hardcover  |  
272 pages
Price: $225 USD
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One Line Description
Learn to leverage the power of Autonomous Flying Ad-Hoc Networks (FANETs) for everything from urban surveillance to disaster relief, and stay ahead in the rapidly evolving world of drone technology and AI.

Audience
Academics, researchers, policymakers, and industry professionals working in computer science, software engineering, and the UAV space

Description
Flying ad-hoc networks (FANETS) are emerging as an innovative technology in the Unmanned Aerial Vehicles (UAV) space, which has proven its usefulness in urban surveillance, disaster management, and rescue operations. In FANETs, a swarm of UAVs are locally connected together through a base station and the nearby environment to gather the information. FANETs are able to cover larger distances than its predecessors, MANETs (Mobile Ad-hoc Networks) and VANETs (Vehicle Ad-Hoc Networks), making them an ideal solution for gathering vital data. As artificial intelligence is implemented across a number of industries, this technology has the capability to train large datasets. Researchers are exploring ways to improve AI algorithms and quantum computing using this technology. Autonomous Flying Ad-Hoc Networks offers comprehensive coverage of the fundamentals of FANET technology by comparing the differences between FANETs, MANETs, and VANETs, including their characteristics, features, and design models, and discussing the applications and challenges of FANET adoption.

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Author / Editor Details
Taskeen Zaidi, PhD works in the School of Computer Science and Information Technology at Jain University with over 12 years of research and teaching experience. She has published over 40 research papers in international journals, conferences, and workshops. Her areas of interest include cloud computing, ad-hoc networks, distributed computing, and mobile application development.

Adarsh Kumar, PhD is an associate professor in the School of Computer Science at the University of Petroleum and Energy Studies. He has published over 120 research papers in reputed journals, conferences, and workshops. His primary research interests include cybersecurity, cryptography, network security, and ad-hoc networks.

Saurav Mallik, PhD is a research scientist in the Department of Pharmacology and Toxicology at the University of Arizona. He has edited one book and coauthored over 82 research papers in peer-reviewed international journals, conferences, and book chapters. His research areas include data mining, computational biology, bioinformatics, biostatistics, and machine learning.

Keshav Kaushik, PhD is an associate professor in the Department of Computer Science and Engineering in the Sharda School of Engineering and Technology at Sharda University. He has published over 150 articles in international journals and conferences, 30 books, and 25 book chapters. He also holds one patent and has published another six, and has been granted five copyrights. With a career marked by significant achievements and a profound impact on cybersecurity and digital forensics, he continues to inspire and lead in both academic and professional circles.

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Table of Contents
Preface
1. Research Perspectives of Various Routing Protocols for Flying Ad Hoc Networks (FANETs)
Kanthavel R., Adline Freeda R., Anju A., Dhaya R. and Frank Vijay
1.1 Introduction
1.2 Unmanned Aerial Vehicles
1.3 FANET Characteristics
1.4 Routing Protocols for FANETs
1.5 Communication Pedagogy for FANETs
1.6 Challenges and Applications of FANET Configuration
1.6.1 Issues and Challenges in FANETs
1.6.2 Applications for FANETs
1.6.2.1 Multilevel-UAV Collaboration
1.6.2.2 UAV-to-Ground Cooperation
1.6.2.3 UAVs in VANETs
1.7 Conclusion
References
2. Exploring Quantum Cryptography, Blockchain, and Flying Ad Hoc Networks: A Comprehensive Survey with Mathematical Analysis
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar,
Sachin Chaudhary and Rajneesh Panwar
2.1 Introduction to Quantum Cryptography
2.1.1 Quantum Mechanics Primer
2.1.2 Genesis of Quantum Cryptography
2.2 Quantum Key Distribution
2.2.1 Components of Quantum Key Distribution
2.2.2 Key Aspects and Security
2.2.3 Challenges and Practical Considerations
2.2.4 Applications
2.3 Literature Review
2.4 Blockchain Technology: Enhancing Security and Transparency
2.4.1 Decentralization and Consensus Mechanisms
2.4.2 Enhancing Security
2.4.3 Transparency and Auditability
2.4.4 Use Cases
2.4.5 Challenges and Prospects
2.4.6 Synergy Between Quantum Cryptography and Blockchain
2.5 Flying Ad Hoc Networks: A Dynamic Communication Infrastructure
2.5.1 Key Characteristics and Components
2.5.2 Challenges and Considerations
2.5.3 Applications
2.5.4 Convergence of Quantum Cryptography, Blockchain, and FANETs
2.6 Future Directions and Challenges
2.6.1 Future Directions
2.6.2 Challenges
2.7 Conclusion
References
3. A Survey on Security Issues, Challenges, and Future Perspectives on FANETs
Syed Mohd Faisal, Wasim Khan, Mohammad Ishrat and Taskeen Zaidi
3.1 Introduction
3.2 Architecture of FANET
3.3 Unmanned Aerial Vehicle Classification
3.3.1 Classification of UAVs According to the Size
3.3.1.1 Very Small UAVs
3.3.1.2 Small UAVs
3.3.1.3 Medium UAV
3.3.1.4 Large UAVs
3.3.2 Classification of UAVs Based on Wing Type
3.3.2.1 Multi-Rotor Drones
3.3.2.2 Fixed-Wing Drones
3.3.2.3 Single-Rotor Helicopter Drones
3.3.2.4 Fixed-Wing Hybrid VTOL Drones
3.3.3 Classifications of Drones Based on Payload
3.3.3.1 Featherweight Drones
3.3.3.2 Lightweight Drones
3.3.3.3 Middleweight Drones
3.3.3.4 Heavy Lift Drones
3.4 Security Requirements
3.4.1 Confidentiality
3.4.2 Integrity
3.4.3 Availability
3.4.4 Authentication
3.4.5 Non-Repudiation
3.4.6 Authorization
3.4.7 Non-Disclosure
3.5 Routing Protocols
3.5.1 Static Routing Protocol
3.5.1.1 Load Carry and Deliver Routing
3.5.1.2 Multi-Level Hierarchical Routing Protocol
3.5.1.3 Data-Centric Routing
3.5.2 Proactive Routing Protocol
3.5.2.1 Destination Sequenced Distance Vector (DSDV) Routing Protocol
3.5.2.2 Optimized Link State Routing
3.5.3 Reactive Routing Protocol
3.5.3.1 Dynamic Source Routing Protocol
3.5.3.2 Ad Hoc On-Demand Distance Vector Routing Protocol
3.5.3.3 Time-Slotted On-Demand Routing Protocol
3.5.4 Hybrid Routing Protocols
3.5.4.1 Zone Routing Protocol
3.5.4.2 Temporarily Ordered Routing Algorithm
3.5.5 Geographic-Based Routing Protocols
3.5.5.1 Greedy Perimeter Stateless Routing
3.5.5.2 Mobility-Oriented Geographical Routing
3.5.6 Hierarchical Routing Protocols
3.5.7 Mobility Prediction Clustering Algorithm
3.5.8 Clustering Algorithm
3.6 Security Issues and Countermeasures in FANET
3.6.1 Sensor Level Security Issues
3.6.1.1 Vulnerabilities and Treats
3.6.1.2 Sensor-Based Attacks
3.6.1.3 Defense Mechanisms Against Sensor-Based Attacks
3.6.2 Hardware Level Issues
3.6.2.1 Vulnerabilities and Threats
3.6.2.2 Hardware-Based Attacks
3.6.2.3 Defense Mechanisms Against Hardware-Based Attack
3.6.3 Software Level Issues
3.6.3.1 Vulnerabilities and Threats
3.6.3.2 Software-Level Attacks
3.6.3.3 Defense Mechanism Against Software-Based Attack
3.7 Conclusion
References
4. Quantum Cryptography for Secure FANET
Taskeen Zaidi and Neha S.
Abbreviations
4.1 Introduction
4.2 Network Security Requirements
4.3 Security Threats
4.3.1 Taxonomy of Security Threats/Attacks
4.3.1.1 Denial of Service Attack
4.3.1.2 Modification and Fabrication Attacks
4.3.1.3 Routing Attacks
4.3.1.4 Other Attacks
4.3.2 Summary
4.4 Quantum Cryptography
4.4.1 Quantum Cryptography Introduction
4.4.2 QPKE Based FANET Model (Based on the Encryption Model Introduced by Yuqi Wang)
4.5 Conclusion
References
5. A Review of Various Routing Protocols for FANET
Nitya Nand Dwivedi
5.1 Introduction
5.2 Flying Ad Hoc Network Routing Protocol
5.2.1 Static Routing
5.2.2 Hierarchical Routing
5.2.2.1 Data-Centric Routing
5.2.2.2 Load, Carry, and Delivery Routing
5.2.3 Proactive Routing
5.2.3.1 Optimized Link State Routing
5.2.3.2 Destination-Sequenced Distance Vector (DSDV)
5.2.4 Reactive Routing
5.2.4.1 Dynamic Source Routing
5.2.4.2 Ad Hoc On-Demand Distance Vector
5.2.5 Hybrid Routing
5.2.5.1 Zone Routing Protocol
5.2.5.2 Temporarily Ordered Routing Algorithm (TORA)
5.2.6 Geographic (or Position)-Based Routing
5.2.6.1 DREAM (Temporarily Ordered Routing Algorithm)
5.2.6.2 Location-Aided Routing
5.2.6.3 Greedy Perimeter Stateless Routing
5.2.6.4 AeroRP
5.2.7 Cross-Layer Routing
5.3 Conclusion
References
6. The Integration of the Internet of Things in FANET
Ankur Chaudhary, Neetu Faujdar and Ritesh Rastogi
6.1 Introduction
6.1.1 Integration of IoT Technology with a FANET
6.1.2 Overview of FANET and Its Applications
6.1.3 Introduction of IoT and Its Relevance in FANET
6.1.4 Importance of Integrating IoT with FANET for Enhanced Capabilities
6.2 Fundamentals of FANETs
6.2.1 Explanation of FANET Architecture and Operation
6.2.1.1 Challenges in FANET Activity
6.2.1.2 Activity of FANETs
6.2.2 Explanation of FANET Architecture and Operation
6.2.2.1 Key Characteristics and Difficulties of FANETs
6.2.3 Use Cases and Advantages of a FANET in Various Industries
6.2.3.1 Applications of a FANET
6.2.3.2 Benefits of a FANET
6.3 Introduction to the IoT
6.3.1 Advantages of the IoT
6.3.2 Difficulties of the IoT
6.3.2.1 Definition and Core Principles of the IoT
6.3.2.2 Components and Layers of the IoT Ecosystem
6.4 Internet-of-Things-Enabled Communication in a FANET
6.5 Internet-of-Things Communication Protocol
6.5.1 Message Queuing Telemetry Transport
6.5.2 Constrained Application Protocol
6.5.3 Data Aggregation and Routing Strategies in IoT-Enabled FANET
6.5.3.1 Methodologies of IoT-Enabled FANETs
6.5.3.2 Methodologies of IoT-Empowered FANETs
6.6 Conclusion
6.6.1 Recap of the Key Points
6.6.2 Potential Impact of IoT Integration on the Future of FANET
Bibliography
7. Enhancing Precision Agriculture Through Bio-Inspired Routing Protocols for Flying Ad Hoc Networks
S. Nandhini and K. S. Jeen Marseline
7.1 Introduction
7.2 Precision Agriculture
7.3 Bio-Inspired Routing Protocols for FANET
7.3.1 Gray Wolf Optimization
7.3.2 BAT Algorithm
7.3.3 Sand Cat Swarm Optimization Algorithm
7.3.4 Ant Colony Optimization Algorithm
7.3.5 Bee Colony Optimization
7.3.6 Firefly Optimization Algorithm
7.3.7 Case Studies and Real-World Examples of FANET in Precision Agriculture
7.3.7.1 Case Study 1
7.3.7.2 Case Study 2
7.3.7.3 Case Study 3
7.3.7.4 Case Study 4
7.3.7.5 Case Study 5
7.4 Real-World Applications
7.5 Conclusion
References
8. Disaster Recovery Management in FANETs
Amit Kumar, Sachin Ahuja and Ganesh Gupta
8.1 Introduction
8.2 Related Work/Literature Survey
8.3 Disaster Recovery Method of FANETs
8.4 Proposed New Solutions for Improved Disaster Management in FANETs
8.5 Conclusion
8.6 Future Techniques for Disaster Recovery in FANETs
References
9. AI-Based Cybersecurity Opportunities and Issues on the IIoT
Akashdeep Bhardwaj
9.1 Introduction
9.2 Application of AI in IIoT Cybersecurity
9.2.1 Anomaly Detection
9.2.2 Threat Intelligence
9.2.3 Network Security
9.2.4 User Behavioral Analysis
9.2.5 Predictive Maintenance
9.2.6 Fraud Detection
9.2.7 Cybersecurity Automation
9.3 Potential Benefits and Issues
9.4 AI-Cybersecurity Use Cases
9.4.1 Siemens
9.4.2 Honeywell
9.4.3 Darktrace
9.4.4 Symantec
9.4.5 IBM
9.5 Conclusion
References
10. Exploring the Synergy of Fog Computing and FANETs for Next-Generation Networking
Akashdeep Bhardwaj
10.1 Introduction
10.2 Fog Computing and FANET
10.3 Synergy Between Fog Computing and FANETs
10.4 Integration Challenges
10.5 Architectural Implications
10.6 Deployment Considerations
10.7 Conclusion
References
11. Quantum Cryptography and FANET Security
M. G. Sumithra, R. Remya, Ashwini A., G. Dhivyasri and M. Manikandan
11.1 Introduction
11.1.1 How Does It Work?
11.1.2 Difference Between Post-Quantum Cryptography and Quantum Cryptography
11.1.3 Tomorrow’s Solution
11.1.4 Flying Ad Hoc Network Security
11.2 Components of a FANET
11.2.1 Unmanned Aerial Vehicles
11.2.2 Communication Hardware
11.2.3 Routing Protocol
11.2.4 Mobility
11.2.5 Sensors and Payloads
11.2.6 Autonomy and Control
11.2.7 Energy Considerations
11.2.8 Ground Control Station
11.3 Characteristics of FANETS
11.3.1 Mobility
11.3.2 Decentralization
11.3.3 Scalability
11.3.4 Constraint to Resources
11.4 Challenges in FANETS
11.5 Applications of FANETS
11.5.1 Search and Rescue
11.5.2 Precision Agriculture
11.5.3 Communication Relays
11.5.4 Military and Defense
11.6 Quantum Computing in FANET Security
Conclusion
References
About the Editors
Index

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