A. Prasanth, PhD is an associate professor at Vel Tech Rangarajan Dr. Sagunthala Research and Development Institute of Science and Technology. He has published more than 45 research articles in international journals and conference proceedings, 12 books, and ten patents. His research interests include the Internet of Things, machine learning, wireless sensor networks, ad-hoc networks, and computer networks. Rajesh Kumar Dhanaraj, PhD is a distinguished professor at Symbiosis International University. He has authored and edited more than 50 books on various cutting-edge technologies, holds 22 patents, and has contributed more than 115 articles to esteemed international journals and conferences. His research interests encompass machine learning, cyber-physical systems, and wireless sensor networks. Munish Sabharwal, PhD is the Chief Operating Officer and a Professor of Computer Science and Engineering at the Institute of Integrated Learning in Management and an adjunct professor in the School of Digital Technologies at Samarkand State University with more than 25 years of experience. He has published more than 100 research papers in international journals and conferences. His current research interests include data sciences, biometrics, and e-banking. Vandana Sharma, PhD is an associate professor at CHRIST University. She has published more than 75 research papers in international journals and conferences and is a member of the Women in Engineering Society. Her primary areas of interest include artificial intelligence, blockchain technology, and the Internet of Things. Seifedine Kadry, PhD is Professor of Data Science at Beirut Arab University. He serves as Editor-in-Chief of the International Journal of Quality Control and Standards in Science and Engineering. He is an IEEE Senior Member, and IET Fellow. His research focuses are Data Science, AI applications, system prognostics, stochastic systems, and probability and reliability analysis.

• Preface xix1 Journey to Transportation and Logistics Management Using Drone: Digitization and Technological Evolution 1Seema Rani, Misbah Anjum, Shivangi Chawla and Vandana Sharma1.1 Introduction 21.2 Literature Review 61.3 Fundamental Elements of Drone Technology 71.4 Evolution of Drone Technology 121.5 Use Case in Various Sectors 141.6 Application in Transportation and Logistics 161.7 Conclusion 19References 202 Challenges of Big Data Implementation in Drone-Based Logistics 25Mani Deepak Choudhry, M. Sundarrajan, S. Jeevanandham and V. Saravanan2.1 Introduction 262.2 Related Works 292.3 Big Data in Transit 322.4 Factors Affecting UAV Implementation in Logistics 352.5 Conclusion 39References 393 Frameworks for Handover Management for the Networks of Future Drones 43S. L. Jany Shabu, Xiao-Zhi Gao, J. Refonaa and D. Poornima3.1 An Overview 443.2 Literature Review 473.3 Handover Management for Future Drone Networks (hom-fdn) 493.4 Results and Discussion 593.5 Conclusion 63References 644 Convergence of Internet of Vehicle Things and Drones: An Interoperability Perspective 67V. Yokesh, N. Sathish, S. Lavanya and Pham Chien Thang4.1 Introduction 684.2 Communication Standards for Integration 714.3 Data Exchange Protocols 764.4 Integration with Edge Computing 784.5 Security and Privacy Measures 794.6 IoVT Regulations 824.7 Cross-Industry Collaboration 844.8 Interoperability Challenges 894.9 Application and Future of IoVT and Drones 924.10 Conclusion 93References 935 5G Communication in Drones for Surveillance in Future Transportation Activities 95N. Sathish, V. Yokesh, T. Kuntavai and Mariya Ouaissa5.1 Introduction 965.2 Overview of 5G Communication 965.3 Drones in Transportation 975.4 Drones and 5G Integration 1015.5 Network Architecture for Drone and 5G in Transportation 1035.6 Security and Privacy Considerations 1055.7 Regulatory and Ethical Considerations 1075.8 Future Trends and Innovations 1095.9 Conclusion 111References 1116 Impact and Assessment of Artificial Intelligence-Enabled UAV for Real-Time Data Streaming Application 115Gobinath C., Thanjaivadivel M., Sarathkumar Rangarajan and K. Kalaivanan6.1 Introduction 1166.2 Overview of UAVs Powered by AI 1176.3 Applications of AI-Enabled UAVs in Real-Time Data Streaming 1226.4 Case Studies: Real-World Implementations 1276.5 Challenges and Considerations in AI-Enabled UAVs for Real- Time Data Streaming Applications 1356.6 Future Directions and Opportunities 1386.7 Conclusion and Future Enhancements 141References 1427 Blockchain-Based Security and Privacy Solutions for Drones Systems 145Sugandhi Malhotra, Gaganjot Kaur, K. Saranya and Anu Sayal7.1 Introduction 1467.2 Drones – The New Network Architecture 1587.3 Drones Privacy Solutions 1677.4 Integration of Blockchain Functioning with Drones 1737.5 Security Challenges and the Road Ahead 1757.6 Conclusion 177References 1778 Design and Development of Modular and Multifunctional UAV for Amphibious Landing and Surround Sense Module 181Surendar G., Balasubramanian E., Choi Jae-Sung and C.H. Nirmal Prabhath8.1 Introduction 1828.2 UAV Design Considerations 1838.3 Development of Modular UAV 1848.4 Surround Sense Module 1888.5 Integration and Testing 1908.6 Conclusion 194Acknowledgement 195References 1959 Implementing Mission Critical Public Safety Using Communication in Drones Network 199V. Nithya, Mani Deepak Choudhry, M. Parimala Devi and S. Jayachitra9.1 Introduction 2009.2 Related Work 2039.3 UAV – Characteristics and Strategies 2069.4 Communication Framework Support by UAVs 2149.5 Conclusion 215References 21510 Assessing the Impact of Drones on Students’ Engagement and Learning Outcomes 221M. Narendran, S. Surendiran, Alamgir Khan and Mahender Singh10.1 Introduction 22210.2 Literature Review 22410.3 Methodology 22510.4 Implementation of Drone-Assisted Learning Activities 22710.5 Results and Analysis 22910.6 Discussion 23410.7 Recommendations 23610.8 Conclusion 238References 23911 Implementation of Delivery Drones in the Logistics Business Process 241Jeevitha D., S. Venkatesh, R. Sathya and Raffaele Mascella11.1 Introduction 24111.2 Logistics Advantages of Delivery Drones 24311.3 Challenges and Considerations 24411.4 Integration Strategies 24711.5 Technical Components of Delivery Drones 25011.6 Data Management and Analytics 25211.7 Environmental and Social Impact 25411.8 Case Study 25611.9 Conclusion 257References 25712 Social and Ethical Issues of Using Drones in Logistics and Disaster Management 259M. Nalini, N. Prashithaa, Rajesh Kumar Dhanaraj and F.H.A. Shibly12.1 Introduction 25912.2 The Role of Drones in Logistics and Disaster Management 26212.3 Privacy Concerns 26512.4 Challenges and Considerations 26612.5 Regulatory Frameworks 27112.6 Case Studies 27312.7 Conclusion 276References 27613 Regulatory Overview and Challenges of Drone Technology in Safety Regulation 279S. Vijayanand, T.S. Pradeepkumar, M. Annalakshmi and Azween Bin Abdullah13.1 Introduction 28013.2 FAA Oversight and Authority Over US Airspace 28113.3 Key Regulatory Challenges 28413.4 Industry Standards and Best Practices 28813.5 Regulatory Outlook and Future Needs 29113.6 Conclusions and Recommendations 296References 29614 Drone-Based Application of Warehouse Logistics – A Case Study 299Sangeetha Radhakrishnan, A. Prasanth, K.K. Devi Sowndarya and Ahmed A. Elngar14.1 Introduction 30014.2 Drones 30714.3 Usage of Drones in Inventory Management 31414.4 Application of Drone in Warehouse Logistics 32014.5 Conclusion 325References 32515 Data Driven Emergency Response Management for UAV-Based Future Transportation – A Case Study 329D. Vinodha, J. Jenefa, E.A. Mary Anita and Sameer Al-Dahidi15.1 Scope 33015.2 Applications of UAV During Emergency Response Management 33115.3 Challenges and Solutions 33315.4 Learning and Knowledge Outcomes 36615.5 Conclusion 367References 36716 Remote Assessments and Aerial Imaging Using UAV for Disaster Management and Precision Agriculture with Immediate Response – A Case Study 371Kalaivanan Karunanithy, Bhanumathi Velusamy and A. Prasanth16.1 Introduction 37216.2 Various Types of Cameras Used in Remote Sensing 37516.3 Machine Learning-Based Object Identification 37916.4 Challenges and Limitations of Technology Deployment in Disaster Management 39016.5 Case Studies 39216.6 Conclusion 393References 394Index 399