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Submit a ProposalEdge Computing and Aerial Platforms
 | Edited by Sapna Juneja, Rajesh Kumar Dhanaraj, and Abhinav Juneja Copyright: 2026 | Expected Pub Date: 2026 ISBN: 9781394336296 | Hardcover | 424 pages Price: $225 USD  |
One Line Description
Unlock the groundbreaking potential of aerial-aided edge computing with this comprehensive guide, which provides the expert insights and architectural frameworks needed to revolutionize disaster management, precision agriculture, and smart city initiatives through real-time, data-driven innovation.
Audience
Researchers, academics, policymakers, and technology strategists in the computer science and engineering fields, particularly those focused on AI, IoT, and edge computing.
Researchers, academics, policymakers, and technology strategists in the computer science and engineering fields, particularly those focused on AI, IoT, and edge computing.
Description
In the rapidly evolving landscape of modern technology, the convergence of aerial platforms and edge computing has emerged as a groundbreaking paradigm, offering unparalleled opportunities for innovation and efficiency across diverse domains. This book delves into the forefront of this transformative intersection, providing an insightful exploration of its trends, challenges, and wide-ranging applications. This comprehensive guide navigates the intricate relationship between aerial platforms, such as drones and unmanned aerial vehicles (UAVs), and edge computing infrastructure, demonstrating the synergistic potential they possess. The book will cover the key areas, including the fundamental principles and architecture of edge computing, laying the groundwork for understanding its integration with aerial platforms. From enhancing disaster management and environmental monitoring to revolutionizing precision agriculture and smart city initiatives, the integration of aerial-aided edge computing reshapes how we perceive and interact with the world around us. With contributions from leading experts in the field, this book offers a deep dive into the latest research, methodologies, and technological advancements driving this innovative fusion forward.
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In the rapidly evolving landscape of modern technology, the convergence of aerial platforms and edge computing has emerged as a groundbreaking paradigm, offering unparalleled opportunities for innovation and efficiency across diverse domains. This book delves into the forefront of this transformative intersection, providing an insightful exploration of its trends, challenges, and wide-ranging applications. This comprehensive guide navigates the intricate relationship between aerial platforms, such as drones and unmanned aerial vehicles (UAVs), and edge computing infrastructure, demonstrating the synergistic potential they possess. The book will cover the key areas, including the fundamental principles and architecture of edge computing, laying the groundwork for understanding its integration with aerial platforms. From enhancing disaster management and environmental monitoring to revolutionizing precision agriculture and smart city initiatives, the integration of aerial-aided edge computing reshapes how we perceive and interact with the world around us. With contributions from leading experts in the field, this book offers a deep dive into the latest research, methodologies, and technological advancements driving this innovative fusion forward.
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Author / Editor Details
Sapna Juneja, PhD is a Professor and Associate Dean of Research and Development in the Department of Computer Science and Engineering in the KIET Group of Institutions with more than 17 years of teaching experience. She has published six patents. She has published six patents and various research articles in the renowned national and international journals. Her research interests include software engineering, computer networks, operating systems, database management systems, and artificial intelligence.
Sapna Juneja, PhD is a Professor and Associate Dean of Research and Development in the Department of Computer Science and Engineering in the KIET Group of Institutions with more than 17 years of teaching experience. She has published six patents. She has published six patents and various research articles in the renowned national and international journals. Her research interests include software engineering, computer networks, operating systems, database management systems, and artificial intelligence.
Rajesh Kumar Dhanaraj, PhD is a Professor at Symbiosis International University. He has authored and edited more than 50 books on various cutting-edge technologies, contributed more than 100 papers to international journals, and holds 21 patents. His research interests encompass machine learning, cyber-physical systems, and wireless sensor networks.
Abhinav Juneja, PhD is a Professor and the Head of the Department of Computer Science and Information Technology in the KIET Group of Institutions with more than 21 years of teaching experience. He has more than 55 publications in national and international journals and conferences and has edited two books on emerging areas of machine learning and related technologies. He is a member of the Association for Computing Machinery and the International Association of Engineers.
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Table of Contents
Preface
1. Introduction to Aerial Aided Edge Computing: Understanding and Foundation of Edge Computing
Gifty Gupta, Isha Kansal, Charu Sharma, Deepali Gupta, Kamali Gupta and Yonis Gulzar
1.1 Introduction to Edge Computing
1.1.1 Definition and Concept of Edge Computing
1.1.2 Evolution and Importance of Edge Computing
1.1.2.1 Evolution of Edge Computing
1.1.2.2 Importance of Edge Computing
1.2 Aerial Aided Technologies
1.2.1 Overview of Aerial Technologies
1.2.1.1 Types of Aerials Technologies
1.2.1.2 Key Components of Aerial Technologies
1.2.1.3 Applications of Aerial Technologies
1.2.1.4 Advantages of Aerial Technologies
1.2.1.5 Challenges and Considerations
1.2.2 Applications of Aerial Technologies in Edge Computing
1.3 Integration of Aerial Technologies with Edge Computing
1.3.1 Key Components of Integration
1.3.2 Challenges in Integration
1.4 Use Cases and Case Studies of Aerial Technologies
1.5 Technical Foundations of Edge Computing
1.5.1 Edge Computing Architecture
1.5.2 Edge Computing Networking and Communication
1.5.2.1 Networking Requirements in Edge Computing
1.5.2.2 Key Networking Technologies in Edge Computing
1.5.2.3 Communication Protocols in Edge Computing
1.6 Edge Computing Networking Architectures
1.7 Challenges in Edge Networking and Communication
1.8 AAEC in Industry and Agriculture
1.9 Security and Privacy Concerns in AAEC
1.10 Future Trends and Innovations
1.10.1 Emerging Technologies in Edge Computing
1.10.2 Future Innovations
1.11 Conclusion
Acknowledgment
References
2. Advancing Autonomous Drone Systems: The Synergy of AI and Data Science in Enhancing Drone Capabilities and Applications
Geetika Munjal, Praanjul Yadav and Amanul Haque
2.1 Introduction
2.2 Components of Drones
2.3 AI Methods in Drones
2.4 Simulation Tools for Drones
2.5 Application of Drones
2.6 Challenges
Conclusion and Future Scope
References
3. Applications of Aerial Aided Edge Computing in Disaster Management and Emergency Response, Environmental Monitoring and Conservation, Precision Agriculture and Crop Management, Infrastructure Inspection and Maintenance, Surveillance, and Public Safety
K. Lakshmi, S. Parvathavarthini and M. Thangavel
3.1 Introduction
3.2 AAEC in Disaster Management and Emergency Response
3.2.1 Impacts of AAEC on Disaster Management and Emergency Response
3.2.2 Challenges
3.2.3 Future Directions
3.3 AAEC in Environmental Monitoring and Conservation
3.3.1 Impact of AAEC in Environmental Monitoring and Conservation
3.3.2 Challenges and Future Directions
3.4 Applications of AAEC in Precision Agriculture
3.4.1 Impact of AAEC in Precision Agriculture
3.4.2 Challenges and Future Directions
3.5 Application of AAEC in Infrastructure Inspection and Maintenance
3.5.1 Impact of Applications of AAEC in Infrastructure Inspection and Maintenance
3.5.2 Challenges and Future Directions
3.6 Application of AAEC in Surveillance and Public Safety
3.6.1 Impact of AAEC in Surveillance and Public Safety
3.6.2 Challenges and Future Directions
3.7 Conclusion
Bibliography
4. Application of Aerial Edge Computing in Disaster Management
Monika Kumari, Ankit Baranwal, Sonal and Puneet Garg
4.1 Introduction
4.2 Tools of Aerial Edge Computing
4.2.1 Drones and UAVs (Unmanned Aerial Vehicles)
4.2.2 Edge Computing Hardware
4.2.3 Connectivity and Networking Tools
4.2.4 Sensor Integration
4.2.5 Cloud and Hybrid Computing Platforms
4.2.6 Artificial Intelligence and Machine Learning Tools
4.2.7 Data Analytics Tools
4.2.8 Data Storage and Management
4.2.9 Autonomous Navigation and Control
4.2.10 Security and Privacy Tools
4.3 Benefits of Aerial Edge Computing
4.4 Types of Disaster
4.4.1 Natural Disaster
4.4.2 Man Made Disasters
4.5 Phases of Disaster Management
4.5.1 Phase 1: Mitigation
4.5.2 Phase 2: Preparedness
4.5.3 Phase 3: Response
4.5.4 Phase 4: Recovery
4.6 Challenges in Aerial Edge Computing
4.6.1 Energy Efficiency and Power Constraints
4.6.2 Network Latency and Communication
4.6.3 Dynamic Mobility and Connectivity
4.6.4 Security and Privacy
4.6.5 Data Management and Storage
4.6.6 Scalability and Coordination
4.6.7 Autonomous Decision Making
4.6.8 Real-Time Processing Requirements
4.6.9 Fault Tolerance and Reliability
Conclusion
References
5. Advances in Aerial Platforms and Edge Computing
Aditi, Pragya Saraswat, Vivek Sharma and Puneet Garg
5.1 Introduction
5.1.1 Introduction to Aerial Work Platforms
5.1.2 Types of Aerial Work Platforms
5.1.3 Evolution of Aerial Systems
5.1.4 Importance of Computing in Aerial Platforms
5.1.4.1 Navigation and Flight Control
5.1.4.2 Payload Operation and Data Acquisition
5.1.4.3 Networking and Communication
5.1.4.4 Organizing and Finishing the Mission
5.1.5 The Use of Aerial Lifts For
5.2 Hardware
5.2.1 Specialized Processors
5.2.2 Embedded Systems
5.2.2.1 Embedded Systems Development and History
5.2.2.2 Types of Embedded Systems
5.3 Aerial Work Platform Framework and Operational Principle
5.4 Interfaces between Humans and Machines in Aerial Systems
5.4.1 Piloting Drones Using Augmented and Virtual Reality
5.4.1.1 Piloting Drones with Augmented Reality (AR)
5.4.1.2 Using Virtual Reality (VR) to Pilot Drones
5.4.1.3 Pilot-Friendly Wearable Technology
5.5 Edge Computing
5.6 Overview of Edge Architecture
5.7 Overview of Edge Computing in Sensing, Communication, and Planning
5.7.1 Various Aerial Work Platform Types
5.8 Review of Edge Computing Technologies
5.9 Edge Computing System and Tools
5.10 Detecting Edges
Conclusion
References
6. Resource Constraints and Energy Efficient Optimization Algorithms for Aerial Aided Edge Device
Gifty Gupta, Isha Kansal, Charu Sharma, Deepali Gupta, Kamali Gupta and Sapna Juneja
6.1 Introduction
6.1.1 Background and Motivation
6.1.2 Fundamentals of Aerial Aided Edge Devices
6.1.3 Resource Constraints in Aerial Aided Edge Devices
6.1.3.1 Types of Resources
6.1.3.2 Challenges and Limitations
6.1.4 Energy Efficiency in Aerial Aided Edge Devices
6.1.4.1 Importance and Benefits
6.1.4.2 Factors Influencing Energy Consumption
6.1.5 Optimization Algorithms for Energy Efficiency
6.1.5.1 Traditional Optimization Techniques
6.1.5.2 Machine Learning and AI-Based Algorithms
6.2 Related Work
6.3 Case Studies and Applications
6.3.1 Real-World Implementations
6.3.2 Use Cases in Various Industries
6.4 Challenges and Future Directions
6.4.1 Current Challenges and Solutions
6.4.2 Emerging Trends and Technologies
6.5 Summary of Key Findings
6.6 Recommendations for Future Research
6.7 Conclusion
References
7. Advancing Edge-Integrated IoT Systems: Unleashing the Power of AI for Energy-Efficient and Real-Time Solutions
Monica Dutta, Mudita Uppal, Deepali Gupta and Abhinav Juneja
7.1 Introduction
7.2 Machine Learning and Deep Learning for IoT
7.3 Deep Learning for IoT in Edge Computing
7.4 Implementing Deep Learning on Edge
7.4.1 IoT Hardware for Edge Computing
7.4.2 IoT Frameworks and Libraries for Edge Computing
7.4.3 IoT Applications at Edge
7.4.4 Applications of DL Algorithms in IoT Architecture
7.5 Open Challenges
7.5.1 Privacy and Security
7.5.2 Resource Management
7.5.3 Energy Management
7.6 Discussion
7.7 Future Prospects
7.8 Conclusions
References
8. Deployments of Aerial Aided Edge Computing in Real-World Scenarios
Vishnu Durai R. S., Dhivyashree M., Akshya J., M. Sundarrajan and Rajesh Kumar Dhanaraj
8.1 Introduction to Aerial Aided Edge Computing
8.1.1 Overview of the Concept
8.1.2 Significance of Aerial Aided Edge Computing
8.1.3 Current Trends in Aerial Assisted Edge Computing
8.2 Architectures and Frameworks for Aerial Edge Deployments
8.2.1 Network Architectures for Aerial Edge Deployments
8.2.2 System Models for Aerial Edge Deployments
8.2.3 Deployment Frameworks for Aerial Edge Computing
8.3 Real-World Applications and Use Cases
8.4 Challenges and Solutions in Aerial Edge Deployments
8.5 Security and Privacy in Aerial Edge Deployments
8.6 Performance Metrics and Evaluation Frameworks
8.7 Case Studies and Deployment Scenarios
8.8 Future Directions and Emerging Trends
References
9. Aerial-Aided Edge Computing: Emerging Trends and Future Directions
Hemant Upadhyay and Manisha Sharma
9.1 Introduction to Aerial-Aided Edge Computing
9.2 Current Landscape of Edge Computing
9.3 Emerging Trends in Aerial-Aided Edge Computing
9.4 Future Directions for Aerial-Aided Edge Computing
9.5 Conclusion
Bibliography
10. Security and Privacy in Aerial-Aided Edge Computing Including Encryption and Authentication Mechanisms
Ravi G., N. Manikanda Devarajan and S. Prabu
10.1 Characteristics of Cloud Computing
10.1.1 Deployment Models
10.1.1.1 Private Cloud
10.1.1.2 Public Cloud
10.1.1.3 Hybrid Cloud
10.1.1.4 Community Cloud
10.2 Cloud Architecture
10.3 Security Issues in Cloud
10.3.1 Data Storage in Cloud
10.3.2 Aspects of Data Security
10.3.3 DNA Computing
10.4 Literature Survey
10.5 Design of Proposed Work
10.6 Experimental Results and Analysis
Conclusion
Bibliography
11. Integration of Aerial-Aided Edge Technologies with Emerging Technologies
S. Parvathavarthini, K. Lakshmi, M. Pyingkodi and C. Balakumar
11.1 Introduction to Aerial Technology
11.2 Overview of Edge Technology
11.2.1 Key Features of Edge Computing
11.3 Aerial-Aided Edge Computing
11.4 Significance of Integrating Aerial Technology and Edge Technology with Emerging Technologies
11.5 Synergy between Aerial and IoT Technologies
11.5.1 Challenges in Integration of Aerial and IoT Technologies
11.6 Edge Computing Paired with IoT Technology
11.6.1 Challenges and Potential Solutions for Edge and IoT Integration
11.7 Aerial, Edge, and IoT Integration
11.7.1 Impact of Combining Aerial, Edge, and IoT Technologies
11.7.2 Future Work and Scope in Combining Aerial, Edge, and IoT
11.8 Aerial Technology and Augmented Reality Integration
11.9 Edge and AR Integration
11.10 Hybridizing Aerial, Edge, and AR
11.10.1 Challenges and Potential Solutions for Aerial, Edge and Augmented Reality Integration
11.10.2 Future Work and Scope in Combining Aerial, Edge, and Augmented Reality
11.11 Aerial and Blockchain: A Symbiotic Relationship
11.11.1 Challenges in Aerial and Blockchain Integration
11.12 Aerial, Edge, and Blockchain Integration
11.12.1 Challenges and Potential Solutions for Aerial, Edge and Block Chain Integration
11.12.2 Future Work and Scope in Combining Aerial, Edge, and Blockchain
11.13 Conclusion
References
12. Research Challenges and Opportunities
Pankaj Kumar and S. K. Singh
12.1 Introduction
12.2 Related Works
12.3 Research Challenges in Aerial-Aided Edge Computing (AAEC)
12.4 Opportunities in Aerial-Aided Edge Computing (AAEC)
12.5 Conclusion
References
13. Fusion of Aerial Networks with Advanced Computing Paradigms
Abhishek Singh, Reeta Parmar, Parul Bhardwaj, Vivek Sharma and Puneet Garg
13.1 Introduction
13.2 Aerial Technologies: A Lean Overview
13.2.1 Edge Computing: Enabling Localized Intelligence
13.3 Block Chain for Enhanced Security and Transparency
13.4 Emerging Applications
13.5 Future Directions
13.6 Summary
Bibliography
14. Integration of Aerial and Edge Technologies with Other Emerging Technologies
Urvinder Kaur, Neeraj Gupta, Neha Bhatia, Ashima Arya and Mukesh Kumar
Introduction
Edge Computing
Aerial Computing
System Architecture of Aerial Computing
Features of Aerial Computing
Network Design of Aerial Computation System
Enabling Technologies
Vertical Domain Applications
Conclusion
Acknowledgement
Bibliography
Index
Back to Top
Preface
1. Introduction to Aerial Aided Edge Computing: Understanding and Foundation of Edge Computing
Gifty Gupta, Isha Kansal, Charu Sharma, Deepali Gupta, Kamali Gupta and Yonis Gulzar
1.1 Introduction to Edge Computing
1.1.1 Definition and Concept of Edge Computing
1.1.2 Evolution and Importance of Edge Computing
1.1.2.1 Evolution of Edge Computing
1.1.2.2 Importance of Edge Computing
1.2 Aerial Aided Technologies
1.2.1 Overview of Aerial Technologies
1.2.1.1 Types of Aerials Technologies
1.2.1.2 Key Components of Aerial Technologies
1.2.1.3 Applications of Aerial Technologies
1.2.1.4 Advantages of Aerial Technologies
1.2.1.5 Challenges and Considerations
1.2.2 Applications of Aerial Technologies in Edge Computing
1.3 Integration of Aerial Technologies with Edge Computing
1.3.1 Key Components of Integration
1.3.2 Challenges in Integration
1.4 Use Cases and Case Studies of Aerial Technologies
1.5 Technical Foundations of Edge Computing
1.5.1 Edge Computing Architecture
1.5.2 Edge Computing Networking and Communication
1.5.2.1 Networking Requirements in Edge Computing
1.5.2.2 Key Networking Technologies in Edge Computing
1.5.2.3 Communication Protocols in Edge Computing
1.6 Edge Computing Networking Architectures
1.7 Challenges in Edge Networking and Communication
1.8 AAEC in Industry and Agriculture
1.9 Security and Privacy Concerns in AAEC
1.10 Future Trends and Innovations
1.10.1 Emerging Technologies in Edge Computing
1.10.2 Future Innovations
1.11 Conclusion
Acknowledgment
References
2. Advancing Autonomous Drone Systems: The Synergy of AI and Data Science in Enhancing Drone Capabilities and Applications
Geetika Munjal, Praanjul Yadav and Amanul Haque
2.1 Introduction
2.2 Components of Drones
2.3 AI Methods in Drones
2.4 Simulation Tools for Drones
2.5 Application of Drones
2.6 Challenges
Conclusion and Future Scope
References
3. Applications of Aerial Aided Edge Computing in Disaster Management and Emergency Response, Environmental Monitoring and Conservation, Precision Agriculture and Crop Management, Infrastructure Inspection and Maintenance, Surveillance, and Public Safety
K. Lakshmi, S. Parvathavarthini and M. Thangavel
3.1 Introduction
3.2 AAEC in Disaster Management and Emergency Response
3.2.1 Impacts of AAEC on Disaster Management and Emergency Response
3.2.2 Challenges
3.2.3 Future Directions
3.3 AAEC in Environmental Monitoring and Conservation
3.3.1 Impact of AAEC in Environmental Monitoring and Conservation
3.3.2 Challenges and Future Directions
3.4 Applications of AAEC in Precision Agriculture
3.4.1 Impact of AAEC in Precision Agriculture
3.4.2 Challenges and Future Directions
3.5 Application of AAEC in Infrastructure Inspection and Maintenance
3.5.1 Impact of Applications of AAEC in Infrastructure Inspection and Maintenance
3.5.2 Challenges and Future Directions
3.6 Application of AAEC in Surveillance and Public Safety
3.6.1 Impact of AAEC in Surveillance and Public Safety
3.6.2 Challenges and Future Directions
3.7 Conclusion
Bibliography
4. Application of Aerial Edge Computing in Disaster Management
Monika Kumari, Ankit Baranwal, Sonal and Puneet Garg
4.1 Introduction
4.2 Tools of Aerial Edge Computing
4.2.1 Drones and UAVs (Unmanned Aerial Vehicles)
4.2.2 Edge Computing Hardware
4.2.3 Connectivity and Networking Tools
4.2.4 Sensor Integration
4.2.5 Cloud and Hybrid Computing Platforms
4.2.6 Artificial Intelligence and Machine Learning Tools
4.2.7 Data Analytics Tools
4.2.8 Data Storage and Management
4.2.9 Autonomous Navigation and Control
4.2.10 Security and Privacy Tools
4.3 Benefits of Aerial Edge Computing
4.4 Types of Disaster
4.4.1 Natural Disaster
4.4.2 Man Made Disasters
4.5 Phases of Disaster Management
4.5.1 Phase 1: Mitigation
4.5.2 Phase 2: Preparedness
4.5.3 Phase 3: Response
4.5.4 Phase 4: Recovery
4.6 Challenges in Aerial Edge Computing
4.6.1 Energy Efficiency and Power Constraints
4.6.2 Network Latency and Communication
4.6.3 Dynamic Mobility and Connectivity
4.6.4 Security and Privacy
4.6.5 Data Management and Storage
4.6.6 Scalability and Coordination
4.6.7 Autonomous Decision Making
4.6.8 Real-Time Processing Requirements
4.6.9 Fault Tolerance and Reliability
Conclusion
References
5. Advances in Aerial Platforms and Edge Computing
Aditi, Pragya Saraswat, Vivek Sharma and Puneet Garg
5.1 Introduction
5.1.1 Introduction to Aerial Work Platforms
5.1.2 Types of Aerial Work Platforms
5.1.3 Evolution of Aerial Systems
5.1.4 Importance of Computing in Aerial Platforms
5.1.4.1 Navigation and Flight Control
5.1.4.2 Payload Operation and Data Acquisition
5.1.4.3 Networking and Communication
5.1.4.4 Organizing and Finishing the Mission
5.1.5 The Use of Aerial Lifts For
5.2 Hardware
5.2.1 Specialized Processors
5.2.2 Embedded Systems
5.2.2.1 Embedded Systems Development and History
5.2.2.2 Types of Embedded Systems
5.3 Aerial Work Platform Framework and Operational Principle
5.4 Interfaces between Humans and Machines in Aerial Systems
5.4.1 Piloting Drones Using Augmented and Virtual Reality
5.4.1.1 Piloting Drones with Augmented Reality (AR)
5.4.1.2 Using Virtual Reality (VR) to Pilot Drones
5.4.1.3 Pilot-Friendly Wearable Technology
5.5 Edge Computing
5.6 Overview of Edge Architecture
5.7 Overview of Edge Computing in Sensing, Communication, and Planning
5.7.1 Various Aerial Work Platform Types
5.8 Review of Edge Computing Technologies
5.9 Edge Computing System and Tools
5.10 Detecting Edges
Conclusion
References
6. Resource Constraints and Energy Efficient Optimization Algorithms for Aerial Aided Edge Device
Gifty Gupta, Isha Kansal, Charu Sharma, Deepali Gupta, Kamali Gupta and Sapna Juneja
6.1 Introduction
6.1.1 Background and Motivation
6.1.2 Fundamentals of Aerial Aided Edge Devices
6.1.3 Resource Constraints in Aerial Aided Edge Devices
6.1.3.1 Types of Resources
6.1.3.2 Challenges and Limitations
6.1.4 Energy Efficiency in Aerial Aided Edge Devices
6.1.4.1 Importance and Benefits
6.1.4.2 Factors Influencing Energy Consumption
6.1.5 Optimization Algorithms for Energy Efficiency
6.1.5.1 Traditional Optimization Techniques
6.1.5.2 Machine Learning and AI-Based Algorithms
6.2 Related Work
6.3 Case Studies and Applications
6.3.1 Real-World Implementations
6.3.2 Use Cases in Various Industries
6.4 Challenges and Future Directions
6.4.1 Current Challenges and Solutions
6.4.2 Emerging Trends and Technologies
6.5 Summary of Key Findings
6.6 Recommendations for Future Research
6.7 Conclusion
References
7. Advancing Edge-Integrated IoT Systems: Unleashing the Power of AI for Energy-Efficient and Real-Time Solutions
Monica Dutta, Mudita Uppal, Deepali Gupta and Abhinav Juneja
7.1 Introduction
7.2 Machine Learning and Deep Learning for IoT
7.3 Deep Learning for IoT in Edge Computing
7.4 Implementing Deep Learning on Edge
7.4.1 IoT Hardware for Edge Computing
7.4.2 IoT Frameworks and Libraries for Edge Computing
7.4.3 IoT Applications at Edge
7.4.4 Applications of DL Algorithms in IoT Architecture
7.5 Open Challenges
7.5.1 Privacy and Security
7.5.2 Resource Management
7.5.3 Energy Management
7.6 Discussion
7.7 Future Prospects
7.8 Conclusions
References
8. Deployments of Aerial Aided Edge Computing in Real-World Scenarios
Vishnu Durai R. S., Dhivyashree M., Akshya J., M. Sundarrajan and Rajesh Kumar Dhanaraj
8.1 Introduction to Aerial Aided Edge Computing
8.1.1 Overview of the Concept
8.1.2 Significance of Aerial Aided Edge Computing
8.1.3 Current Trends in Aerial Assisted Edge Computing
8.2 Architectures and Frameworks for Aerial Edge Deployments
8.2.1 Network Architectures for Aerial Edge Deployments
8.2.2 System Models for Aerial Edge Deployments
8.2.3 Deployment Frameworks for Aerial Edge Computing
8.3 Real-World Applications and Use Cases
8.4 Challenges and Solutions in Aerial Edge Deployments
8.5 Security and Privacy in Aerial Edge Deployments
8.6 Performance Metrics and Evaluation Frameworks
8.7 Case Studies and Deployment Scenarios
8.8 Future Directions and Emerging Trends
References
9. Aerial-Aided Edge Computing: Emerging Trends and Future Directions
Hemant Upadhyay and Manisha Sharma
9.1 Introduction to Aerial-Aided Edge Computing
9.2 Current Landscape of Edge Computing
9.3 Emerging Trends in Aerial-Aided Edge Computing
9.4 Future Directions for Aerial-Aided Edge Computing
9.5 Conclusion
Bibliography
10. Security and Privacy in Aerial-Aided Edge Computing Including Encryption and Authentication Mechanisms
Ravi G., N. Manikanda Devarajan and S. Prabu
10.1 Characteristics of Cloud Computing
10.1.1 Deployment Models
10.1.1.1 Private Cloud
10.1.1.2 Public Cloud
10.1.1.3 Hybrid Cloud
10.1.1.4 Community Cloud
10.2 Cloud Architecture
10.3 Security Issues in Cloud
10.3.1 Data Storage in Cloud
10.3.2 Aspects of Data Security
10.3.3 DNA Computing
10.4 Literature Survey
10.5 Design of Proposed Work
10.6 Experimental Results and Analysis
Conclusion
Bibliography
11. Integration of Aerial-Aided Edge Technologies with Emerging Technologies
S. Parvathavarthini, K. Lakshmi, M. Pyingkodi and C. Balakumar
11.1 Introduction to Aerial Technology
11.2 Overview of Edge Technology
11.2.1 Key Features of Edge Computing
11.3 Aerial-Aided Edge Computing
11.4 Significance of Integrating Aerial Technology and Edge Technology with Emerging Technologies
11.5 Synergy between Aerial and IoT Technologies
11.5.1 Challenges in Integration of Aerial and IoT Technologies
11.6 Edge Computing Paired with IoT Technology
11.6.1 Challenges and Potential Solutions for Edge and IoT Integration
11.7 Aerial, Edge, and IoT Integration
11.7.1 Impact of Combining Aerial, Edge, and IoT Technologies
11.7.2 Future Work and Scope in Combining Aerial, Edge, and IoT
11.8 Aerial Technology and Augmented Reality Integration
11.9 Edge and AR Integration
11.10 Hybridizing Aerial, Edge, and AR
11.10.1 Challenges and Potential Solutions for Aerial, Edge and Augmented Reality Integration
11.10.2 Future Work and Scope in Combining Aerial, Edge, and Augmented Reality
11.11 Aerial and Blockchain: A Symbiotic Relationship
11.11.1 Challenges in Aerial and Blockchain Integration
11.12 Aerial, Edge, and Blockchain Integration
11.12.1 Challenges and Potential Solutions for Aerial, Edge and Block Chain Integration
11.12.2 Future Work and Scope in Combining Aerial, Edge, and Blockchain
11.13 Conclusion
References
12. Research Challenges and Opportunities
Pankaj Kumar and S. K. Singh
12.1 Introduction
12.2 Related Works
12.3 Research Challenges in Aerial-Aided Edge Computing (AAEC)
12.4 Opportunities in Aerial-Aided Edge Computing (AAEC)
12.5 Conclusion
References
13. Fusion of Aerial Networks with Advanced Computing Paradigms
Abhishek Singh, Reeta Parmar, Parul Bhardwaj, Vivek Sharma and Puneet Garg
13.1 Introduction
13.2 Aerial Technologies: A Lean Overview
13.2.1 Edge Computing: Enabling Localized Intelligence
13.3 Block Chain for Enhanced Security and Transparency
13.4 Emerging Applications
13.5 Future Directions
13.6 Summary
Bibliography
14. Integration of Aerial and Edge Technologies with Other Emerging Technologies
Urvinder Kaur, Neeraj Gupta, Neha Bhatia, Ashima Arya and Mukesh Kumar
Introduction
Edge Computing
Aerial Computing
System Architecture of Aerial Computing
Features of Aerial Computing
Network Design of Aerial Computation System
Enabling Technologies
Vertical Domain Applications
Conclusion
Acknowledgement
Bibliography
Index
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