Unmanned Aerial Vehicles in Smart Cities (Unmanned System Technologies)

✍ Scribed by Fadi Al-Turjman (editor)

• Publisher: Springer
• Year: 2020
• Tongue: English
• Leaves: 193
• Category: Library

✦ Synopsis

This book addresses the major challenges in realizing unmanned aerial vehicles (UAVs) in IoT-based Smart Cities. The challenges tackled vary from cost and energy efficiency to availability and service quality. The aim of this book is to focus on both the design and implementation aspects of the UAV-based approaches in IoT-enabled smart cities’ applications that are enabled and supported by wireless sensor networks, 5G, and beyond. The contributors mainly focus on data delivery approaches and their performability aspects. This book is meant for readers of varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies.

• Involves the most up to date unmanned aerial vehicles (UAV) assessment and evaluation approaches
  
• Includes innovative operational ideas in agriculture, surveillance, rescue, etc.
  
• Pertains researchers, scientists, engineers and practitioners in the field of smart cities, IoT, and communications

Fadi Al-Turjman received his Ph.D. from Queen’s University, Canada. He is a full professor and a research center director at Near East University, Nicosia. He is a leading authority in the area of IoT and intelligent systems. His publication history spans over 250 publications in addition to his editorialship in top journals such as the IEEE Communication Surveys and Tutorials, and the Elsevier Sustaibable Cities and Society.

✦ Table of Contents

Preface
Contents
About the Editor
A Comprehensive Review on the Use of AI in UAV Communications: Enabling Technologies, Applications, and Challenges
1 Introduction
2 Applications
2.1 Intelligent Transportation Systems (ITSs)
2.2 Agriculture
2.3 Disaster Management
2.4 Security and Surveillance
2.5 Remote Sensing and Geology
2.6 Healthcare
2.7 Military
2.8 Smart Cities
3 Applied Communication Protocols and Technologies
4 Communication Architectures
4.1 UAV Components
4.1.1 Primary Components
4.1.2 Secondary Components
5 Applied AI
5.1 Design Factors and Requirements
5.1.1 Hard Design Factors
5.1.2 Soft Design Factors
5.2 Features
5.3 Online Vs. Offline Classifications
6 Open Issues
6.1 Wireless Challenges
6.2 Security
6.3 UAV Autonomy
6.4 Deep Learning Challenges
7 Conclusions
References
UAVs Healthcare Applications, Communication Protocols, Deployment Strategies, and Security Challenges
1 Introduction
2 UAVs Application in Healthcare: A Brief Overview
3 UAVs Communication Protocols and Technologies
4 UAVs Deployment Techniques
4.1 UAVs Random Deployment
4.2 UAVs Controlled Deployment
5 UAVs Security Aspects and Issues
6 Challenges and Future Research Directions
6.1 Challenges
6.2 Future Research Trends
7 Conclusion
References
Machine Learning Applications for Internet of Flying Vehicles in Case of Critical and Environmental Cases
1 Introduction
2 Related Works
3 Suggested Framework
3.1 Severe Environmental Cases
3.2 Accidents and Emergency Cases
3.3 Real-Time Traffic Management
3.4 Crowded Events Surveillance
3.5 Deployment Aspects
4 Conclusions and Future Works
References
Trends, Issues, and Challenges in the Domain of IoT-Based Vehicular Cloud Network
1 Introduction
2 Vehicular Cloud
3 IoT-Based Vehicular Cloud Computing and Application Scenarios
4 Challenges and Currents Issues in IoT-Based Vehicular Cloud Network
4.1 Application Programming Interfaces (APIs)
4.2 Security and Privacy
4.3 Performance and Reliability
4.4 Big Data
4.5 Heterogeneity and Interoperability
4.6 Cloud-Layered Architecture and Service Models Issues and Challenges
5 Machine Learning for IoT-Based Vehicular Cloud Network
6 Blockchain for IoT-Based Vehicular Cloud Network
7 Conclusion
References
Detection and Identification of Vehicles from High-Resolution Aerial Images Using Deep Learning Approaches with the Tuned Parameters
1 Introduction
2 Literature Survey
3 Methodology
3.1 Proposed System
3.2 Pre-Processing
3.3 Region Proposal Network
4 Vehicle Classification
5 Dataset
6 Training Parameters and Implementation Details
7 Experiments and Results
8 Conclusion
References
An Efficient Palm-Dorsa-Based Approach for Vein ImageEnhancement and Feature Extraction in Cloud ComputingEnvironment
1 Introduction
2 Literature Review
3 Hardware Design Performance Evaluation
3.1 The Algorithm
3.2 The Input Vein Images
3.2.1 The Resample
3.2.2 Vein Image Segmentation
3.3 The Median Filter Implementation on Vein Images
3.4 Thinning of Vein Images
3.5 Output Vein Images
3.6 Hardware Design of Vein Image Enhancement and Feature Extraction Algorithm
4 Conclusions and Future Work
References
Leveraging Unmanned Aerial Vehicles in Mining Industry: Research Opportunities and Challenges
1 Introduction
2 Background
2.1 Potential Application of UAV in Mines
2.1.1 Mine Surveying
2.1.2 Drilling and Blasting
2.1.3 Mine Management
2.1.4 Mine Safety
2.1.5 Mine Construction
2.2 Basic Networking Architecture and Channel Characteristics
2.2.1 Control and Non-payload Communications
2.2.2 Data Link
2.2.3 UAV-Ground Communication Channel
2.2.4 UAV–UAV Communication Channel
3 Design Considerations
3.1 Optimized Path Planning
3.2 Energy Efficient Communication
4 UAV Aided Emergency Wireless Communication
4.1 Proposed Framework
4.1.1 The Design of SkyHelp
4.1.2 Wireless Channel Characteristics of Opencast Mines
4.2 SkyHelp Framework
5 Performance Evaluation and Preliminary Analysis
6 Conclusion
References
UAV and Fog Computing for IoE-Based Systems: A Case Study on Environment Disasters Prediction and Recovery Plans
1 Introduction
2 Background
2.1 Internet of Everything
2.2 Unmanned Aerial Vehicle (UAV)
2.3 Fog Computing
3 UAV-Fog Collaboration and Coordination
3.1 Collaborative UAVs
3.2 Collaborative Fogs Computing
3.3 Coordination of UAV and fog
4 UAV-Fog for Environment Disasters Management
4.1 Disaster Management Stages
4.2 Disasters Monitoring, Preparedness and Early Warning
4.2.1 Disasters Monitoring
4.2.2 Preparedness and Early Warning
4.3 Situational Awareness, Logistics and Evacuation
4.3.1 Situational Awareness
4.3.2 Logistics and Evacuation
4.4 Search and Rescue Missions
5 Conclusions
References
Drone of IoT in 6G Wireless Communications: Technology, Challenges, and Future Aspects
1 Introduction
1.1 IoT Wireless Technologies
1.2 UAVs with IoT Integration
1.3 UAV and IoT: A State of the Art
1.4 Satellite and IoT Network
2 UAVs, IoT, and Emerging 6G Technologies
2.1 Emerging Trends in Mobile Networks
2.2 Integrated Wireless Technologies
3 Technical Requirement and Specification
3.1 Network Characteristics
3.2 General Requirements in Networks
4 Key Responsibilities in 6G
5 Challenges and Future Aspects
6 Conclusion
References
Image Processing in Unmanned Aerial Vehicles
1 Introduction
2 Classification of UAV Types
3 Application Areas of UAVs
4 Image Processing in UAV Images
4.1 Analysis and Segmentation
4.2 Identification and Prediction
4.3 3D Reconstruction
5 Discussions and Conclusions
References
Index