1st Edition
Emerging Technologies and the Application of WSN and IoT Smart Surveillance, Public Security, and Safety Challenges
The Internet of Things (IoT) has numerous applications, including smart cities, industries, cloud-based apps, smart homes, and surveillance.
The Internet of Things (IoT) enables smarter living by connecting devices, people, and objects. As networking became a crucial aspect of the Internet, rigorous design analysis led to the development of new research areas.
The Internet of Things has revolutionized daily living in countless ways. It enables communication between buildings, people, portable gadgets, and vehicles, facilitating mobility. Smart cities and cloud-based data have transformed corporate practices. With billions of connected gadgets, everything will soon be able to communicate remotely. IoT networks, whether public or private, rely significantly on machine learning and software-defined networking. Indian and other governments have approved various research projects on IoT-based networking technologies. This field of study will significantly impact society in the future.
Researchers are concerned about the many application areas and driving forces behind smart cities. The authors aim to provide insights into software-defined networking, artificial intelligence, and machine learning technologies used in IoT and networking. The framework focuses on practical applications and infrastructures. The book includes practical challenges, case studies, innovative concepts, and other factors that impact the development of realistic scenarios for smart surveillance. It also highlights innovative technology, designs, and algorithms that can accelerate the creation of smart city concepts.
This resource includes real-world applications and case studies for smart city technology, enormous data management, and machine learning prediction, all with confidentiality and safety problems.
Preface
Acknowledgements
About the Editors
List of Contributors
1. Transforming Urban Spaces and Industries: The Power of Machine Learning and Deep Learning in Smart Cities, Smart Industries, and Smart Homes
Ankita Sharma, Shalli Rani
1.1 Introduction
1.2 Motivation
1.3 Role of Machine Learning and Deep Learning in Smart Cities, Smart Homes & Smart Industries
1.4 Security Solutions
1.5 Intrusion Detection System for Automatic System
1.6 Conclusion
1.7 Future Scope
References
2. Integration Fog Computing and Wireless Sensor Network in Smart Cities
Shruti and Shalli Rani
2.1 Enlightenment of fog computing
2.2 Evolution of fog computing in smart cities
2.3 Building fog computing model in IoT for smarter cities
2.4 Application of fog model in IoT for smart cities
2.5 Analysis and results
2.6 Conclusion
References
3. Named Data Networking: Content Based Routing – Architecture, Challenges and Applications
Harshvardhan Singh Chauhan, Himanshi Babbar
3.1 Introduction
3.2 Applications of NDN
3.3 Architecture of CBR in NDN-WSN
3.4 Challenges of Content Based Routing
3.5 Real Life Case Study
3.6 Conclusion and Future Scope
References
4. Advanced Computing Technologies for Energy-Efficient and Secure IoT Network in Smart Cities: Green IoT Perspective
Shailja Kumari, Divya Gupta
4.1 Introduction
4.2 Evolution of IoT
4.3 Green IoT (GIoT): Overview
4.4 Related Work of Energy Efficiency for Green IoT
4.5 Related Work of Security Enhancement in Smart City
4.6 IoT Trends
4.7 Challenges
4.8 Conclusion
References
5. Amalgamation of 5G and Edge Computing for Latency Reduction in Metaverse Using WSN and IoT
KanwalPreet Kour, S Kanwal Deep Singh, Deepali Gupta, Kamali Gupta
5.1 Introduction
5.2 Architectural Layout and Challenges in Metaverse
5.3 Literature Review
5.4 Methodology
5.5 Latency Reduction in Metaverse by using Edge Computing
5.6 Role of 5G and 6G in Metaverse Applications
5.7 Discussion and Results
5.8 Conclusion
References
6. Blockchain Revolution: Using Distributed Ledger Technology to Transform Healthcare in WSN-IoT Environment
Shivani Wadhwa, Divya Gupta, Nagma
6.1 Introduction
6.2 WSN in healthcare
6.3 Various Capabilities of Blockchain Technology to Support Global Healthcare
6.4 Role of WSN in Blockchain and Healthcare
6.5 Projects based on Blockchain and Healthcare
6.6 Applications of Blockchain in HealthCare
6.7 Challenges
6.8 Conclusion and Future Scope
References
7. Blockchain in Internet of Medical Things: Insights on Healthcare Systems
Sushmita Sunil Jain, Saurabh M Kothari, Satyam Kumar Agrawal
7.1 Introduction
7.2 Factors responsible for limitations of blockchain technology in IoMT
7.3 Role of topologies in Blockchain network
7.4 Future of Blockchain and IoMT
7.5 Conclusion
References
8. Wireless Sensor Network-Based Automated Computer-Assisted Diagnostic Approaches for Identification of Brain Tumor Disease in IoT-Based Healthcare
Kamini Lamba, Shalli Rani
8.1 Background
8.2 Classification of Deep Learning Models for Diagnosing Brain Tumor
8.3 Deep Learning Architectures for Diagnosing Brain Tumor Disease
8.4 Innovative New Techniques for Diagnosing Brain Tumor in Smart Healthcare
8.5 New Opportunities in the 21st Century
8.6 Current challenges in IoT based Smart Healthcare
8.7 Conclusion
References
9. Machine Learning and Its Applications in Healthcare
Mohd. Akram, Pooja Sharma
9.1 Background
9.2 Machine Learning
9.3 Applications of Machine learning in Healthcare
9.4 Matrix Evaluation for Machine Learning
9.5 Conclusion
References
10. Multi-perspective Issues and Role of WSN and Different Technologies in Healthcare Information System
Renu Popli, Rajeev Kumar, Isha Kansal, Kanwal Garg, Sumit Mahana
10.1 Introduction
10.2 Requirements for Wireless Medical Sensors
10.3 Role of Different Technological Mechanisms in Health Care
10.4 Some Real Projects and Related Works
10.5 Multi-Perspective Issues in WSN With Healthcare
10.6 Conclusion and Future Scope
11. Exploring the Applictions of Wireless Sensor Networks and the Internet of Things in Agricultural and Livestock Production and Management
Anirudh K. C., Muskan Dixit, Shilpa Karat
11.1 Introduction
11.2 Literature Review
11.3 Working of IoT
11.4 Application in Agriculture and Livestock Management
11.5 Conclusion
References
12. Wireless Sensor Networks and IoT Revolutionizing Healthcare: Advancements, Applications, and Future Directions
Preeti Saini, Rakesh Ahuja, Vyasa Sai
12.1 Introduction
12.2 Overview of Machine Learning
12.3 Healthcare Applications of Machine Learning
12.4 Incorporating machine learning into healthcare
12.5 Challenges and Ethical Considerations
12.6 Success Stories and Case Studies
12.7 Future Directions and Opportunities
12.8 Conclusion
References
Biography
Dr. Shalli Rani is pursuing a postdoctoral from Manchester Metropolitan University, UK from July 2022. She is a Professor in Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India. She has 18+ years of teaching experience. She received an MCA degree from Maharishi Dyanand University, Rohtak in 2004 and an M.Tech. degree in Computer Science from Janardan Rai Nagar Vidyapeeth University, Udaipur in 2007 and a Ph.D. degree in Computer Applications from Punjab Technical University, Jalandhar in 2017. Her main area of interest and research are Wireless Sensor Networks, Underwater Sensor Networks, Machine Learning and the Internet of Things. She has published/accepted/presented more than 100+ papers in international journals /conferences (SCI+Scopus) and edited/authored five books with international publishers. She is serving as the associate editor of IEEE Future Directions Letters. She served as a guest editor in IEEE Transactions on Industrial Informatics, Hindawi WCMC, and Elsevier IoT Journals. She has also served as a reviewer in many repudiated journals of IEEE, Springer, Elsevier, IET, Hindawi, and Wiley. She has worked on Big Data, Underwater Acoustic Sensors, and IoT to show the importance of WSN in IoT applications. She received a Young Scientist award in Feb. 2014 from the Punjab Science Congress, a Lifetime Achievement Award, and a Supervisor of the Year award from Global Innovation and Excellence, in 2021.
