Networked Sensing Systems

Rajesh Kumar Dhanaraj, PhD, is a distinguished professor at Symbiosis International University in Pune, India. He has authored and edited over 50 books on cutting-edge technologies and holds 21 patents. He has contributed more than 100 articles and papers to esteemed refereed journals and international conferences, along with chapters for several influential books. He has shared his expertise with the academic community through numerous tech talks on disruptive technologies. Dr. Dhanaraj is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and a member of the Computer Science Teachers Association and the International Association of Engineers. Malathy Sathyamoorthy, PhD, is an assistant professor in the Department of Information Technology at KPR Institute of Engineering and Technology, Tamil Nadu, India. She is a life member of the Indian Society for Technical Education and the International Association of Engineers. Dr. Sathyamoorthy has published extensively, including more than 25 research papers in SCI, Scopus, and ESCI-indexed journals, 22 papers in international conferences, two patents, one book, and eight book chapters. Balasubramaniam S., PhD, is a postdoctoral researcher in the Department of Applied Data Science at Noroff University College, Kristiansand, Norway, with over 15 years of experience in teaching, research, and industry. He has published over 20 research papers in SCI and Scopus-indexed journals, contributed chapters to internationally published books, and has been granted one Australian patent, one Indian patent, and three Indian patent publications. He has also presented papers at conferences and organized numerous conferences, symposiums, and seminars. Seifedine Kadry, PhD, is a professor of data science at Noroff University College, Norway. He is also an Accreditation Board for Engineering and Technology (ABET) program evaluator for computing engineering technology. Dr. Kadry is a senior member of the Institute of Electrical and Electronics Engineers (IEEE). His current research interests include data science, education through technology, system prognostics, stochastic systems, and probability and reliability analysis.

• Preface xvii1 Introduction to Network Sensing Systems in Society 5.0: Issues and Challenges 1Ankit Kumar, Anurag Kumar Kanojiya and Subitha D.1.1 What is Society 5.0? 21.2 Network Sensing Systems in Society 5.0 51.3 Issues and Challenges 61.4 Encryption and Decryption Techniques: Safeguarding Data Integrity 81.5 Understanding Interoperability on Society 5.0 101.6 Importance of Robust Communication and Power Plans 121.7 Environmental Effects and Energy Efficiency 171.8 Utilizing Renewable Energy Sources 221.9 Conclusion 24References 262 Remote and Urban Environmental Area Sensing, Connectivity Issues, and Solutions Based on Emerging Technologies 31Abinaya M., Vadivu G., Balasubramaniam S and Sundaravadivazhagan B.2.1 Introduction 322.2 Connectivity Challenges in Urban Remote Sensing 332.3 Artificial Intelligence for Enhancing Data Processing and Analysis 352.4 Case Study 372.5 Frameworks for Integrating Multiple Data Sources 452.6 The Possible Effects of Next-Generation Connectivity and 5G 522.7 Conclusion 57References 583 Efficient Network and Communication Technologies for Smart and Sustainable Society 5.0 63P. Kanaga Priya, R. Sivaranjani, Malathy Sathyamoorthy and Rajesh Kumar Dhanaraj3.1 Introduction 643.2 Literature Survey 733.3 Internet of Things for Smart Connectivity 763.4 Next-Generation Cutting Edge Communication Technologies: 5G and Beyond 803.5 Edge Computing: Decentralized Processing for Low Latency 833.6 Blockchain Technology: Securing Data Integrity and Trust 873.7 Artificial Intelligence in Network Optimization 903.8 Energy-Efficient Networking for Sustainability in Society 5.0 923.9 Challenges and Opportunities in Implementing Efficient Network Technologies 953.10 Future Directions and Recommendations 963.11 Conclusion 98References 994 Advanced Techniques for Human-Centric Sensing in Environmental Monitoring 101S. Aathilakshmi, Visali C., T. Manikandan and Seifedine Kadry4.1 Introduction 1024.2 A Basic Human-Centric Sensing Mechanism 1064.3 Types of Advanced HCS Environmental Monitoring System 1104.4 Applications in Environmental Monitoring 1134.5 Conclusion and Future Prospects 117References 1185 Energy-Aware System for Dynamic Workflow Scheduling in Cloud Data Centers: A Genetic Algorithm with DQN Approach 121Hariharan B., Anupama C.G., Ratna Kumari Neerukonda and Rajesh Kumar Dhanaraj5.1 Introduction 1225.2 Related Works 1245.3 Dynamic Workflow Scheduling System 1275.4 Problem Formulation and Proposed System Architecture 1335.5 Simulation Set-Up and Experimental Results 1365.6 Conclusion 142References 1426 Efficient Load Balancing and Resource Allocation in Networked Sensing Systems—An Algorithmic Study 145Lalitha Krishnasamy, Divya Vetriveeran, Rakoth Kandan Sambandam and Jenefa J.6.1 Introduction to the Networked Sensing Systems 1466.2 Understanding the Load Balancing Challenges 1476.3 Importance of Efficient Resource Allocation 1506.4 Overview of Existing Approaches 1516.5 Artificial Intelligence for Resource Handing 1556.6 Real-World Applications 1636.7 Performance Metrics 1656.8 Research Directions 1666.9 Conclusion and Future Work 169Acknowledgments 169References 1707 Sustainable Cities and Communities: Role of Network Sensing System in Action 173Hitesh Mohapatra, Soumya Ranjan Mishra, Amiya Kumar Rath and Manjur Kolhar7.1 Introduction 1747.2 Literature Review 1777.3 Proposed Study 1817.4 Performance Analysis 1857.5 Mapping of Topology with Smart City’s Applications 1897.6 Conclusion 195References 1968 Air Pollution Monitoring and Control Via Network Sensing Systems in Smart Cities 199S. Sharmila Devi8.1 Introduction 1998.2 Related Works 2018.3 Air Quality System 2038.4 Air Quality Monitoring Techniques 2048.5 Conventional Air Pollution Monitoring 2058.6 Wireless Sensor Network for Air Monitoring 2098.7 Architecture of Wireless Sensor Networks 2128.8 WSN-Based Air Pollution Monitoring in Smart Cities 2168.9 Conclusion 221References 2219 Interconnected Healthcare 5.0 Ecosystems: Enhancing Patient Care Using Sensor Networks 225Ashwini A., Kavitha V. and Balasubramaniam S9.1 Introduction to Healthcare 5.0 2269.2 Real-Time Monitoring Using Sensor Networks 2299.3 Advancements in Remote Patient Monitoring 2319.4 Early Disease Detection Through Sensor Networks 2359.5 Leveraging Multisensor Data for Comprehensive Health Insights 2379.6 Security Measures for Protected Health Information 2409.7 Overcoming Infrastructure and Connectivity Barriers 2419.8 Improving Treatment Plans Through Sensor-Generated Insights 2429.9 Conclusion 243References 24410 Farming 4.0: Cultivating the Future with Internet of Things Empowered on Smart Agriculture Solutions 247Ashwini A., S.R. Sriram, J. Manoj Prabhakar and Seifedine Kadry10.1 Introduction to Smart Agriculture and IoT Integration 24810.2 IoT Sensor Networks in Farming 25010.3 Smart Pest and Disease Control in Crop Production 25310.4 Automation and Robotics in Agriculture 25710.5 Cloud Computing for Agricultural Data Management 26210.6 Big Data Analytics for Predictive Farming 26410.7 Sustainable Practices with IoT in Agriculture 26610.8 The Future Landscape of Farming 4.0 26710.9 Conclusion 268References 26811 Public Safety Management in Smart Society 5.0: A Blockchain-Based Approach 273P.N. Senthil Prakash, S. Karthic and M. Saravanan11.1 Introduction 27411.2 Security Challenges in Society 5.0 27811.3 Blockchain in Society 5.0 27911.4 Conclusion 289References 29012 Virtualization of Smart Society 5.0 Using Artificial Intelligence and Virtual Reality 297Sakthivel Sankaran, M. Arun and R. Kottaimalai12.1 Introduction to Smart Society 5.0 29812.2 Foundations of Virtual Reality 30112.3 Artificial Intelligence in Smart Societies 30412.4 Integration of AI and VR 31112.5 AI and VR in Education 31412.6 Smart Society 5.0 Healthcare Innovations 31512.7 Challenges and Future Directions 31612.8 Conclusion 318References 31913 Battery Power Management Schemes Integrated with Industrial IoT for Sustainable Industry Development 323D. Karthikeyan, A. Geetha, K. Deepa and Malathy Sathyamoorthy13.1 Introduction 32413.2 Current Battery Technologies 32513.3 Battery Energy Storage and Management 32813.4 IoT and Cloud Computing Technology in BMS 33413.5 Sustainable Developments via BMS 33713.6 Conclusion 348References 34914 Trends, Advances, and Applications of Network Sensing Systems 351Ashwini A., Shamini G.I. and Balasubramaniam S14.1 Introduction to Network Sensing Systems 35214.2 Real-Time Trends in Sensor Technology 35514.3 Advancements in Data Analytics 35714.4 Applications in Healthcare 36114.5 Natural Disaster Detection with Response 36314.6 Agricultural Sensing Systems 36514.7 Intelligent Transportation Systems 36714.8 Smart City Applications 36814.9 Challenges 36914.10 Conclusion 370References 370About the Editors 375Index 377