Loveleen Gaur, PhD, a full professor at Amity International Business School, Amity University, Noida is an established researcher and has filed many patents and copyrights in the area of AI/ML/IoT. She has been honored with prestigious national and international awards such as the “Senior Women Educator & Scholar Award” by National Foundation for Entrepreneurship Development on Women’s Day, “Sri Ram Award” by Delhi Management Association (DMA), and “Distinguished Research Award” by Allied Academies, Jacksonville, Florida. Vernika Agarwal, PhD, is an assistant professor (operations research) at Amity International Business School, Amity University, Noida. She has published extensively in international journals. Prasenjit Chatterjee, PhD, is the Dean (Research and Consultancy) at MCKV Institute of Engineering, West Bengal, India. He has over 120 research papers in various international journals and peer-reviewed conferences. He has authored and edited more than 15 books on intelligent decision-making, supply chain management, optimization techniques, risk, and sustainability modeling. He has received numerous awards including Best Track Paper Award, Outstanding Reviewer Award, Best Paper Award, Outstanding Researcher Award, and University Gold Medal. Dr. Chatterjee is the Editor-in-Chief of the Journal of Decision Analytics and Intelligent Computing.

• Preface xvAcknowledgement xxi1 Techno Agri for New Cities by Smart Irrigation 1Rohit Rastogi, Sunil Kumar Prajapati, Shiv Kumar and Satyam Verma1.1 Introduction 21.2 Literature Review 41.3 Components Used 61.4 Proposed System 81.5 Android Mobile Application for Smart Irrigation 111.5.1 Main Page 111.5.2 Snapshot of Working Model (ICs and Working Model) 131.6 Novelty 141.7 Future Research Work 141.8 Limitations 141.9 Conclusions 15References 152 A Case Study of Command-and-Control Center— A DSS Perspective 17Prakash B.R. and Dattasmita H.V.2.1 Introduction 182.1.1 Smart City 182.1.1.1 Characteristics of a Decision Support System 202.1.2 The Critical System 202.1.2.1 Safety Critical System 202.2 Command and Control Center—A Critical System 212.3 Conclusion 31References 323 Inverse Tree Interleavers in UAV Communications for Interference Mitigation 35Manish Yadav, Prateek Raj Gautam and Pramod Kumar Singhal3.1 Introduction 353.2 Background 363.3 The Problem 383.4 Motivation 393.5 Interference Mitigation Using ITI 393.6 Interleavers for Interference Mitigation in UAV Communications 403.7 Inverse Tree Interleavers in UAV Communications 423.8 Decision Support System (DSS) in ITI Allocation 433.9 ITI-Based Clustered Interleaving and DSS for Smart City Framework 443.10 Conclusion 47References 474 Introduction to DSS System for Smart Cities 53Kuldeep Singh Kaswan, Ravinder Gautam and Jagjit Singh Dhatterwal4.1 Introduction 544.2 Smart City System Architecture 554.2.1 Sensing Plane 554.2.2 Communication Plane 554.2.3 Data Plane 564.2.4 Security Plane 564.3 Types of Network Sensors 574.3.1 Electronic Sensors 574.3.2 Chemical Sensors 574.3.3 Biosensors 574.3.4 Smart Grid Sensors 584.4 Role of Sensors in Smart Cities 584.4.1 Safety and Security Management 584.4.2 Service Delivery and Optimization 584.4.3 Traffic Control and Parking 584.4.4 Smart Building 594.4.5 Public Transport 594.4.6 Environment 594.4.7 Ethical Implications 604.5 Implications of Smart Sensors 604.6 Decision Modeling 604.7 Decision Support Systems (DSS) 634.7.1 Decision Support System Components 634.7.2 DSS Merits and Demerits 634.8 Chandigarh: Becoming a Smart City 644.8.1 Chandigarh City’s SWOT Analysis 644.8.2 Challenges to Become the Smart City for Chandigarh 664.9 A Topology of Smart City Functions 674.9.1 Smart Economy (Competitiveness) 674.9.2 Smart People (Social and Human Capital) 684.9.3 Smart Governance (Participation) 684.9.4 Smart Mobility (Transport and ICT) 694.9.5 Smart Environment (Natural Resources) 704.9.6 Smart Living (Quality of Life) 714.10 Challenges for India’s Smart Cities 714.11 The Government Should Focus on the Following Main Areas for the Country’s Creation of Smart Cities 734.12 Conclusion 74References 755 Evaluating Solutions to Overcome Blockchain Technology Implementation in Smart City Using a Hybrid Fuzzy SWARA-Fuzzy WASPAS Approach 77Shivam Goyal, Vernika Agarwal and Sanskriti Goel5.1 Introduction 785.2 Research Methodology 795.2.1 Stepwise Weight Assessment Ratio Analysis (SWARA) Method 795.2.2 Weighted Aggregated Sum Product Assessment (WASPAS) Method 815.3 Research Design 845.4 Application of Proposed Methodology 875.5 Conclusion 95References 966 Identification and Analysis of Challenges and Their Solution in Implementation of Decision Support System (DSS) in Smart Cities 99Shreya Gupta, Shubhanshi Mittal and Vernika Agarwal6.1 Introduction 1006.2 Review of Literature 1016.3 Research Methodology 1046.3.1 Identification of Challengers and Their Solution 1046.3.2 Fuzzy TOPSIS Methodology 1076.4 Case Background 1116.5 Case Description 1126.6 Result Discussion 1136.7 Conclusion 114References 1157 Evaluation of Criteria for Implementation of Capabilities in a Smart City’s Service Supply Chain: A Teacher Trainer’s Perspective 119Vasundhara Kaul and Arshia Kaul7.1 Introduction 1207.2 Literature Review 1227.2.1 Service Supply Chain 1227.2.2 Education as a Service Supply Chain 1237.2.3 Evaluation of Educational Supply Chain 1237.2.4 Research Gap and Motivation 1247.3 Objectives 1247.4 Problem Definition 1247.5 Numerical Illustration 1267.6 Conclusion 133References 1338 Industry 5.0: Coexistence of Humans and Machines 137Sandesh Kumar Srivastava, Pallavi Goel, Anisha and Savita Sindhu8.1 Introduction 1388.1.1 Industrial Revolutions 1408.2 Literature Review 1408.2.1 Industry 4.0 Characterization 1408.2.2 Definition of Digitalization 1428.3 Requirement of Fifth Industrial Revolution 1428.4 Journey of Industry 4.0 to Industry 5.0 1448.4.1 Industry 4.0 1458.4.2 Industry 5.0 1468.5 Industrial Revolution: Changes and Advancements 1478.5.1 Big Data 1478.5.2 Changes the Fifth Industry Revolution Might Bring 1488.5.3 Working with Robots 1488.5.4 Impact of Fifth Industrial Revolution on Education 1498.5.5 Problems which the Fifth Industry Revolution Might Generate 1498.5.6 What Might Help to Solve the Problems 1498.5.7 The Role of Ethics in Industry 5.0 1508.6 Conclusion 150References 1519 Smart Child Safety Framework Using Internet of Things 153Afzal Hussain, Anisha , Pallavi Murghai Goel and Sudeshna Chakraborty9.1 Introduction 1549.1.1 Literature Background 1549.2 Technology and Sensors Used 1569.2.1 Proposed System Model and Working 1589.2.2 Implementation Phases 1609.3 Advantages 1639.4 Conclusion 1639.5 Future Scope 164References 16410 Water Content Prediction in Smart Agriculture of Rural India Using CNN and Transfer Learning Approach 167Rohit Prasan Mandal, Deepanshu Dutta, Saranya Bhattacharjee and Subhalaxmi Chakraborty10.1 Introduction 16810.2 Proposed Method 16910.2.1 Corpus Creation 16910.2.2 Data Pre-Processing 17010.2.3 Data Augmentation 17010.2.4 CNN 17110.2.5 Transfer Learning Algorithms 17110.2.5.1 VGG- 16 17210.2.5.2 VGG- 19 17210.2.5.3 Inception V 3 17310.2.5.4 Xception 17410.2.5.5 ResNet 50 17410.3 Results and Discussion 17510.3.1 Comparison of Classifiers 17510.4 Conclusion 186References 18711 Cognitiveness of 5G Technology Toward Sustainable Development of Smart Cities 189Kumari Priyanka, Gnapika Mallavaram, Archit Raj, Devasis Pradhan and Rajeswari11.1 Introduction 18911.2 Literature Review 19011.3 5G: Overview 19111.4 Smart Cities 19211.5 Cognitiveness of 5G Network 19311.5.1 Advancement of Society 19311.5.2 Industry Transformation 19411.5.3 Amalgam of Education and Entertainment 19411.6 Key Features for 5G Toward Sustainable Development of Smart Cities 19411.7 Application Enabled by 5G 19511.8 Sustainable 5G-Green Network 19711.9 Electricity Harvesting for Smart Cities 19811.10 Economic Impact of 5G Toward Sustainable Smart Cities 19911.11 5G Challenges 20011.12 Conclusion 200References 20112 Society 5.0 and Authenticity: Looking to the Future 205F.-E. Ouboutaib, A. Aitheda and S. Mekkaoui12.1 Introduction 20612.2 Theoretical Framework 20712.2.1 A Brief History of Industry 4.0 20712.2.2 Marketing Authenticity in the Society 5.0 Era: Beyond Industry 4.0 20812.3 Research Design and Methodology 21012.4 Results 21112.4.1 Measurement Model 21112.5 Conclusion 214References 216Appendix 21813 IoT-Based Smart City Applications: Infrastructure, Research and Development 219Tarush Gupta, Princy Randhawa and Nikhil Vivek Shrivas13.1 Introduction 21913.2 Different Phases of Development 22113.2.1 Investments, Research, and Planning 22113.2.2 Execution and Deployment 22213.2.3 Globalization of IoT-Based Technologies 22313.2.4 Pilot Projects and City Designs 22313.3 Current Scenario 22813.3.1 Achievements and Milestones 22813.3.2 IoT in Smart Cities 23013.4 Conclusion and Future Work 231References 231Index 235

Loveleen Gaur, PhD, a full professor at Amity International Business School, Amity University, Noida is an established researcher and has filed many patents and copyrights in the area of AI/ML/IoT. She has been honored with prestigious national and international awards such as the “Senior Women Educator & Scholar Award” by National Foundation for Entrepreneurship Development on Women’s Day, “Sri Ram Award” by Delhi Management Association (DMA), and “Distinguished Research Award” by Allied Academies, Jacksonville, Florida. Vernika Agarwal, PhD, is an assistant professor (operations research) at Amity International Business School, Amity University, Noida. She has published extensively in international journals. Prasenjit Chatterjee, PhD, is the Dean (Research and Consultancy) at MCKV Institute of Engineering, West Bengal, India. He has over 120 research papers in various international journals and peer-reviewed conferences. He has authored and edited more than 15 books on intelligent decision-making, supply chain management, optimization techniques, risk, and sustainability modeling. He has received numerous awards including Best Track Paper Award, Outstanding Reviewer Award, Best Paper Award, Outstanding Researcher Award, and University Gold Medal. Dr. Chatterjee is the Editor-in-Chief of the Journal of Decision Analytics and Intelligent Computing.

• Preface xvAcknowledgement xxi1 Techno Agri for New Cities by Smart Irrigation 1Rohit Rastogi, Sunil Kumar Prajapati, Shiv Kumar and Satyam Verma1.1 Introduction 21.2 Literature Review 41.3 Components Used 61.4 Proposed System 81.5 Android Mobile Application for Smart Irrigation 111.5.1 Main Page 111.5.2 Snapshot of Working Model (ICs and Working Model) 131.6 Novelty 141.7 Future Research Work 141.8 Limitations 141.9 Conclusions 15References 152 A Case Study of Command-and-Control Center— A DSS Perspective 17Prakash B.R. and Dattasmita H.V.2.1 Introduction 182.1.1 Smart City 182.1.1.1 Characteristics of a Decision Support System 202.1.2 The Critical System 202.1.2.1 Safety Critical System 202.2 Command and Control Center—A Critical System 212.3 Conclusion 31References 323 Inverse Tree Interleavers in UAV Communications for Interference Mitigation 35Manish Yadav, Prateek Raj Gautam and Pramod Kumar Singhal3.1 Introduction 353.2 Background 363.3 The Problem 383.4 Motivation 393.5 Interference Mitigation Using ITI 393.6 Interleavers for Interference Mitigation in UAV Communications 403.7 Inverse Tree Interleavers in UAV Communications 423.8 Decision Support System (DSS) in ITI Allocation 433.9 ITI-Based Clustered Interleaving and DSS for Smart City Framework 443.10 Conclusion 47References 474 Introduction to DSS System for Smart Cities 53Kuldeep Singh Kaswan, Ravinder Gautam and Jagjit Singh Dhatterwal4.1 Introduction 544.2 Smart City System Architecture 554.2.1 Sensing Plane 554.2.2 Communication Plane 554.2.3 Data Plane 564.2.4 Security Plane 564.3 Types of Network Sensors 574.3.1 Electronic Sensors 574.3.2 Chemical Sensors 574.3.3 Biosensors 574.3.4 Smart Grid Sensors 584.4 Role of Sensors in Smart Cities 584.4.1 Safety and Security Management 584.4.2 Service Delivery and Optimization 584.4.3 Traffic Control and Parking 584.4.4 Smart Building 594.4.5 Public Transport 594.4.6 Environment 594.4.7 Ethical Implications 604.5 Implications of Smart Sensors 604.6 Decision Modeling 604.7 Decision Support Systems (DSS) 634.7.1 Decision Support System Components 634.7.2 DSS Merits and Demerits 634.8 Chandigarh: Becoming a Smart City 644.8.1 Chandigarh City’s SWOT Analysis 644.8.2 Challenges to Become the Smart City for Chandigarh 664.9 A Topology of Smart City Functions 674.9.1 Smart Economy (Competitiveness) 674.9.2 Smart People (Social and Human Capital) 684.9.3 Smart Governance (Participation) 684.9.4 Smart Mobility (Transport and ICT) 694.9.5 Smart Environment (Natural Resources) 704.9.6 Smart Living (Quality of Life) 714.10 Challenges for India’s Smart Cities 714.11 The Government Should Focus on the Following Main Areas for the Country’s Creation of Smart Cities 734.12 Conclusion 74References 755 Evaluating Solutions to Overcome Blockchain Technology Implementation in Smart City Using a Hybrid Fuzzy SWARA-Fuzzy WASPAS Approach 77Shivam Goyal, Vernika Agarwal and Sanskriti Goel5.1 Introduction 785.2 Research Methodology 795.2.1 Stepwise Weight Assessment Ratio Analysis (SWARA) Method 795.2.2 Weighted Aggregated Sum Product Assessment (WASPAS) Method 815.3 Research Design 845.4 Application of Proposed Methodology 875.5 Conclusion 95References 966 Identification and Analysis of Challenges and Their Solution in Implementation of Decision Support System (DSS) in Smart Cities 99Shreya Gupta, Shubhanshi Mittal and Vernika Agarwal6.1 Introduction 1006.2 Review of Literature 1016.3 Research Methodology 1046.3.1 Identification of Challengers and Their Solution 1046.3.2 Fuzzy TOPSIS Methodology 1076.4 Case Background 1116.5 Case Description 1126.6 Result Discussion 1136.7 Conclusion 114References 1157 Evaluation of Criteria for Implementation of Capabilities in a Smart City’s Service Supply Chain: A Teacher Trainer’s Perspective 119Vasundhara Kaul and Arshia Kaul7.1 Introduction 1207.2 Literature Review 1227.2.1 Service Supply Chain 1227.2.2 Education as a Service Supply Chain 1237.2.3 Evaluation of Educational Supply Chain 1237.2.4 Research Gap and Motivation 1247.3 Objectives 1247.4 Problem Definition 1247.5 Numerical Illustration 1267.6 Conclusion 133References 1338 Industry 5.0: Coexistence of Humans and Machines 137Sandesh Kumar Srivastava, Pallavi Goel, Anisha and Savita Sindhu8.1 Introduction 1388.1.1 Industrial Revolutions 1408.2 Literature Review 1408.2.1 Industry 4.0 Characterization 1408.2.2 Definition of Digitalization 1428.3 Requirement of Fifth Industrial Revolution 1428.4 Journey of Industry 4.0 to Industry 5.0 1448.4.1 Industry 4.0 1458.4.2 Industry 5.0 1468.5 Industrial Revolution: Changes and Advancements 1478.5.1 Big Data 1478.5.2 Changes the Fifth Industry Revolution Might Bring 1488.5.3 Working with Robots 1488.5.4 Impact of Fifth Industrial Revolution on Education 1498.5.5 Problems which the Fifth Industry Revolution Might Generate 1498.5.6 What Might Help to Solve the Problems 1498.5.7 The Role of Ethics in Industry 5.0 1508.6 Conclusion 150References 1519 Smart Child Safety Framework Using Internet of Things 153Afzal Hussain, Anisha , Pallavi Murghai Goel and Sudeshna Chakraborty9.1 Introduction 1549.1.1 Literature Background 1549.2 Technology and Sensors Used 1569.2.1 Proposed System Model and Working 1589.2.2 Implementation Phases 1609.3 Advantages 1639.4 Conclusion 1639.5 Future Scope 164References 16410 Water Content Prediction in Smart Agriculture of Rural India Using CNN and Transfer Learning Approach 167Rohit Prasan Mandal, Deepanshu Dutta, Saranya Bhattacharjee and Subhalaxmi Chakraborty10.1 Introduction 16810.2 Proposed Method 16910.2.1 Corpus Creation 16910.2.2 Data Pre-Processing 17010.2.3 Data Augmentation 17010.2.4 CNN 17110.2.5 Transfer Learning Algorithms 17110.2.5.1 VGG- 16 17210.2.5.2 VGG- 19 17210.2.5.3 Inception V 3 17310.2.5.4 Xception 17410.2.5.5 ResNet 50 17410.3 Results and Discussion 17510.3.1 Comparison of Classifiers 17510.4 Conclusion 186References 18711 Cognitiveness of 5G Technology Toward Sustainable Development of Smart Cities 189Kumari Priyanka, Gnapika Mallavaram, Archit Raj, Devasis Pradhan and Rajeswari11.1 Introduction 18911.2 Literature Review 19011.3 5G: Overview 19111.4 Smart Cities 19211.5 Cognitiveness of 5G Network 19311.5.1 Advancement of Society 19311.5.2 Industry Transformation 19411.5.3 Amalgam of Education and Entertainment 19411.6 Key Features for 5G Toward Sustainable Development of Smart Cities 19411.7 Application Enabled by 5G 19511.8 Sustainable 5G-Green Network 19711.9 Electricity Harvesting for Smart Cities 19811.10 Economic Impact of 5G Toward Sustainable Smart Cities 19911.11 5G Challenges 20011.12 Conclusion 200References 20112 Society 5.0 and Authenticity: Looking to the Future 205F.-E. Ouboutaib, A. Aitheda and S. Mekkaoui12.1 Introduction 20612.2 Theoretical Framework 20712.2.1 A Brief History of Industry 4.0 20712.2.2 Marketing Authenticity in the Society 5.0 Era: Beyond Industry 4.0 20812.3 Research Design and Methodology 21012.4 Results 21112.4.1 Measurement Model 21112.5 Conclusion 214References 216Appendix 21813 IoT-Based Smart City Applications: Infrastructure, Research and Development 219Tarush Gupta, Princy Randhawa and Nikhil Vivek Shrivas13.1 Introduction 21913.2 Different Phases of Development 22113.2.1 Investments, Research, and Planning 22113.2.2 Execution and Deployment 22213.2.3 Globalization of IoT-Based Technologies 22313.2.4 Pilot Projects and City Designs 22313.3 Current Scenario 22813.3.1 Achievements and Milestones 22813.3.2 IoT in Smart Cities 23013.4 Conclusion and Future Work 231References 231Index 235

Loveleen Gaur, PhD, a full professor at Amity International Business School, Amity University, Noida is an established researcher and has filed many patents and copyrights in the area of AI/ML/IoT. She has been honored with prestigious national and international awards such as the “Senior Women Educator & Scholar Award” by National Foundation for Entrepreneurship Development on Women’s Day, “Sri Ram Award” by Delhi Management Association (DMA), and “Distinguished Research Award” by Allied Academies, Jacksonville, Florida. Vernika Agarwal, PhD, is an assistant professor (operations research) at Amity International Business School, Amity University, Noida. She has published extensively in international journals. Prasenjit Chatterjee, PhD, is the Dean (Research and Consultancy) at MCKV Institute of Engineering, West Bengal, India. He has over 120 research papers in various international journals and peer-reviewed conferences. He has authored and edited more than 15 books on intelligent decision-making, supply chain management, optimization techniques, risk, and sustainability modeling. He has received numerous awards including Best Track Paper Award, Outstanding Reviewer Award, Best Paper Award, Outstanding Researcher Award, and University Gold Medal. Dr. Chatterjee is the Editor-in-Chief of the Journal of Decision Analytics and Intelligent Computing.

• Preface xvAcknowledgement xxi1 Techno Agri for New Cities by Smart Irrigation 1Rohit Rastogi, Sunil Kumar Prajapati, Shiv Kumar and Satyam Verma1.1 Introduction 21.2 Literature Review 41.3 Components Used 61.4 Proposed System 81.5 Android Mobile Application for Smart Irrigation 111.5.1 Main Page 111.5.2 Snapshot of Working Model (ICs and Working Model) 131.6 Novelty 141.7 Future Research Work 141.8 Limitations 141.9 Conclusions 15References 152 A Case Study of Command-and-Control Center— A DSS Perspective 17Prakash B.R. and Dattasmita H.V.2.1 Introduction 182.1.1 Smart City 182.1.1.1 Characteristics of a Decision Support System 202.1.2 The Critical System 202.1.2.1 Safety Critical System 202.2 Command and Control Center—A Critical System 212.3 Conclusion 31References 323 Inverse Tree Interleavers in UAV Communications for Interference Mitigation 35Manish Yadav, Prateek Raj Gautam and Pramod Kumar Singhal3.1 Introduction 353.2 Background 363.3 The Problem 383.4 Motivation 393.5 Interference Mitigation Using ITI 393.6 Interleavers for Interference Mitigation in UAV Communications 403.7 Inverse Tree Interleavers in UAV Communications 423.8 Decision Support System (DSS) in ITI Allocation 433.9 ITI-Based Clustered Interleaving and DSS for Smart City Framework 443.10 Conclusion 47References 474 Introduction to DSS System for Smart Cities 53Kuldeep Singh Kaswan, Ravinder Gautam and Jagjit Singh Dhatterwal4.1 Introduction 544.2 Smart City System Architecture 554.2.1 Sensing Plane 554.2.2 Communication Plane 554.2.3 Data Plane 564.2.4 Security Plane 564.3 Types of Network Sensors 574.3.1 Electronic Sensors 574.3.2 Chemical Sensors 574.3.3 Biosensors 574.3.4 Smart Grid Sensors 584.4 Role of Sensors in Smart Cities 584.4.1 Safety and Security Management 584.4.2 Service Delivery and Optimization 584.4.3 Traffic Control and Parking 584.4.4 Smart Building 594.4.5 Public Transport 594.4.6 Environment 594.4.7 Ethical Implications 604.5 Implications of Smart Sensors 604.6 Decision Modeling 604.7 Decision Support Systems (DSS) 634.7.1 Decision Support System Components 634.7.2 DSS Merits and Demerits 634.8 Chandigarh: Becoming a Smart City 644.8.1 Chandigarh City’s SWOT Analysis 644.8.2 Challenges to Become the Smart City for Chandigarh 664.9 A Topology of Smart City Functions 674.9.1 Smart Economy (Competitiveness) 674.9.2 Smart People (Social and Human Capital) 684.9.3 Smart Governance (Participation) 684.9.4 Smart Mobility (Transport and ICT) 694.9.5 Smart Environment (Natural Resources) 704.9.6 Smart Living (Quality of Life) 714.10 Challenges for India’s Smart Cities 714.11 The Government Should Focus on the Following Main Areas for the Country’s Creation of Smart Cities 734.12 Conclusion 74References 755 Evaluating Solutions to Overcome Blockchain Technology Implementation in Smart City Using a Hybrid Fuzzy SWARA-Fuzzy WASPAS Approach 77Shivam Goyal, Vernika Agarwal and Sanskriti Goel5.1 Introduction 785.2 Research Methodology 795.2.1 Stepwise Weight Assessment Ratio Analysis (SWARA) Method 795.2.2 Weighted Aggregated Sum Product Assessment (WASPAS) Method 815.3 Research Design 845.4 Application of Proposed Methodology 875.5 Conclusion 95References 966 Identification and Analysis of Challenges and Their Solution in Implementation of Decision Support System (DSS) in Smart Cities 99Shreya Gupta, Shubhanshi Mittal and Vernika Agarwal6.1 Introduction 1006.2 Review of Literature 1016.3 Research Methodology 1046.3.1 Identification of Challengers and Their Solution 1046.3.2 Fuzzy TOPSIS Methodology 1076.4 Case Background 1116.5 Case Description 1126.6 Result Discussion 1136.7 Conclusion 114References 1157 Evaluation of Criteria for Implementation of Capabilities in a Smart City’s Service Supply Chain: A Teacher Trainer’s Perspective 119Vasundhara Kaul and Arshia Kaul7.1 Introduction 1207.2 Literature Review 1227.2.1 Service Supply Chain 1227.2.2 Education as a Service Supply Chain 1237.2.3 Evaluation of Educational Supply Chain 1237.2.4 Research Gap and Motivation 1247.3 Objectives 1247.4 Problem Definition 1247.5 Numerical Illustration 1267.6 Conclusion 133References 1338 Industry 5.0: Coexistence of Humans and Machines 137Sandesh Kumar Srivastava, Pallavi Goel, Anisha and Savita Sindhu8.1 Introduction 1388.1.1 Industrial Revolutions 1408.2 Literature Review 1408.2.1 Industry 4.0 Characterization 1408.2.2 Definition of Digitalization 1428.3 Requirement of Fifth Industrial Revolution 1428.4 Journey of Industry 4.0 to Industry 5.0 1448.4.1 Industry 4.0 1458.4.2 Industry 5.0 1468.5 Industrial Revolution: Changes and Advancements 1478.5.1 Big Data 1478.5.2 Changes the Fifth Industry Revolution Might Bring 1488.5.3 Working with Robots 1488.5.4 Impact of Fifth Industrial Revolution on Education 1498.5.5 Problems which the Fifth Industry Revolution Might Generate 1498.5.6 What Might Help to Solve the Problems 1498.5.7 The Role of Ethics in Industry 5.0 1508.6 Conclusion 150References 1519 Smart Child Safety Framework Using Internet of Things 153Afzal Hussain, Anisha , Pallavi Murghai Goel and Sudeshna Chakraborty9.1 Introduction 1549.1.1 Literature Background 1549.2 Technology and Sensors Used 1569.2.1 Proposed System Model and Working 1589.2.2 Implementation Phases 1609.3 Advantages 1639.4 Conclusion 1639.5 Future Scope 164References 16410 Water Content Prediction in Smart Agriculture of Rural India Using CNN and Transfer Learning Approach 167Rohit Prasan Mandal, Deepanshu Dutta, Saranya Bhattacharjee and Subhalaxmi Chakraborty10.1 Introduction 16810.2 Proposed Method 16910.2.1 Corpus Creation 16910.2.2 Data Pre-Processing 17010.2.3 Data Augmentation 17010.2.4 CNN 17110.2.5 Transfer Learning Algorithms 17110.2.5.1 VGG- 16 17210.2.5.2 VGG- 19 17210.2.5.3 Inception V 3 17310.2.5.4 Xception 17410.2.5.5 ResNet 50 17410.3 Results and Discussion 17510.3.1 Comparison of Classifiers 17510.4 Conclusion 186References 18711 Cognitiveness of 5G Technology Toward Sustainable Development of Smart Cities 189Kumari Priyanka, Gnapika Mallavaram, Archit Raj, Devasis Pradhan and Rajeswari11.1 Introduction 18911.2 Literature Review 19011.3 5G: Overview 19111.4 Smart Cities 19211.5 Cognitiveness of 5G Network 19311.5.1 Advancement of Society 19311.5.2 Industry Transformation 19411.5.3 Amalgam of Education and Entertainment 19411.6 Key Features for 5G Toward Sustainable Development of Smart Cities 19411.7 Application Enabled by 5G 19511.8 Sustainable 5G-Green Network 19711.9 Electricity Harvesting for Smart Cities 19811.10 Economic Impact of 5G Toward Sustainable Smart Cities 19911.11 5G Challenges 20011.12 Conclusion 200References 20112 Society 5.0 and Authenticity: Looking to the Future 205F.-E. Ouboutaib, A. Aitheda and S. Mekkaoui12.1 Introduction 20612.2 Theoretical Framework 20712.2.1 A Brief History of Industry 4.0 20712.2.2 Marketing Authenticity in the Society 5.0 Era: Beyond Industry 4.0 20812.3 Research Design and Methodology 21012.4 Results 21112.4.1 Measurement Model 21112.5 Conclusion 214References 216Appendix 21813 IoT-Based Smart City Applications: Infrastructure, Research and Development 219Tarush Gupta, Princy Randhawa and Nikhil Vivek Shrivas13.1 Introduction 21913.2 Different Phases of Development 22113.2.1 Investments, Research, and Planning 22113.2.2 Execution and Deployment 22213.2.3 Globalization of IoT-Based Technologies 22313.2.4 Pilot Projects and City Designs 22313.3 Current Scenario 22813.3.1 Achievements and Milestones 22813.3.2 IoT in Smart Cities 23013.4 Conclusion and Future Work 231References 231Index 235