Preface xv
Acknowledgement xxi
1 Techno Agri for New Cities by Smart Irrigation 1
Rohit Rastogi, Sunil Kumar Prajapati, Shiv Kumar and Satyam Verma
1.1 Introduction 2
1.2 Literature Review 4
1.3 Components Used 6
1.4 Proposed System 8
1.5 Android Mobile Application for Smart Irrigation 11
1.5.1 Main Page 11
1.5.2 Snapshot of Working Model (ICs and Working Model) 13
1.6 Novelty 14
1.7 Future Research Work 14
1.8 Limitations 14
1.9 Conclusions 15
References 15
2 A Case Study of Command-and-Control Center- A DSS Perspective 17
Prakash B.R. and Dattasmita H.V.
2.1 Introduction 18
2.1.1 Smart City 18
2.1.1.1 Characteristics of a Decision Support System 20
2.1.2 The Critical System 20
2.1.2.1 Safety Critical System 20
2.2 Command and Control Center-A Critical System 21
2.3 Conclusion 31
References 32
3 Inverse Tree Interleavers in UAV Communications for Interference Mitigation 35
Manish Yadav, Prateek Raj Gautam and Pramod Kumar Singhal
3.1 Introduction 35
3.2 Background 36
3.3 The Problem 38
3.4 Motivation 39
3.5 Interference Mitigation Using ITI 39
3.6 Interleavers for Interference Mitigation in UAV Communications 40
3.7 Inverse Tree Interleavers in UAV Communications 42
3.8 Decision Support System (DSS) in ITI Allocation 43
3.9 ITI-Based Clustered Interleaving and DSS for Smart City Framework 44
3.10 Conclusion 47
References 47
4 Introduction to DSS System for Smart Cities 53
Kuldeep Singh Kaswan, Ravinder Gautam and Jagjit Singh Dhatterwal
4.1 Introduction 54
4.2 Smart City System Architecture 55
4.2.1 Sensing Plane 55
4.2.2 Communication Plane 55
4.2.3 Data Plane 56
4.2.4 Security Plane 56
4.3 Types of Network Sensors 57
4.3.1 Electronic Sensors 57
4.3.2 Chemical Sensors 57
4.3.3 Biosensors 57
4.3.4 Smart Grid Sensors 58
4.4 Role of Sensors in Smart Cities 58
4.4.1 Safety and Security Management 58
4.4.2 Service Delivery and Optimization 58
4.4.3 Traffic Control and Parking 58
4.4.4 Smart Building 59
4.4.5 Public Transport 59
4.4.6 Environment 59
4.4.7 Ethical Implications 60
4.5 Implications of Smart Sensors 60
4.6 Decision Modeling 60
4.7 Decision Support Systems (DSS) 63
4.7.1 Decision Support System Components 63
4.7.2 DSS Merits and Demerits 63
4.8 Chandigarh: Becoming a Smart City 64
4.8.1 Chandigarh City's SWOT Analysis 64
4.8.2 Challenges to Become the Smart City for Chandigarh 66
4.9 A Topology of Smart City Functions 67
4.9.1 Smart Economy (Competitiveness) 67
4.9.2 Smart People (Social and Human Capital) 68
4.9.3 Smart Governance (Participation) 68
4.9.4 Smart Mobility (Transport and ICT) 69
4.9.5 Smart Environment (Natural Resources) 70
4.9.6 Smart Living (Quality of Life) 71
4.10 Challenges for India's Smart Cities 71
4.11 The Government Should Focus on the Following Main Areas for the Country's Creation of Smart Cities 73
4.12 Conclusion 74
References 75
5 Evaluating Solutions to Overcome Blockchain Technology Implementation in Smart City Using a Hybrid Fuzzy SWARA-Fuzzy WASPAS Approach 77
Shivam Goyal, Vernika Agarwal and Sanskriti Goel
5.1 Introduction 78
5.2 Research Methodology 79
5.2.1 Stepwise Weight Assessment Ratio Analysis (SWARA) Method 79
5.2.2 Weighted Aggregated Sum Product Assessment (WASPAS) Method 81
5.3 Research Design 84
5.4 Application of Proposed Methodology 87
5.5 Conclusion 95
References 96
6 Identification and