INTELLIGENT DECISION SUPPORT SYSTEMS FOR SMART CITY APPLICATIONS This book provides smart city frameworks to address new difficulties by adding new features and allowing the city environment to react to collected data and information to increase the efficiency and sustainability of services for inhabitants. Making a smart city is an emerging strategy to mitigate the problems generated by urban population growth and rapid urbanization. This book aims to provide a better understanding of the concept of smart cities and the application of an intelligent decision support system. Based on the…mehr
INTELLIGENT DECISION SUPPORT SYSTEMS FOR SMART CITY APPLICATIONS
This book provides smart city frameworks to address new difficulties by adding new features and allowing the city environment to react to collected data and information to increase the efficiency and sustainability of services for inhabitants.
Making a smart city is an emerging strategy to mitigate the problems generated by urban population growth and rapid urbanization. This book aims to provide a better understanding of the concept of smart cities and the application of an intelligent decision support system. Based on the analysis of existing information there are eight critical factors of smart city initiatives: management and organization, technology, governance, policy context, people and communities, economy, built infrastructure, and natural environment. This book will focus on the application of the decision support system in managing these eight crucial aspects of smart cities.
The intent in writing this book was also to provide a source that covers the stage-by-stage integration of the four key areas involving planning, physical infrastructure, ICT infrastructure, and deploying the smart solutions necessary for city transformation. With this as the motivation, "Decision Support Systems for Smart City Applications" provides the application of an intelligent decision support system for effectively and efficiently managing the transformation process, which can aid various supply chain stakeholders, academic researchers, and related professionals in building smart cities. Various chapters of this book are expected to support practicing managers during the implementation of smart solutions for city transformation.
Audience
This book is aimed at both academics and practitioners alike in the fields of intelligent computing, decision support systems, the manufacturing industry, supply chain managers, stakeholders, policymakers, and other technical and administrative personnel.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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
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
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