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Provides the foundations and principles needed for addressing the various challenges of developing smart cities
Smart cities are emerging as a priority for research and development across the world. They open up significant opportunities in several areas, such as economic growth, health, wellness, energy efficiency, and transportation, to promote the sustainable development of cities. This book provides the basics of smart cities, and it examines the possible future trends of this technology. Smart Cities: Foundations, Principles, and Applications provides a systems science perspective in presenting the foundations and principles that span multiple disciplines for the development of smart cities.
Divided into three parts-foundations, principles, and applications-Smart Cities addresses the various challenges and opportunities of creating smart cities and all that they have to offer. It also covers smart city theory modeling and simulation, and examines case studies of existing smart cities from all around the world. In addition, the book:
Addresses how to develop a smart city and how to present the state of the art and practice of them all over the world
Focuses on the foundations and principles needed for advancing the science, engineering, and technology of smart cities-including system design, system verification, real-time control and adaptation, Internet of Things, and test beds
Covers applications of smart cities as they relate to smart transportation/connected vehicle (CV) and Intelligent Transportation Systems (ITS) for improved mobility, safety, and environmental protection
Smart Cities: Foundations, Principles, and Applications is a welcome reference for the many researchers and professionals working on the development of smart cities and smart city-related industries.
Table of Contents
Editors Biographies xxiii
List of Contributors xxvii
Foreword xxxiii
Preface xxxv
Acknowledgments xxxvii
1 Cyber-Physical Systems in Smart Cities - Mastering Technological, Economic, and Social Challenges 1
Martina Fromhold-Eisebith
1.1 Introduction 1
1.2 Setting the Scene: Demarcating the Smart City and Cyber-Physical Systems 3
1.3 Process Fields of CPS-Driven Smart City Development 4
1.4 Economic and Social Challenges of Implementing the CPS-Enhanced Smart City 10
1.5 Conclusions: Suggestions for Planning the CPS-Driven Smart City 15
FinalThoughts 17
Questions 18
References 18
2 Big Data Analytics Processes and Platforms Facilitating Smart Cities 23
Pethuru Raj and Sathish A. P. Kumar
2.1 Introduction 24
2.2 Why Big Data Analytics (BDA) Is Significant for Smarter Cities 24
2.3 Describing the Big Data Paradigm 26
2.4 The Prominent Sources of Big Data 27
2.5 Describing Big Data Analytics (BDA) 29
2.6 The Big Trends and Use Cases of Big Data Analytics 31
2.7 The Open Data for Next-Generation Cities 38
2.8 The Big Data Analytics (BDA) Platforms 39
2.9 Big Data Analytics Frameworks and Infrastructure 45
2.10 Summary 51
FinalThoughts 51
References 52
3 Multi-Scale Computing for a Sustainable Built Environment 53
Massimiliano Manfren
3.1 Introduction 53
3.2 Modeling and Computing for Sustainability Transitions 55
3.3 Multi-ScaleModeling and Computing for the Built Environment 66
3.4 Research inModeling and Computing for the Built Environment 70
FinalThoughts 82
Questions 84
References 84
4 Autonomous Radios and Open Spectrum in Smart Cities 99
Corey D. Cooke and Adam L. Anderson
4.1 Introduction 99
4.2 CandidateWireless Technologies 101
4.3 PHY and MAC Layer Issues in Cognitive Radio Networks 105
4.4 Frequency Envelope Modulation (FEM) 110
4.5 Conclusion 116
FinalThoughts 117
Questions 118
References 118
5 Mobile Crowd-Sensing for Smart Cities 125
Chandreyee Chowdhury and Sarbani Roy
5.1 Introduction 125
5.2 Overview of Mobile Crowd-Sensing 127
5.3 Issues and Challenges of Crowd-sensing in Smart Cities 135
5.4 Crowd-sensing Frameworks for Smart City 144
5.5 Conclusion 149
FinalThoughts 149
Questions 150
References 150
6 Wide-AreaMonitoring and Control of Smart Energy Cyber-Physical Systems (CPS) 155
Nilanjan R. Chaudhuri
6.1 Introduction 155
6.2 Challenges and Opportunities 156
6.3 Solutions 159
6.4 Conclusions and Future Direction 173
FinalThoughts 175
Questions 175
References 175
7 Smart Technologies and Vehicle-to-X (V2X) Infrastructures for Smart Mobility Cities 181
Bernard Fong, Lixin Situ, and Alvis C. M. Fong
7.1 Introduction 181
7.2 Data Communications in Smart City Infrastructure 182
7.3 Deployment: An Economic Point of View 186
7.4 Connected Cars 195
7.5 Concluding Remarks 202
FinalThoughts 203
Questions 203
References 204
8 Smart Ecology of Cities: Integrating Development Impacts on EcosystemServices for Land Parcels 209
Marc Morrison, Ravi S. Srinivasan, and Cynnamon Dobbs
8.1 Introduction 209
8.2 Need for Smart Ecology of Cities 212
8.3 Ecosystem Service Modeling (CO2 Sequestration, PM10 Filtration, Drainage) 214
8.4 Methodology 219
8.5 Implementation of Development Impacts in Dynamic-SIM Platform 231
8.6 Discussion (Assumptions, Limitations, and FutureWork) 234
8.7 Conclusion 235
FinalThoughts 236
Questions 236
References 236
9 Data-Driven Modeling, Control, and Tools for Smart Cities 243
Madhur Behl and Rahul Mangharam
9.1 Introduction 243
9.2 RelatedWork 248
9.3 Problem Definition 250
9.4 Data-Driven Demand Response 252
9.5 DR Synthesis with Regression Trees 254
9.6 The Case for Using Regression Trees for Demand Response 259
9.7 DR-Advisor: Toolbox Design 261
9.8 Case Study 263
9.9 Conclusions and OngoingWork 271
References 272
10 Bringing Named Data Networks into Smart Cities 275
Syed Hassan Ahmed, Safdar Hussain Bouk, Dongkyun Kim, and Mahasweta Sarkar
10.1 Introduction 275
10.2 Future Internet Architectures 278
10.3 Named Data Networking (NDN) 282
10.4 NDN-based Application Scenarios for Smart Cities 285
10.5 Future Aspects of NDN in Smart Cities 297
10.6 Conclusion 303
FinalThoughts 304
Questions 304
References 304
11 Human Context Sensing in Smart Cities 311
Juhi Ranjan and KaminWhitehouse
11.1 Introduction 311
11.2 Human Context Types 312
11.3 Sensing Technologies 317
11.4 Conclusion 331
FinalThoughts 332
Questions 332
References 333
12 Smart Cities and the Symbiotic Relationship between Smart Governance and Citizen Engagement 343
Tori Onker
12.1 Smart Governance 344
12.2 Case Study - Somerville, Massachusetts 348
12.3 Looking Ahead 365
FinalThoughts 368
Questions 370
References 370
13 Smart Economic Development 373
Madhavi Venkatesan
13.1 Introduction 373
13.2 Perception of Resource Value, Market Outcomes, and Price 378
13.3 Conscious Consumption and the Sustainability Fo