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SMART CITIES: FOUNDATIONS, PRINCIPLES, AND APPLICATIONS
Título:
SMART CITIES: FOUNDATIONS, PRINCIPLES, AND APPLICATIONS
Subtítulo:
Autor:
SONG, H
Editorial:
JOHN WILEY
Año de edición:
2017
Materia
INTELIGENCIA ARTIFICIAL - GENERAL
ISBN:
978-1-119-22639-0
Páginas:
912
150,00 €

 

Sinopsis

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