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EB

First published

Hoboken : Wiley, 2017

xxxviii, 869 stran : ilustrace (některé barevné), portréty ; 25 cm

ISBN 978-1-119-22639-0 (vázáno)

ISBN 978-1-119-22641-3 (e-kniha)

ISBN 978-1-119-22644-4 (e-kniha)

Obsahuje bibliografické odkazy a rejstřík

001462992

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 - Martino Fromhold-Eisebith // 1.1 Introduction 1 // 1.2 Setting the Scene: Demarcating the Smart City and Cyber-Physic al 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 // Final Thoughts 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 50 // Final Thoughts 51 // Questions 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-Scale Modeling and Computing for the Built Environment 66 // 3.4 Research in Modeling and Computing for the Built Environment 70 // 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 Candidate Wireless 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 Final Thoughts 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 // Final Thoughts 149 Questions 150 References 150 // 6 Wide-Area Monitoring and Control of Smart Energy Cyber-Physical Systems (CPS) 155 - Nilonjon R. Chaudhuri // 6.1 Introduction 155 // 6.2 Challenges and Opportunities 156 // 6.3 Solutions 159 // 6.4 Conclusions and Future Direction 173 Final Thoughts 175 Questions 175 References 175 // 7 Smart Technologies and Vehicle-to-X (V2X) Infrastructures for Smart Mobility Cities 151 - 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 // Final Thoughts 203 Questions 203 References 204 // 8 Smart Ecology of Cities: Integrating Development Impacts on Ecosystem Services for Land Parcels 209 - More Morrison, Rovi S. Srinivoson, and Cynnomon 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 Future Work) 234 // 8.7 Conclusion 235 Final Thoughts 236 Questions 236 References 236 // 9 Data-Driven Modeling, Control, and Tools for Smart Cities 243 - Modhur Beh! ond Rohu I Monghorom // 9.1 Introduction 245 // 9.2 Related Work 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 Final Thoughts 271 Questions 272 References 272 // 10 Bringing Named Data Networks into Smart Cities 275 - Syed Hassan Ahmed, Saldar 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 // Final Thoughts 304 Questions 304 References 304 // 11 Human Context Sensing in Smart Cities 311 - Juhi Ranjon, Erin Griffiths, ond Komin Whitehouse // 11.1 Introduction 311 // 11.2 Human Context Types 312 // 11.3 Sensing Technologies 317 // 11.4 Conclusion 331 Final Thoughts 332 Questions 332 References 333 // 12 Smart Cities and the Symbiotic Relationship between Smart Governance and Citizen Engagement 343 - Tori Okner and Russell Preston // 12.1 Smart Governance 344 // 12.2 Case Study - Somerville, Massachusetts 348 // 12.3 Looking Ahead 365 // Final Thoughts 368 Questions 370 References 370 // 13 Smart Economic Development 373 - Modhovi Venkoteson // 13.1 Introduction 373 // 13.2 Perception of Resource Value, Market Outcomes, and Price 378 // 13.3 Conscious Consumption and the Sustainability Foundation of Smart Cities 384 // Final Thoughts 388 // Questions 388 References 388 // 14 Managing the Cyber Security Life-Cycle of Smart Cities 391 - Mridul S. Borik, Anirbon Sengupta, and Chandan Mazumdar // 14.1 Introduction 391 // 14.2 Smart City Services 393 // 14.3 Smart Services Technologies 394 // 14.4 Smart Services Security Issues 396 // 14.5 Management of Cyber Security of Smart Cities 397 // 14.6 Discussion 403 // 14.7 Conclusion 404 // Questions 404 References 40S //

15 Mobility as a Service 409 - Christopher Expósito-lzquierdo, Airam Expósito-Mŕrquez, and Julio Brito-Santana // 15.1 Introduction 409 // 15.2 Mobility as a Service 413 // 15.3 Case Studies on Mobility as a Service 427 // 15.4 Conclusions and Further Research 432 Acknowledgments 433 // Final Thoughts 433 Questions 433 References 434 // 16 Clustering and Fuzzy Reasoning as Data Mining Methods for the Development of Retrofit Strategies for Building Stocks 437 - Philipp Geyer and Arno Schlueter // 16.1 Introduction 438 // 16.2 Method 440 // 16.3 Application Case 442 // 16.4 Data Sources and Preprocessing 443 // 16.5 Clustering 448 // 16.6 Fuzzy Reasoning 456 // 16.7 Mixed Fuzzy Reasoning and Clustering 459 // 16.8 Postprocessing: Interpretation and Strategy Identification 459 // 16.9 Comparison and Discussion of Methods 464 // 16.10 Conclusion 467 Final Thoughts 468 Questions 468 Acknowledgments 469 References 469 // 17 A Framework to Achieve Large Scale Energy Savings for Building Stocks through Targeted Occupancy Interventions 473 - Aslihon Koratas, Allisondro Stoiko, ond Carol C Menasso // 17.1 Introduction 474 // 17.2 Objectives 475 // 17.3 Review of Occupancy-Focused Energy Efficiency Interventions 476 // 17.4 Role of Occupants’ Characteristics in Building Energy Use 481 // 17.5 A Conceptual Framework for Delivering Targeted Occupancy-Focused Interventions 483 // 17.6 Case Study Example 490 // 17.7 Discussion 493 // 17.8 Conclusions and Policy Implications 494 // Questions 496 Acknowledgment 496 // References 496 // 18 Sustainability in Smart Cities: Balancing Social, Economic, Environmental, and Institutional Aspects of Urban Life 503 - All Komeily and Rovi Srinivoson // 18.1 Introduction 503 // 18.2 Sustainability Assessment in Our Cities 506 // 18.3 Sustainability in Smart Cities 508 // 18.4 Achieving Balanced Sustainability 512 // Final Thoughts 521 //

Questions 522 Appendix 1 522 // Appendix 2 523 References 531 // 19 Toward Resilience of the Electric Grid 535 - Jiankang Wang // 19.1 Electric Grids in Smart Cities 536 // 19.2 Threats to Electric Grids 544 // 19.3 Electric Grid Response under Threats 553 // 19.4 Defense against Threats to Electric Grids 558 // Final Thoughts 567 // Questions 568 References 568 // 20 Smart Energy and Grid: Novel Approaches for the Efficient Generation, Storage, and Usage of Energy in the Smart Home and the Smart Grid Linkup 575 - Julian Praß, Johannes Weber, Sebastian Staub, Johannes Bürner, Ralf Böhm, Thomas Braun, Moritz Hein, Markus Michl, Michael Beck, and Jörg Franke // 20.1 Introduction 576 // 20.2 Generation of Energy 576 // 20.3 Storage of Energy 581 // 20.4 Smart Usage of Energy 587 // 20.5 Summary 600 // Final Thoughts 600 Questions 601 References 601 // 21 Building Cyber-Physical Systems - A Smart Building Use Case 605 - Jupiter Bakakeu, Franziska Schäfer, Jochen Bauer, Markus Michl, and Jörg Franke // 21.1 Foundations—From Automation to Smart Homes 606 // 21.2 From Today’s Technologically Augmented Houses to Tomorrow s Smart Homes 608 // 21.3 Smart Home: A Cyber-Physical Ecosystem 612 // 21.4 Connecting Smart Homes and Smart Cities 629 // 21.5 Conclusion and Future Research Focus 631 Final Thoughts 632 // Questions 632 References 633 // 22 Climate Resilience and the Design of Smart Buildings 641 - Saranya Gunasingh, Nora Wang, Doug Ahi, and Scott Schuetter // 22.1 Climate Change and Future Buildings and Cities 642 // 22.2 Carbon Inventory and Current Goals 644 // 22.3 Incorporating Predicted Climate Variability in Building Design 646 // 22.4 Case Studies 648 // 22.5 Implications for Future Cities and Net-Zero Buildings 662 Final Thoughts 664 Questions 664 References 665 //

23 Smart Audio Sensing-Based HVAC Monitoring 669 - Shahriar Nirjon, Ravi Srinivasan, and Tamim Sookoor // 23.1 Introduction 669 // 23.2 Background 671 // 23.3 The Design of SASEM 675 // 23.4 Experimental Results 685 // Final Thoughts 689 Questions 689 Acknowledgement 690 References 690 // 24 Smart Lighting 697 - Jie Lion // 24.1 Introduction 697 // 24.2 Background 698 // 24.3 Smart Lighting Applications 699 // 24.4 Visible Light Communication (Smart Lighting Communication) System 701 // 24.5 Conclusion and Outlook 718 Final Thoughts 719 Questions 719 References 719 // 25 Large Scale Air-Quality Monitoring in Smart and Sustainable Cities 725 - Xioofon Jiang // 25.1 Introduction 726 // 25.2 Current Approaches to Air Quality Monitoring and Their Limitations 729 // 25.3 Overview of a Cloud-based Air Quality Monitoring System 731 // 25.4 Cloud-Connected Air Quality Monitors 733 // 25.5 Cloud-Side System Design and Considerations 736 // 25.6 Data Analytics in the Cloud 739 // 25.7 Applications and APIs 748 Final Thoughts 748 Questions 751 References 751 // 26 The Smart City Production System 755 - Gory Graham, Jag Srai, Patrick Hennelly, and Roy Meriton // 26.1 Introduction 755 // 26.2 Types of Production System: Historical Evolution 757 // 26.3 The Integrated Smart City Production System Framework 761 // 26.4 Production System Design 763 // 26.5 Chapter Summary 767 // Final Thoughts 768 Questions 768 References 768 // 27 Smart Health Monitoring Using Smart Systems 773 - Carl Chalmers // 27.1 Introduction 773 // 27.2 Background 775 // 27.3 Integration for Monitoring Applications 786 // 27.4 Conclusion 788 Final Thoughts 789 Questions 789 References 789 // 28 Significance of Automated Driving in Japan 793 - Sadayuki Tsugawa // 28.1 Introduction 793 // 28.2 Definitions of Automated Driving Systems 794 //

28.3 A History of Research and Development of Automated Driving Systems 795 // 28.4 Expected Benefits of Automated Driving 804 // 28.5 Issues of Automated Driving for Market Introduction 805 // 28.6 Possible Market Introduction of Automated Driving Systems in Japan 808 // 28.7 Conclusion 815 Questions 816 References 816 // 29 Environmental-Assisted Vehicular Data in Smart Cities 819 - Wei Chong, Huonyong Zheng, Jie Wu, Chiu C. Ton, ond Hoibin Ling // 29.1 Location-Related Security and Privacy Issues in Smart Cities 820 // 29.2 Opportunities of Using Environmental Evidences 822 // 29.3 Challenges of Creating Location Proofs 823 // 29.4 Environmental Evidence-Assisted Vehicular Data Framework 825 // 29.5 Conclusion 841 Final Thoughts 841 Questions 842 References 842 // Index 845