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Book Description

With the increasing worldwide trend in population migration into urban centers, we are beginning to see the emergence of the kinds of mega-cities which were once the stuff of science fiction. It is clear to most urban planners and developers that accommodating the needs of the tens of millions of inhabitants of those megalopolises in an orderly and uninterrupted manner will require the seamless integration of and real-time monitoring and response services for public utilities and transportation systems. Part speculative look into the future of the world’s urban centers, part technical blueprint, this visionary book helps lay the groundwork for the communication networks and services on which tomorrow’s “smart cities” will run.

Written by a uniquely well-qualified author team, this book provides detailed insights into the technical requirements for the wireless sensor and actuator networks required to make smart cities a reality.

Table of Contents

  1. Cover
  2. List of Contributors
  3. Preface
  4. Section I: Communication Technologies for Smart Cities
    1. Chapter 1: Energy‐Harvesting Cognitive Radios in Smart Cities
      1. 1.1 Introduction
      2. 1.2 Motivations for Using Energy‐Harvesting Cognitive Radios in Smart Cities
      3. 1.3 Challenges Posed by Energy‐Harvesting Cognitive Radios in Smart Cities
      4. 1.4 Energy‐Harvesting Cognitive Internet of Things
      5. 1.5 A General Framework for EH‐CRs in the Smart City
      6. 1.6 Conclusion
      7. References
    2. Chapter 2: LTE‐D2D Communication for Power Distribution Grid: Resource Allocation for Time‐Critical Applications
      1. 2.1 Introduction
      2. 2.2 Communication Technologies for Power Distribution Grid
      3. 2.3 Overview of Communication Protocols Used in Power Distribution Networks
      4. 2.4 Power Distribution System: Distributed Automation Applications and Requirements
      5. 2.5 Analysis of Data Flow in Power Distribution Grid
      6. 2.6 LTE‐D2D for DA: Resource Allocation for Time‐Critical Applications
      7. 2.7 Conclusion
      8. References
    3. Chapter 3: 5G and Cellular Networks in the Smart Grid
      1. 3.1 Introduction
      2. 3.2 From Power Grid to Smart Grid
      3. 3.3 Smart Grid Communication Requirements
      4. 3.4 Unlicensed Spectrum and Non‐3GPP Technologies for the Support of Smart Grid
      5. 3.5 Cellular and 3GPP Technologies for the Support of Smart Grid
      6. 3.6 End‐to‐End Security in Smart Grid Communications
      7. 3.7 Conclusions and Summary
      8. References
    4. Chapter 4: Machine‐to‐Machine Communications in the Smart City—a Smart Grid Perspective
      1. 4.1 Introduction
      2. 4.2 Architecture and Characteristics of Smart Grids for Smart Cities
      3. 4.3 Intelligent Machine‐to‐Machine Communications in Smart Grids
      4. 4.4 Optimization Algorithms for Energy Production, Distribution, and Consumption
      5. 4.5 Machine Learning Techniques in Efficient Energy Services and Management
      6. 4.6 Future Perspectives
      7. 4.9 Appendix
      8. References
    5. Chapter 5: 5G and D2D Communications at the Service of Smart Cities
      1. 5.1 Introduction
      2. 5.2 Literature Review
      3. 5.3 Smart City Scenarios
      4. 5.4 Discussion
      5. 5.5 Conclusion
      6. References
  5. Section II: Emerging Communication Networks for Smart Cities
    1. Chapter 6: Software Defined Networking and Virtualization for Smart Grid
      1. 6.1 Introduction
      2. 6.2 Current Status of Power Grid and Smart Grid Modernization
      3. 6.3 Network Softwarerization in Smart Grids
      4. 6.4 Virtualization for Networks and Functions
      5. 6.5 Use Cases of SDN/NFV in the Smart Grid
      6. 6.6 Challenges and Issues with SDN/NFV‐Based Smart Grid
      7. 6.7 Conclusion
      8. References
    2. Chapter 7: GHetNet: A Framework Validating Green Mobile Femtocells in Smart‐Grids
      1. 7.1 Introduction
      2. 7.2 Related Work
      3. 7.3. System Models
      4. 7.4 The Green HetNet (GHetNet) Framework
      5. 7.5 A Case Study: E‐Mobility for Smart Grids
      6. 7.6 Conclusion
      7. References
    3. Chapter 8: Communication Architectures and Technologies for Advanced Smart Grid Services
      1. 8.1 Introduction
      2. 8.2 The Smart Grid Communication Architecture and Infrastructure
      3. 8.3 Routing Information in the Smart Grid
      4. 8.4 Conclusion
      5. References
    4. Chapter 9: Wireless Sensor Networks in Smart Cities: Applications of Channel Bonding to Meet Data Communication Requirements
      1. 9.1 Introduction, Basics, and Motivation
      2. 9.2 WSNs in Smart Cities
      3. 9.3 Channel Bonding
      4. 9.4 Applications of Channel Bonding in CRSN‐Based Smart Cities
      5. 9.5 Issues and Challenges Regarding the Implementation of Channel Bonding in Smart Cities
      6. 9.6 Conclusion
      7. References
    5. Chapter 10: A Prediction Module for Smart City IoT Platforms
      1. 10.1 Introduction
      2. 10.2 IoT Platforms for Smart Cities
      3. 10.3 Prediction Module Developed
      4. 10.4 A Use Case Employing the Traffic Sensors in Istanbul
      5. 10.5 Conclusion
      6. Acknowledgment
      7. References
  6. Section III: Renewable Energy Resources and Microgrid in Smart Cities
    1. Chapter 11: Integration of Renewable Energy Resources in the Smart Grid: Opportunities and Challenges
      1. 11.1 Introduction
      2. 11.2 The Smart Grid Paradigm
      3. 11.3 Renewable Energy Integration in the Smart Grid
      4. 11.4 Opportunities and Challenges
      5. 11.5 Case Studies
      6. 11.6 Conclusion
      7. References
    2. Chapter 12: Environmental Monitoring for Smart Buildings
      1. 12.1 Introduction
      2. 12.2 Wireless Sensor Networks in Monitoring Applications
      3. 12.3 Application Requirements and Challenges
      4. 12.4 Wireless Sensor Network Architecture
      5. 12.5 Experiments and Results
      6. 12.6 Conclusions
      7. References
    3. Chapter 13: Cooperative Energy Management in Microgrids
      1. 13.1 Introduction
      2. 13.2 The Cooperative Energy Management System Model
      3. 13.3 Evaluation and Discussion
      4. 13.4 Conclusion
      5. References
    4. Chapter 14: Optimal Planning and Performance Assessment of Multi‐Microgrid Systems in Future Smart Cities
      1. 14.1 Optimal Planning of Multi‐Microgrid Systems
      2. 14.2 Performance Assessment of Multi‐Microgrid System
      3. 14.3 Conclusions
      4. Acknowledgment
      5. References
  7. Section IV: Smart Cities, Intelligent Transportation System and Electric Vehicles
    1. Chapter 15: Wireless Charging for Electric Vehicles in the Smart Cities: Technology Review and Impact
      1. 15.1 Introduction
      2. 15.2 Review of the Wireless Charging Methods
      3. 15.3 Electrical Effect of Charging Technologies on the Grid
      4. 15.4 Scheduling Considering Charging Technologies
      5. 15.5 Conclusions and Future Guidelines
      6. References
    2. Chapter 16: Channel Access Modelling for EV Charging/Discharging Service through Vehicular ad hoc Networks (VANETs) Communications
      1. 16.1 Introduction
      2. 16.2 Technical Environment of the EV Charging/Discharging Process
      3. 16.3 Overview of Communication Technologies in the Smart Grid
      4. 16.4 Channel Access Model for EV Charging Service
      5. 16.5 Conclusions
      6. References
    3. Chapter 17: Intelligent Parking Management in Smart Cities
      1. 17.1 Introduction
      2. 17.2 Design Issues and Taxonomy of Parking Solutions
      3. 17.3 Classification of Existing Parking Systems
      4. 17.4 Participatory Sensing–Based Smart Parking
      5. 17.5. Conclusions and Future Advancements
      6. References
    4. Chapter 18: Electric Vehicle Scheduling and Charging in Smart Cities
      1. 18.1 Introduction
      2. 18.2 Smart Cities and Electric Vehicles: Motivation, Background, and Application Scenarios
      3. 18.3 EVs Recharging Approaches in Smart Cities
      4. 18.4 Scheduling EVs Recharging in Smart Cities
      5. 18.5 Open Issues, Challenges, and Future Research Directions
      6. 18.6 Conclusion
      7. References
  8. Section V: Security and Privacy Issues and Big Data in Smart Cities
    1. Chapter 19: Cyber‐Security and Resiliency of Transportation and Power Systems in Smart Cities
      1. 19.1 Introduction
      2. 19.2 EV Infrastructure and Smart Grid Integration
      3. 19.3 System Model
      4. 19.4 Estimating the Threat Levels in the EVSE Network
      5. 19.5 Response Model
      6. 19.6 Propagation Impacts on Power System Operations
      7. 19.7 Conclusion and Open Issues
      8. References
    2. Chapter 20: Protecting the Privacy of Electricity Consumers in the Smart City
      1. 20.1 Introduction
      2. 20.2 Privacy in the Smart Grid
      3. 20.3 Privacy Principles
      4. 20.4 Privacy Engineering
      5. 20.5 Privacy Risk and Impact Assessment
      6. 20.6 Privacy Enhancing Technologies
      7. Acknowledgment
      8. References
    3. Chapter 21: Privacy Preserving Power Charging Coordination Scheme in the Smart Grid
      1. 21.1 Introduction
      2. 21.2 Charging Coordination and Privacy Preservation
      3. 21.3 Privacy‐Preserving Charging Coordination Scheme
      4. 21.4 Performance Evaluation
      5. 21.5 Summary
      6. Acknowledgment
      7. References
    4. Chapter 22: Securing Smart Cities Systems and Services: A Risk‐Based Analytics‐Driven Approach
      1. 22.1 Introduction to Cybersecurity for Smart Cities
      2. 22.2 Smart Cities Enablers
      3. 22.3 Smart Cities Attack Surface
      4. 22.4 Securing Smart Cities: A Design Science Approach
      5. 22.5 NIST Cybersecurity Framework
      6. 22.6 Cybersecurity Fusion Center with Big Data Analytics
      7. 22.7 Conclusion
      8. 22.8 Table of Abbreviations
      9. References
    5. Chapter 23: Spatiotemporal Big Data Analysis for Smart Grids Based on Random Matrix Theory
      1. 23.1 Introduction
      2. 23.2 RMT: A Practical and Powerful Big Data Analysis Tool
      3. 23.3 Applications to Smart Grids
      4. 23.4 Conclusion and Future Directions
      5. References
  9. Index
  10. End User License Agreement
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