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Book Description

Smart Cities and Homes: Key Enabling Technologies explores the fundamental principles and concepts of the key enabling technologies for smart cities and homes, disseminating the latest research and development efforts in the field through the use of numerous case studies and examples.

Smart cities use digital technologies embedded across all their functions to enhance the wellbeing of citizens. Cities that utilize these technologies report enhancements in power efficiency, water use, traffic congestion, environmental protection, pollution reduction, senior citizens care, public safety and security, literacy rates, and more.

This book brings together the most important breakthroughs and advances in a coherent fashion, highlighting the interconnections between the works in different areas of computing, exploring both new and emerging computer networking systems and other computing technologies, such as wireless sensor networks, vehicle ad hoc networks, smart girds, cloud computing, and data analytics and their roles in creating environmentally friendly, secure, and prosperous cities and homes.

Intended for researchers and practitioners, the book discusses the pervasive and cooperative computing technologies that will perform a central role for handling the challenges of urbanization and demographic change.

  • Includes case studies and contributions from prominent researchers and practitioners from around the globe
  • Explores the latest methodologies, theories, tools, applications, trends, challenges, and strategies needed to build smart cities and homes from the bottom up
  • Provides a pedagogy that includes PowerPoint slides, key terms, and a comprehensive bibliography

Table of Contents

  1. Cover
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedications
  6. List of Contributors
  7. About the Editors
  8. Preface
  9. Acknowledgments
  10. Chapter 1: Introduction and overview of key enabling technologies for smart cities and homes
    1. Abstract
    2. 1. Introduction
    3. 2. Trends in smart cities and homes
    4. 3. Challenges in smart cities and homes
    5. 4. Survey of major key enabling technologies for smart cities and homes
    6. 5. Examples
    7. 6. Conclusions
  11. Chapter 2: Wireless sensor networks applications to smart homes and cities
    1. Abstract
    2. 1. Introduction
    3. 2. WSN applications examples
    4. 3. Access technologies
    5. 4. Routing strategies
    6. 5. Power-saving methods
    7. 6. Security
    8. 7. Summary
  12. Chapter 3: Software defined things: a green network management for future smart city architectures
    1. Abstract
    2. 1. Introduction
    3. 2. Smart city data plane challenges
    4. 3. Software defined network-based smart city network management
    5. 4. Software defined things framework
    6. 5. Conclusions and future research
  13. Chapter 4: Nomadic service discovery in smart cities
    1. Abstract
    2. 1. Introduction
    3. 2. Related work
    4. 3. mDNS/DNS-SD service discovery
    5. 4. Proxy support for sleeping nodes
    6. 5. Support for context queries
    7. 6. Future work: packet size
    8. 7. Conclusions
    9. Acknowledgment
  14. Chapter 5: A survey on enabling wireless local area network technologies for smart cities
    1. Abstract
    2. 1. Introduction
    3. 2. Development of IEEE 802.11
    4. 3. Smart city solutions
    5. 4. Requirements
  15. Chapter 6: LTE and 5G systems
    1. Abstract
    2. 1. Introduction
    3. 2. Cellular network evolution
    4. 3. Handover management
    5. 4. Empirical case: smart cities
    6. 5. Conclusions
  16. Chapter 7: Cars as a main ICT resource of smart cities
    1. Abstract
    2. 1. Introduction
    3. 2. Related work
    4. 3. The Car4ICT concept
    5. 4. Simulative performance evaluation
    6. 5. Simulation study
    7. 6. Conclusions
  17. Chapter 8: From vehicular networks to vehicular clouds in smart cities
    1. Abstract
    2. 1. Introduction
    3. 2. Vanet architecture
    4. 3. Vehicular cloud infrastructure
    5. 4. VANET challenges and solutions in smart cities
    6. 5. Vehicular clouds challenges and solutions in smart cities
    7. 6. Open issues and future directions in vehicular smart city systems
    8. 7. Summary
  18. Chapter 9: Smart home cybersecurity considering the integration of renewable energy
    1. Abstract
    2. 1. Introduction
    3. 2. Preliminaries
    4. 3. Energy load prediction considering net metering
    5. 4. Impact of net metering to pricing cyberattack detection
    6. 5. Simulation results
    7. 6. Conclusions
  19. Chapter 10: Smart home scheduling and cybersecurity: fundamentals
    1. Abstract
    2. 1. Introduction
    3. 2. Smart home system preliminaries
    4. 3. Pricing cyberattacks
    5. 4. Single event detection technology
    6. 5. Long-term detection technique
    7. 6. Case study for long-term detection technique
    8. 7. Simulation
    9. 8. Conclusions
  20. Chapter 11: Advanced optical network architecture for the next generation internet access
    1. Abstract
    2. 1. Introduction
    3. 2. PANDA architecture
    4. 3. Aggregation and prediction of traffic
    5. 4. DBA simulation and results
    6. 5. Conclusions
    7. Acknowledgment
  21. Chapter 12: Cloud computing systems for smart cities and homes
    1. Abstract
    2. 1. Introduction
    3. 2. Cloud computing fundamentals
    4. 3. Cloud computing applications
    5. 4. Case study: Seoul smart city
    6. 5. Summary and concluding remarks
  22. Chapter 13: Design and management of vehicle-sharing systems: a survey of algorithmic approaches
    1. Abstract
    2. 1. Introduction
    3. 2. Challenges and objectives in the design of vehicle-sharing systems
    4. 3. Models and algorithmic approaches for optimizing vehicle sharing systems
    5. 4. Algorithms for ride sharing
    6. 5. Research challenges and future prospects
    7. 6. Conclusions
    8. Acknowledgment
  23. Chapter 14: Smart transportation systems (STSs) in critical conditions
    1. Abstract
    2. 1. Introduction
    3. 2. Smart transportation systems
    4. 3. Network design for smart transportation systems in critical conditions
    5. 4. Software-defined networking
    6. 5. QoS applications for STS
    7. 6. Incremental deployment of STS–SDN solution
    8. 7. Conclusions
  24. Chapter 15: Optimization classification and techniques of WSNs in smart grid
    1. Abstract
    2. 1. Introduction
    3. 2. Optimization primer
    4. 3. Types of objectives and optimization techniques in smart grid paradigm
    5. 4. Constraints considered while formulating optimization problems in smart grid paradigm
    6. 5. Optimization solution types and related simulation tools in smart grid paradigm
    7. 6. Conclusions and discussions
  25. Chapter 16: Docit: an integrated system for risk-averse multimodal journey advising
    1. Abstract
    2. 1. Introduction
    3. 2. The power of uncertainty-aware plans
    4. 3. System overview
    5. 4. Aggregating network data
    6. 5. The policies
    7. 6. Integration with IBM IIT and IBM IOC
    8. 7. Conclusions
    9. Glossary
  26. Chapter 17: Smart restaurants: survey on customer demand and sales forecasting
    1. Abstract
    2. 1. Introduction
    3. 2. Revenue management
    4. 3. Literature review
    5. 4. Discussion of methods and data mining algorithms
    6. 5. Concluding remarks
    7. Acknowledgment
  27. Author Index
  28. Subject Index
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