Collective Intelligence for Smart Cities
- 1st Edition - May 26, 2022
- Imprint: Academic Press
- Authors: Chun HO WU, George To Sum Ho, Fatos Xhafa, Andrew W. H. IP, Reinout Van Hille
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 0 1 3 9 - 8
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 0 2 7 5 - 3
Collective Intelligence for Smart Cities begins with an overview of the fundamental issues and concepts of smart cities. Surveying the current state-of-the-art research in the fi… Read more
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Request a sales quoteCollective Intelligence for Smart Cities begins with an overview of the fundamental issues and concepts of smart cities. Surveying the current state-of-the-art research in the field, the book delves deeply into key smart city developments such as health and well-being, transportation, safety, energy, environment and sustainability. In addition, the book focuses on the role of IoT cloud computing and big data, specifically in smart city development. Users will find a unique, overarching perspective that ties together these concepts based on collective intelligence, a concept for quantifying mass activity familiar to many social science and life science researchers.
Sections explore how group decision-making emerges from the consensus of the collective, collaborative and competitive activities of many individuals, along with future perspectives.
- Provides collective intelligence-based solutions to enhance smart city well-being
- Recommends strategies to ensure smart city sustainability and optimization, including smart transportation
- Considers cloud-based data processing approaches for managing data collected from smart city applications
- Uses case studies to shows successful application in a variety of smart city contexts
Smart Cities researchers, scholars, and graduate students
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- List of figures and tables
- List of figures
- List of tables
- About the authors
- Acknowledgments
- Introduction
- References
- Chapter One: Data streams—Concepts, definitions, models and applications in smart cities
- Abstract
- 1.1: Introduction
- 1.2: Types of stream processing and levels of event processing
- 1.3: Stream processing models
- 1.4: Anomaly detection methods from datastreams
- 1.5: Challenges of real-time stream processing: Big data vs big data streams
- 1.6: Various levels of stream processing and their goals
- 1.7: Architecture decisions—The modern IoT client
- 1.8: Data enrichment from datastreams for enhanced reasoning
- 1.9: IoT streaming in Smart City applications: Road quality and safe driving
- References
- Chapter Two: Stream processing in the semantic web
- Abstract
- 2.1: Semantic data streams
- 2.2: Semantic stream processing
- 2.3: Reasoning over data streams
- References
- Chapter Three: State-of-the-art research and development on Smart City
- Abstract
- 3.1: Definitions of Smart City
- 3.2: Characteristics of Smart City
- 3.3: Measurement for Smart City
- 3.4: Smart City implementation: From the view of IoT and Big Data Analytics
- 3.5: Practices of smart cities
- References
- Chapter Four: Internet of things (IoT), cloud computing, and big data collective intelligence for smart cities
- Abstract
- 4.1: Introduction of smart cities
- 4.2: Integration of IoT and cloud computing in smart cities
- 4.3: Big data in smart city
- 4.4: Application areas
- 4.5: Challenges for adopting IoT, cloud computing, and big data collective intelligence in a smart city
- References
- Chapter Five: Smart energy network
- Abstract
- 5.1: Smart home
- 5.2: Status of China and foreign countries
- 5.3: Market analysis and social value
- 5.4: Overall architecture of system design
- 5.5: Smart energy network solutions
- 5.6: IoT network layer and service management application layer of smart energy network
- 5.7: Case example
- References
- Chapter Six: Smart firefighting and fire protection
- Abstract
- 6.1: Status of China
- 6.2: Market analysis and social value
- 6.3: Overall architecture of system design
- 6.4: Smart city firefighting IoT solution
- 6.5: Smart city firefighting IoT network layer
- 6.6: Firefighting IoT service management application layer
- 6.7: Conclusion
- References
- Chapter Seven: Smart parking using mobile and IoT
- Abstract
- 7.1: Introduction
- 7.2: Architecture of the IAPNP
- 7.3: Case study
- 7.4: Conclusion
- References
- Chapter Eight: Crane selection for project cargo
- Abstract
- 8.1: Introduction
- 8.2: Research methodology
- 8.3: Case study
- 8.4: Discussion
- 8.5: Conclusion
- References
- Chapter Nine: Transport, mobility, and delivery in smart cities: The vision of the TransAnalytics research project
- Abstract
- Acknowledgment
- 9.1: Introduction
- 9.2: Related work
- 9.3: Context, research problems, and challenges
- 9.4: The role of transport analytics in smart city T&M
- 9.5: Conclusions
- References
- Further reading
- Chapter Ten: Blockchain in a Smart City: Its applications and a selection framework
- Abstract
- 10.1: Introduction
- 10.2: Definition and overview of blockchain
- 10.3: Features of blockchain
- 10.4: Applications of blockchain in daily life
- 10.5: Different industrial criteria
- 10.6: A case study in blockchain selection in the context of healthcare
- 10.7: Results and limitations
- References
- Chapter Eleven: Conclusions and future directions of research
- Acronyms and glossary
- Index
- Edition: 1
- Published: May 26, 2022
- No. of pages (Paperback): 244
- No. of pages (eBook): 244
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780128201398
- eBook ISBN: 9780128202753
CW
Chun HO WU
Wu Chun Ho works in the Department of Supply Chain and Information Management at The Hang Seng University of Hong Kong, Shatin, N.T. Hong Kong.
Affiliations and expertise
Department of Supply Chain and Information Management, The Hang Seng University of Hong Kong, Shatin, N.T. Hong KongFX
Fatos Xhafa
Fatos Xhafa, PhD in Computer Science, is Full Professor at the Technical University of Catalonia (UPC), Barcelona, Spain. He has held various tenured and visiting professorship positions. He was a Visiting Professor at the University of Surrey, UK (2019/2020), Visiting Professor at the Birkbeck College, University of London, UK (2009/2010) and a Research Associate at Drexel University, Philadelphia, USA (2004/2005). He was a Distinguished Guest Professor at Hubei University of Technology, China, for the duration of three years (2016-2019). Prof. Xhafa has widely published in peer reviewed international journals, conferences/workshops, book chapters, edited books and proceedings in the field (H-index 55). He has been awarded teaching and research merits by the Spanish Ministry of Science and Education, by IEEE conferences and best paper awards. Prof. Xhafa has an extensive editorial service. He is founder and Editor-In-Chief of Internet of Things - Journal - Elsevier (Scopus and Clarivate WoS Science Citation Index) and of International Journal of Grid and Utility Computing, (Emerging Sources Citation Index), and AE/EB Member of several indexed Int'l Journals. Prof. Xhafa is a member of IEEE Communications Society, IEEE Systems, Man & Cybernetics Society and Founder Member of Emerging Technical Subcommittee of Internet of Things.
His research interests include IoT and Cloud-to-thing continuum computing, massive data processing and collective intelligence, optimization, security and trustworthy computing and machine learning, among others. He can be reached at [email protected]. Please visit also http://www.cs.upc.edu/~fatos/ and at http://dblp.uni-trier.de/pers/hd/x/Xhafa:Fatos
Affiliations and expertise
Full Professor of Computer Science, Universitat Politècnica de Catalunya (UPC), Barcelona, SpainAI
Andrew W. H. IP
Prof. Andrew W. H. Ip has more than 30 years of experience in teaching, research, education, industry and consulting. He received his PhD from Loughborough University (U.K.), MBA from Brunel University (U.K.), MSc in Industrial Engineering from Cranfield University (U.K.), and LLB (Hons) from the University of Wolverhampton (U.K.). He is now Professor Emeritus of Mechanical Engineering of University of Saskatchewan, and Principal Research Fellow in the Department of Industrial and Systems Engineering of The Hong Kong Polytechnic University. He is also Honorary Fellow of the University of Warwick, Warwick Manufacturing Group. Prof. Ip and his research team was awarded “Gold Medal with the Congratulations of Jury” and “Thailand Award for Best International Invention from The National Research Council of Thailand (NRCT)” in the 43rd International Exhibition of Inventions of Geneva. And in 2013, he obtained Natural Science Award - Second Class, presented by the Ministry of Education of Mainland China. Prof. Ip has published nearly 240 papers with over 130 papers in SCI indexed journals, and also over 130 papers in conference proceedings, and has written books and invited book chapters. He is also the Editor-in-Chief of Enterprise Information Systems, Taylor and Francis publishing, and the Editor-in-Chief and Founder of International Journal of Engineering Business Management, SAGE publication and editorial member of various international journals. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), and the Hong Kong Institution of Engineers (HKIE).
Affiliations and expertise
Professor Emeritus of Mechanical Engineering, University of Saskatchewan and Principal Research Fellow, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong KongRH
Reinout Van Hille
Affiliations and expertise
Sint-Lenaarts, Antwerp, BelgiumRead Collective Intelligence for Smart Cities on ScienceDirect