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Computer Communications and Networks

Guide to Ambient Intelligence in the IoT Environment

Principles, Technologies and Applications

Editors: Mahmood, Zaigham (Ed.)

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  • Reviews the latest research, developments and practices with respect to ambient intelligence in the IoT environment
  • Presents case studies describing challenges, best practices and solutions
  • Provides a comprehensive reference for students, researchers and practitioners in the area of distributed computing
  • Includes corporate analyses, presenting a balanced view that discusses both current developments and future directions
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eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-030-04173-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $69.99
price for USA in USD
  • ISBN 978-3-030-04172-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Ambient intelligence (AmI) is an element of pervasive computing that brings smartness to living and business environments to make them more sensitive, adaptive, autonomous and personalized to human needs. It refers to intelligent interfaces that recognise human presence and preferences, and adjust smart environments to suit their immediate needs and requirements. The key factor is the presence of intelligence and decision-making capabilities in IoT environments. The underlying technologies include pervasive computing, ubiquitous communication, seamless connectivity of smart devices, sensor networks, artificial intelligence (AI), machine learning (ML) and context-aware human-computer interaction (HCI). AmI applications and scenarios include smart homes, autonomous self-driving vehicles, healthcare systems, smart roads, the industry sector, smart facilities management, the education sector, emergency services, and many more. The advantages of AmI in the IoT environment are extensive. However, as for any new technological paradigm, there are also many open issues and limitations. This book discusses the AmI element of the IoT and the relevant principles, frameworks, and technologies in particular, as well as the benefits and inherent limitations. It reviews the state of the art of current developments relating to smart spaces and AmI-based IoT environments. Written by leading international researchers and practitioners, the majority of the contributions focus on device connectivity, pervasive computing and context modelling (including communication, security, interoperability, scalability, and adaptability). The book presents cutting-edge research, current trends, and case studies, as well as suggestions to further our understanding and the development and enhancement of the AmI-IoT vision.

About the authors

Prof. Dr. Zaigham Mahmood is a Senior Technology Consultant at Debesis Education UK and a Professor at the Shijiazhuang Tiedao University in Hebei, China. He also holds positions as Foreign Professor at NUST and IIU in Islamabad, Pakistan. He previously served as a Reader (Associate Professor) at the University of Derby, UK, and Professor Extraordinaire at the North West University Potchefstroom, South Africa. His many publications include the Springer titles Fog Computing, Smart Cities, Connected Environments for the Internet of Things, Software Project Management for Distributed Computing,Requirements Engineering for Service and Cloud Computing, Connectivity Frameworks for Smart Devices, Data Science and Big Data Computing, Cloud Computing: Challenges, Limitations and R&D Solutions, Continued Rise of the Cloud, Cloud Computing: Methods and Practical Approaches, Software Engineering Frameworks for the Cloud Computing Paradigm, and Cloud Computing for Enterprise Architectures.

Table of contents (12 chapters)

Table of contents (12 chapters)
  • Ambient Intelligence in Smart City Environments: Topologies and Information Architectures

    Pages 3-22

    Bwalya, Kelvin Joseph

  • The State and Future of Ambient Intelligence in Industrial IoT Environments

    Pages 23-37

    Doorsamy, Wesley (et al.)

  • Ambient Intelligence in Business Environments and Internet of Things Transformation Guidelines

    Pages 39-67

    Demir, Kadir Alpaslan (et al.)

  • Runtime Adaptability of Ambient Intelligence Systems Based on Component-Oriented Approach

    Pages 69-92

    Kaya, Muhammed Cagri (et al.)

  • Developing WLAN-Based Intelligent Positioning System for Presence Detection with Limited Sensors

    Pages 95-131

    Nikitin, Ivan (et al.)

Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-030-04173-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $69.99
price for USA in USD
  • ISBN 978-3-030-04172-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Guide to Ambient Intelligence in the IoT Environment
Book Subtitle
Principles, Technologies and Applications
Editors
  • Zaigham Mahmood
Series Title
Computer Communications and Networks
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-04173-1
DOI
10.1007/978-3-030-04173-1
Hardcover ISBN
978-3-030-04172-4
Series ISSN
1617-7975
Edition Number
1
Number of Pages
XXIII, 295
Number of Illustrations
30 b/w illustrations, 61 illustrations in colour
Topics