© 2019

Guide to Ambient Intelligence in the IoT Environment

Principles, Technologies and Applications

  • Zaigham Mahmood
  • 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


Part of the Computer Communications and Networks book series (CCN)

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Principles and Technologies

    1. Front Matter
      Pages 1-1
    2. Kadir Alpaslan Demir, Bugra Turan, Tolga Onel, Tufan Ekin, Seda Demir
      Pages 39-67
    3. Muhammed Cagri Kaya, Alperen Eroglu, Alper Karamanlioglu, Ertan Onur, Bedir Tekinerdogan, Ali H. Dogru
      Pages 69-92
  3. Frameworks and Methodologies

    1. Front Matter
      Pages 93-93
    2. Adnan Mahmood, Bernard Butler, Quan Z. Sheng, Wei Emma Zhang, Brendan Jennings
      Pages 133-151
    3. Champa Nandi, Richa Debnath, Pragnaleena Debroy
      Pages 153-176
    4. Balwinder Raj, Jeetendra Singh, Santosh Kumar Vishvakarma, Shailesh Singh Chouhan
      Pages 177-200
  4. Applications and Use Scenarios

    1. Front Matter
      Pages 201-201
    2. Nova Ahmed, Rahat Jahangir Rony, Md. Tanvir Mushfique, Md. Majedur Rahman, Nur E. Saba Tahsin, Sarika Azad et al.
      Pages 217-247
  5. Back Matter
    Pages 291-295

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.


Ambient Intelligence Internet of Things Device Connectivity Smart Devices Security

Editors and affiliations

  • Zaigham Mahmood
    • 1
  1. 1.Debesis EducationDerbyUK

About the editors

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.

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