Guide to Ambient Intelligence in the IoT Environment, 1st ed. 2019
Principles, Technologies and Applications
Computer Communications and Networks Series

Language: English

58.01 €

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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.

Part I: Principles and Technologies

Ambient Intelligence in Smart City Environments: Topologies and Information Architectures
Bwalya Kelvin Joseph

The State and Future of Ambient Intelligence in Industrial IoT Environments
Wesley Doorsamy and Babu Sena Paul

Ambient Intelligence in Business Environments and the Internet of Things: Transformation Guidelines
Kadir Alpaslan Demir, Bugra Turan, Tolga Onel, Tufan Ekin, and Seda Demir

Runtime Adaptability of Ambient Intelligence Systems Based on a Component-Oriented Approach
Muhammed Cagri Kaya, Alperen Eroglu, Alper Karamanlioglu, Ertan Onur, Bedir Tekinerdogan, and Ali H. Dogru

Part II: Frameworks and Methodologies

Developing a WLAN-Based Intelligent Positioning System for Presence Detection with Limited Sensors
Ivan Nikitin, Vitaly Romanov, and Giancarlo Succi

The Need for Ambient Intelligence for Next-Generation Connected Autonomous Vehicles
Adnan Mahmood, Quan Z. Sheng, Bernard Butler, Wei Emma Zhang, and Brendan Jennings

Intelligent Control Systems for Carbon Monoxide Detection in IoT Environments
Champa Nandi, Richa Debnath, and Pragnaleena Debroy

An IoT-Based Ambient Intelligence Microcontroller for Remote Temperature Monitoring
Balwinder Raj, Jeetendra Singh, Santosh Kumar Vishvakarma, and Shailesh Singh Chouhan

Part III: Applications and Use Scenarios

Tax Services and Tax Service Providers’ Changing Roles in the IoT and AmI Environment
Güneş Çetin Gerger

Ambient Intelligence in Systems to Support the Wellbeing of Drivers
Nova Ahmed, Rahat Jahangir Rony, Md. Tanvir Mushfique, Md. Majedur Rahman, Nur E. Saba Tahsin, Sarika Azad, Sheikh Raiyan, Shahed Al Hasan, Syeda Shabnam Khan, Partho Anthony D’ Costa, and Saad Azmeen Ur Rahman

A Vision-Based Posture Monitoring System for the Elderly, Using an Intelligent Fall Detection Technique
E. Ramanujam and S. Padmavathi

21st Century Smart Facilities Management:  Ambient Networking in Intelligent Office Buildings
Alea Fairchild

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.

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