Guide to Ambient Intelligence in the IoT Environment: Principles, Technologies and Applications

Description

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. Front Matter ....Pages i-xxiii Front Matter ....Pages 1-1 Ambient Intelligence in Smart City Environments: Topologies and Information Architectures (Kelvin Joseph Bwalya)....Pages 3-22 The State and Future of Ambient Intelligence in Industrial IoT Environments (Wesley Doorsamy, Babu Sena Paul)....Pages 23-37 Ambient Intelligence in Business Environments and Internet of Things Transformation Guidelines (Kadir Alpaslan Demir, Bugra Turan, Tolga Onel, Tufan Ekin, Seda Demir)....Pages 39-67 Runtime Adaptability of Ambient Intelligence Systems Based on Component-Oriented Approach (Muhammed Cagri Kaya, Alperen Eroglu, Alper Karamanlioglu, Ertan Onur, Bedir Tekinerdogan, Ali H. Dogru)....Pages 69-92 Front Matter ....Pages 93-93 Developing WLAN-Based Intelligent Positioning System for Presence Detection with Limited Sensors (Ivan Nikitin, Vitaly Romanov, Giancarlo Succi)....Pages 95-131 Need of Ambient Intelligence for Next-Generation Connected and Autonomous Vehicles (Adnan Mahmood, Bernard Butler, Quan Z. Sheng, Wei Emma Zhang, Brendan Jennings)....Pages 133-151 Intelligent Control Systems for Carbon Monoxide Detection in IoT Environments (Champa Nandi, Richa Debnath, Pragnaleena Debroy)....Pages 153-176 IoT-Based Ambient Intelligence Microcontroller for Remote Temperature Monitoring (Balwinder Raj, Jeetendra Singh, Santosh Kumar Vishvakarma, Shailesh Singh Chouhan)....Pages 177-200 Front Matter ....Pages 201-201 Tax Services and Tax Service Providers’ Changing Role in the IoT and AmI Environment (Güneş Çetin Gerger)....Pages 203-216 Ambient Intelligence in Systems to Support Wellbeing of Drivers (Nova Ahmed, Rahat Jahangir Rony, Md. Tanvir Mushfique, Md. Majedur Rahman, Nur E. Saba Tahsin, Sarika Azad et al.)....Pages 217-247 A Vision-Based Posture Monitoring System for the Elderly Using Intelligent Fall Detection Technique (E. Ramanujam, S. Padmavathi)....Pages 249-269 Twenty-First-Century Smart Facilities Management: Ambient Networking in Intelligent Office Buildings (Alea Fairchild)....Pages 271-289 Back Matter ....Pages 291-295