Artificial Intelligence of Things in Smart Environments

This book focuses on the use of AI/ML-based techniques to solve issues related to IoT-based environments, as well as their applications. It addresses, among others, signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defi ned networking, congestion control, communication network optimization, security, and anomaly detection.

Auteur

M. Ouaissa, M. Ouaissa, University Meknes, Marocco; Z. Boulouard, Hassan II University, Marocco; Y. Maleh, Slimane University, Morocco.

Résumé

In the De Gruyter Series on the Internet of Things, different approaches of the IoT, the challenges, and some of the applications are presented and discussed. This provides a roadmap to researchers and beginners.

IoT envisages a deep sense of connectivity and communication between the living and non-living entities. Today, the vision of IoT has expanded to connect everything from industrial equipment, to everyday objects, to living organisms such as plants, farm animals, and people. To create a niche for non-living things to react, respond and work autonomously as and when required and as per their role, position and location in the ecosystem to provide services to the user. IoT is developing rapidly in industrial settings. IoT integrates the physical world with the information world so that every entity/device works for the betterment and in co-ordination with the other to help to conserve the most valued resources and save time.