Ubiquitous Computing for Discrete Event Systems

The rise of ubiquitous computing, also known as pervasive computing or ambient intelligence, has transformed the way digital technologies are integrated into everyday environments. Through connected sensors, smart devices, IoT ecosystems, and edge computing technologies, modern systems are becoming increasingly adaptive, context-aware, and capable of responding to real-time events and interactions. These highly dynamic environments rely heavily on event-driven behaviors, where system changes are triggered by discrete actions such as sensor updates, user interactions, or network changes. As a result, traditional continuous-time modeling approaches are often insufficient for capturing the complexity and responsiveness of these systems. In this context, Discrete Event Systems (DES) provide a powerful framework for modeling, analyzing, and optimizing intelligent systems operating within rapidly evolving ubiquitous computing environments. Ubiquitous Computing for Discrete Event Systems presents state-of-the-art research, methodologies, and real-world applications at the intersection of ubiquitous computing and discrete event systems. Bridging perspectives from IoT, edge computing, cyber-physical systems, artificial intelligence, and systems engineering, this book examines how event-driven modeling and control frameworks can be applied to analyze, optimize, and manage the complex behaviors of modern interconnected systems across diverse application domains. Covering topics such as contactless computing, cyber-physical ubiquitous environments, and neuromorphic discrete event computing, this book is a fundamental academic resource for graduate and doctoral students, data systems researchers, engineers, technology professionals, system architects, urban planners, policymakers, and more.