Ambient IoT: The Invisible Web of Connected Objects
Abstract
The Internet of Things (IoT) is evolving beyond device-centric, clouddependent models towards a more pervasive and intelligent paradigm known as the Ambient Internet of Things (Ambient IoT). This paradigm envisions a seamlessly integrated network where everyday objects, powered by ambient energy harvesting and embedded intelligence, can sense, communicate, and act autonomously. By leveraging advancements in Artificial Intelligence (AI), edge computing, and 6G communication, Ambient IoT creates an invisible web of connectivity that operates with minimal human intervention. This paper provides a comprehensive analysis of Ambient IoT, exploring its conceptual foundation, multi-layered architecture, and operational workflow. It highlights key characteristics such as invisibility, contextawareness, and sustainability. Furthermore, the paper examines real-world applications in smart retail, healthcare, and urban infrastructure, discusses significant advantages alongside current limitations and challenges, and outlines the future scope of this transformative technology. The study concludes that Ambient IoT represents a foundational shift towards building sustainable, autonomous, and human-centric digital ecosystems.
Fields of Study & Subjects
IoT and Edge/Fog Computing
Internet of Things and AI
Context-Aware Activity Recognition Systems
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 1 January 2026