Notes that the IoT term predates modern smartphones and catalogs overlapping concepts including CPS, pervasive computing, and industrial Internet.
The Internet of Things (IoT) refers to physical objects embedded with sensors, software, and network connectivity that collect and exchange data over the internet or other communication networks. The term was coined by Kevin Ashton in 1999 to promote radio-frequency identification (RFID) technology, though the concept of connecting physical objects to networks dates back to the 1980s with early experiments like a Carnegie Mellon University Coca-Cola vending machine connected to ARPANET.
While often associated with consumer smart home devices, the IoT's largest application is in industrial and business sectors, such as commercial asset tracking and fleet management. The field evolved from the convergence of technologies like ubiquitous computing, embedded systems, and machine learning, and is sometimes considered a misnomer because many devices only require a private network connection rather than the public internet.
The terminology surrounding IoT is complex and overlaps with several related concepts, including: Cyber-Physical Systems (CPS): Focuses on controlling physical processes. Pervasive/Ubiquitous Computing: Emphasizes computing integrated into the environment. Industrial Internet (IIoT): A narrower application for manufacturing and industrial systems. Internet of Everything (IoE): A broader term including people, processes, and data.
Cisco Systems estimated that the IoT was "born" between 2008 and 2009, when the number of connected devices surpassed the number of people on Earth.
The Wikipedia article on the Internet of Things provides a broad, encyclopedic overview of IoT as the extension of networked computing to physical objects—sensors, actuators, embedded systems, and connected devices that exchange data with each other and with higher-level platforms. It situates the term historically, noting that “IoT” predates the modern smartphone era, and frames it within a wider family of related concepts such as cyber-physical systems, pervasive computing, ambient intelligence, machine-to-machine communication, and the Industrial Internet. This framing is useful because it clarifies that IoT is not a single technology or protocol, but an umbrella term for systems that blend sensing, connectivity, computation, and physical-world interaction.
Technically, the article maps the layered architecture commonly used to understand IoT deployments: constrained device layers with sensors and actuators, communication layers using technologies such as Wi-Fi, Bluetooth, Zigbee, LoRaWAN, NB-IoT, and cellular networks, and platform/cloud layers that handle data ingestion, storage, analytics, and application services. It also touches on relevant protocols and design concerns, including lightweight messaging, edge processing, interoperability, scalability, and security. Its key insight is that the value of IoT systems comes less from any individual component and more from the integration of physical signals, networked data, and software services into actionable information or control loops.
For a technically literate audience, the material matters because it offers a common conceptual map for a field that is often fragmented across consumer electronics, industrial automation, research computing, and cloud platforms. By cataloging overlapping terminology and distinguishing IoT from adjacent domains such as CPS and the Industrial Internet, it helps readers identify where different architectures, standards, and use cases fit together. As an introductory reference, it is less valuable for deep protocol design or implementation detail, but more useful for establishing vocabulary, historical context, and the cross-cutting challenges—security, privacy, heterogeneity, latency, energy constraints, and data governance—that define serious IoT system design.