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Decentralized Internet of things, or decentralized IoT, is a modified IoT which utilizes fog computing to handle and balance requests of connected IoT devices in order to reduce loading on the cloud servers and improve responsiveness for latency-sensitive IoT applications like vital signs monitoring of patients, vehicle-to-vehicle communication ...
The industrial internet of things (IIoT) refers to interconnected sensors, instruments, and other devices networked together with computers' industrial applications, including manufacturing and energy management. This connectivity allows for data collection, exchange, and analysis, potentially facilitating improvements in productivity and ...
The Artificial Intelligence of Things (AIoT) is the combination of artificial intelligence (AI) technologies with the Internet of things (IoT) infrastructure to achieve more efficient IoT operations, improve human-machine interactions and enhance data management and analytics. [1] [2] [3]
Ambient IoT, from ambient and Internet of things, is a concept originally coined by 3GPP [1] that is used in the technology industry referring to an ecosystem of a large number of objects in which every item is connected into a wireless sensor network using low-cost self-powered sensor nodes.
Following this early work, the growing interest in and implementation of the Internet of things started to raise some questions about the application layer of the IoT. [5] While most of the work in the IoT space focused on network protocols, there was a need to think about the convergence of data from IoT devices.
Internet of Things (IoT) security devices are electronic tools connected via Internet to a common network and are used to provide security measures. These devices can be controlled remotely through a mobile application, web-based interface or any proprietary installed software, and they often have capabilities such as remote video monitoring, intrusion detection, automatic alerts, and smart ...
In 2011, the need to extend cloud computing with fog computing emerged, in order to cope with huge number of IoT devices and big data volumes for real-time low-latency applications. [5] Fog computing, also called edge computing, is intended for distributed computing where numerous "peripheral" devices connect to a cloud.
Windows IoT, short for Windows Internet of Things and formerly known as Windows Embedded, is a family of operating systems from Microsoft designed for use in embedded systems. Microsoft has three different subfamilies of operating systems for embedded devices targeting a wide market, ranging from small-footprint, real-time devices to point of ...
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