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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 term industrial internet of things is often encountered in the manufacturing industries, referring to the industrial subset of the IoT. Potential benefits of the industrial internet of things include improved productivity, analytics and the transformation of the workplace. [40]
IOT or IoT may refer to: British Indian Ocean Territory, ISO 3166-1 alpha-3 code; Internet of things, connecting everyday objects to the internet; Illuminates of Thanateros, an international magical organization; Inductive output tube, a variety of vacuum tube; Institute of Transportation, an agency in Taiwan; Input-Output Transfer ...
Narrowband Internet of things (NB-IoT) is a low-power wide-area network (LPWAN) radio technology standard developed by 3GPP for cellular network devices and services. [1] [2] The specification was frozen in 3GPP Release 13 (LTE Advanced Pro), in June 2016. [3] Other 3GPP IoT technologies include eMTC (enhanced Machine-Type Communication) and EC ...
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.
A common example of Aml is the Internet of Things (IoT), which integrates everyday devices into networks that provide intelligent responses based on user behavior. [ 1 ] The term “ambient intelligence” was coined in the late 1990s by Eli Zelkha and his team at Palo Alto Ventures.
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.
IoT Forensics or IoT Forensic Science, a branch of digital forensics, that deals with the use of any digital forensics processes and procedures relating to the recovery of digital evidence which originates from one or more IoT devices for the purpose of preservation, identification, extraction or documentation of digital evidence with the intention of reconstructing IoT-related events. [1]