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IoT intelligence can be offered at three levels: IoT devices, Edge/Fog nodes, and cloud computing. [135] The need for intelligent control and decision at each level depends on the time sensitiveness of the IoT application. For example, an autonomous vehicle's camera needs to make real-time obstacle detection to avoid an accident. This fast ...
For example, a Deloitte report states that by implementing an IIOT solution integrating data from multiple internal and external sources (such as work management system, control center, pipeline attributes, risk scores, inline inspection findings, planned assessments, and leak history), thousands of miles of pipes can be monitored in real-time.
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.
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]
Thread is an IPv6-based, low-power mesh networking technology for Internet of things (IoT) products. [1] The Thread protocol specification is available at no cost; however, this requires agreement and continued adherence to an end-user license agreement (EULA), which states "Membership in Thread Group is necessary to implement, practice, and ship Thread technology and Thread Group specifications."
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.
For example, low volume, high mix, special geometries and assembly of parts, consolidation of parts, ensure the supply chain resiliency, personalization, improve sustainability.
It complements the existing IoT networking protocols such CoAP, MQTT, HTTP, 6LowPAN. While the above-mentioned IoT networking protocols are addressing the ability for different IoT systems to exchange information, OGC SensorThings API is addressing the ability for different IoT systems to use and understand the exchanged information.