Learning Internet of Things | Accra Metropolitan University

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Learning Internet of Things

Peter Waher - Personal Name;

To be able to define IoT, let's first look at how the term was coined. Kevin Ashton noted that most data on the Internet was at the time originally entered or captured into the system by human beings. From a system point of view, a human is nothing more than a slow, error-prone, and inefficient router of data that puts limits on quality and quantity of data available and sometimes even dares to interpret data or correct it. As an alternative, it would be more efficient if these systems could connect to sensors that measure these real-world events or properties directly. So, in this vision, systems bypass human intermediaries and connect directly to sensors connected to the Internet to capture real-world data. The problem with this definition is that it is not a definition at all but a vision, albeit with an important point. If systems can access data captured by sensors directly, of course, the data will be both more abundant and more correct. This was known decades ago and is a field of study in its own right, labeled "sensor networks". What is the real difference between these two? What is the difference between IoT and Big Data, where the efficient storage of huge volumes of data is handled? How does IoT differ from machine-to-machine (M2M) or device-to-device (D2D) communication, where communication between Things is discussed? Or, how does it differ from cyber-physical systems (CPS) that concerns itself with systems that interact with the real world through sensors and actuators? What is the real difference between IoT and the just mentioned fields of study? Let's, therefore, have a very simple definition and see where it leads us:

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Series Title: -
Call Number: -
Publisher: : ., 2015
Collation: 1-242
Language: English
ISBN/ISSN: 978-1-78355-353-2
Classification: NONE
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Edition: -
Subject(s): Learning Internet of Things
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