In the simplest of terms, the IoT (Internet of Things) unites physical objects with the virtual world.
In the IoT network, Intelligent devices and machines are connected to each other and the Internet. They capture relevant information about their direct environment, then analyze and link it. The devices perform specific tasks on that basis.
Take sensors, for example. A sensor measures the temperature outside and the smart device it is installed in responds by turning up the heating. All of that is done automatically, without users taking any actions themselves. Users can still control the IoT devices remotely if they wish, such as using an app on their smartphone.
Taking a deeper look at the IoT, all this is made possible by the interplay between connected components, such as microcontrollers, sensors and actuators, which convert electrical impulses into pressure, motion, temperature or other mechanical parameters.
The IoT ecosystem and resultant systems are complex. IoT systems combine individual devices, databases and gateways linking multiple networks with each other. They are connected to the Internet, usually over a wireless interface, and send data or receive commands.
It’s generally believed that future IoT technology trends will help facilities get maximum efficiency and productivity out of their equipment and manufacturing components. This will translate into immense economic value for industries that adopt IoT.
The evolution of IoT will bring further improvements in mass personalization, virtual prototyping, cybersecurity, vehicle-to-everything (V2X) connectivity, and healthcare.
Edge computing is also expected to play a major role in IoT evolution. Simply put, edge computing allows connected devices to share, calculate, analyze and keep data locally. Edge computing is a kind of hybrid approach to data processing that’s reshaping the future of IoT.
Considering how IoT is spreading into different areas of our lives, we must make sure all connected systems function flawlessly. The need for security will make hybrid data storage especially relevant for sensitive and vital systems like autonomous vehicles and industrial equipment networks where lags can lead to injuries.
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