The Internet of Things (IoT) describes the network of physical objects—“things”—that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet

Over the past few years, IoT has become one of the most important technologies of the 21st century. Now that we can connect everyday objects—kitchen appliances, cars, thermostats, baby monitors—to the internet via embedded devices, seamless communication is possible between people, processes, and things. In this hyperconnected world, digital systems can record, monitor, and adjust each interaction between connected things. The physical world meets the digital world—and they cooperate.

While the idea of IoT has been in existence for a long time, a collection of recent advances in a number of different technologies has made it practical. Access to low-cost, low-power sensor technology. Affordable and reliable sensors are making IoT technology possible for more manufacturers. Connectivity. A host of network protocols for the internet has made it easy to connect sensors to the cloud and to other “things” for efficient data transfer.

Cloud computing platforms. The increase in the availability of cloud platforms enables both businesses and consumers to access the infrastructure they need to scale up without actually having to manage it all. Machine learning and analytics. With advances in machine learning and analytics, along with access to varied and vast amounts of data stored in the cloud, businesses can gather insights faster and more easily.

The emergence of these allied technologies continues to push the boundaries of IoT and the data produced by IoT also feeds these technologies. Conversational artificial intelligence (AI). Advances in neural networks have brought natural-language processing (NLP) to IoT devices (such as digital personal assistants Alexa, Cortana, and Siri) and made them appealing, affordable, and viable for home use.

Industrial IoT (IIoT) refers to the application of IoT technology in industrial settings, especially with respect to instrumentation and control of sensors and devices that engage cloud technologies with it create new revenue and business models. IIoT is sometimes called the fourth wave of the industrial revolution, or Industry 4.0.

The following are some common uses for IIoT:
  • Smart manufacturing
  • Connected assets and preventive and predictive maintenance.
  • Smart power grids
  • Smart cities
  • Connected logistics
  • Smart digital supply chains

The communication protocols that are the third component of the IoT platform, enable the different devices to communicate and share their data with the controllers or the decision-making centers. IoT platforms offer the flexibility to select the type of the communication technologies according to the needs of the application. The examples of these technologies include Wi-Fi, Bluetooth, ZigBee and cellular technology such as

LTE-4G and 5G networks:

The data storage is the fourth component of the IoT platform which enables management of collected data from the sensors.

The data analytics can be performed off-line after storing the data or it can be in form of real-time analytics.

The data analytic is performed for decision making about the operation of the application.

Based on the need, the data analytics can be performed off-line or real-time.

In off-line analytics, the stored data is first collected and then visualized on premises using visualization tools.

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