What is IoT and how dose it work

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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.

These devices range from ordinary household objects to sophisticated industrial tools. With more than 7 billion connected IoT devices today, experts are expecting this number to grow to 10 billion by 2020 and 22 billion by 2025.

Data in IoT system has five steps in the way on how does it work

The data needs to be sent to cloud to be analyzed. But it needs a way to get there.

1. Data Ingestion

IoT devices/sensors collect data from the environment. The data can be as simple as temperature/humidity or it can be as complex as a full video feed. “Almost 5 liquidation bytes of data produced every day in IoT devices.”

To ensure the data security protocols such as Bluetooth, Sig Fox, LoRa, NB-IoT, Zigbee, COAP, Rest DDS, MQTT, XMPP etc are used.

2. Data Transmission

The data is transmitted to the cloud via Gateways (Telemetry Devices). The gateways use both the cellular as well as the satellite communication to transmit the data.

3. Data Processing

Once the data gets to the cloud, IoT platform processes it. The processing can be as simple as checking if the temperature is withing the acceptable range or it could be very complex, such as using computer vision on video to identity objects.

4. Data Visualization

The processed data (information) is made useful to the end-user by providing alerts to the user (E-Mails, Text, Notification). The user might have an application (Interface) that allows him to proactively check-in to the system.

You can make intelligent business decisions based on the insights and predictions generated from the data.

5. Data Analysis and prediction

To utilize the data collected over the time, data analytics makes use of the historical data to provide actionable insights.

Insights helps in predicting the future events that may occur. For example by analyzing the data, we can predict the possible future malfunctioning of a machinery.

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