Role of Artificial Intelligence in the Internet of Things

Introduction

At the 2005 World Summit on the Information Society (WSIS), the International Telecommunication Union formally suggested the term “Internet of Things”.

Like regular data transfer, Internet of Things (IoT) typically uses sensors and microcontrollers. Instead of using a computer to send and receive data, use a microcontroller with portable communication tools, such as a cell phone, communication pad, and even a wristwatch. Most sensor data can be transmitted straight into the server with IoT. Typically, this is done when the microcontroller is connected to WiFi and there is a WiFi connection.

IoT-related Artificial Intelligence

It is nothing new at this point. There have been several proposals for AI applications in the IoT. One of the suggestions is to enable cross-device communication. This suggests that a user can operate home appliances while in a vehicle. The user of a smartphone can operate home appliances in addition to making calls from

The control of household appliances is where IoT is most frequently employed. An Android phone or iPhone with the appropriate Apps is used, as shown in Figure 1, to turn on and off the appliances over an internet connection. In addition, some of the 171 devices have sensors fitted. To process and transmit the signals to the receiver, the sensors first read the signals from nature and turn them into electrically changing voltages (Android phone). After that, an app is used to show the signals. The internet page also allows users to view the signal information.

Alexa is a well-known Internet of Things (IoT) gadget that uses WiFi to manage household appliances.

Data mining is another way artificial intelligence is used in IoT. Data management and storage space reduction are accomplished through data mining. This implies that there will be a propensity to take longer to find the needed data as the amount of data in the network increases. Data mining technology shortens the time needed to find the desired data.

Artificial Intelligence in IoT Design and Implementation

Fig. The proposed IOT hardware implemented using AI

Physical Prototype

The MQ7 gas sensor and a humidity sensor are the two sensors that make up the suggested proposal. The Arduino microcontroller is attached to the output of both sensors.

The ESP8266 WiFi chip is then linked to the Arduino. An air interface is used to link an Android phone to an Arduino

The software from the previous section must be downloaded into the Arduino before doing the setup procedures listed below to test the system.

Conclusion

IoT has recently significantly contributed to mankind in several areas, including multidisciplinary design and complex, large-scale systems. The AI integration has already demonstrated significant success. Several sectors are expected to undergo a revolution shortly due to ongoing progress and numerous unanticipated favorable effects.

Processing and action by AI. This opens the door to a new Internet of Things with AI integration for robotic and industrial automation applications, including intelligent agents and perhaps future life. IoT makes it possible to successfully handle industrial/robotic automation robotic operations, logistics, supply chain management, inventory control, and facility management. Even though IoT protection has drawn a lot of attention since its inception, the strategies created and put to use so far have not been effective. Protection and confidentiality remain the biggest obstacles to IoT and IoT installations.

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