AI Integration in IoT: A Comprehensive Overview of Applications and Implications | IEEE Conference Publication | IEEE Xplore

AI Integration in IoT: A Comprehensive Overview of Applications and Implications


Abstract:

The complex relationship between AI and the IoT is explored in this study paper, which looks at the two technologies side by side and how they may work together. The stud...Show More

Abstract:

The complex relationship between AI and the IoT is explored in this study paper, which looks at the two technologies side by side and how they may work together. The study delves into several AI-enhanced IoT applications, such as machine learning, deep learning, and natural language processing, and how these integrate to enhance device and system capabilities. Information transmitted via Data sent and received from workstations, as well as data collected by sensors, will soon be available on the internet. Data storage, latency, channel constraint, and network congestion are all potential issues that may arise as the number of workstations and sensors continues to rise. This study explores the revolutionary effects of AI on several sectors of the Internet of Things (IoT) ecosystem by doing a thorough literature review and analysing real-world use cases. By discussing the pros and cons of AI integration into the IoT, the study provides useful information for academics, practitioners, and policymakers. Ultimately, the goal of this extensive investigation is to add to the current conversation about the changing world of AI-enabled IoT, therefore paving the way for new developments in this exciting and fast-paced industry.
Date of Conference: 03-05 May 2024
Date Added to IEEE Xplore: 29 October 2024
ISBN Information:
Conference Location: Kurukshetra, India

I. Introduction

An emerging technology, the "Internet of Things" (IoT) allows for the transmission of data collected by sensors through online networks [1]. The only real difference between regular data communication and the Internet of Things is the prevalence of sensors and microcontrollers in the latter. Data transmission and reception is handled by microcontrollers and portable communication devices such as cell phones, communication pads, or even smartwatches, rather than by desktop computers. The Internet of Things allows for the direct transmission of sensor data to the server. In most cases, this is accomplished by connecting the microcontroller to WiFi. Unlike the old internet system, users must know their TCP/IP address and set up their networks before data can be transferred or received. Connecting to WiFi and confirming that the supplier has supplied the channels are prerequisites to initiating communication, much as with a portable computer.

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