IoT Systems: Low-Power AI Challenges and Emerging Solutions

This article is primarily concerned with Internet of Things (IoT) systems, which are internet-connected objects that may automatically collect and transmit data over a wireless network. This network utilizes software, hardware, and sensors, among other technologies. The two contributions to this work are as follows: Our most significant contribution is an analysis of the challenges and developing technologies for low-power artificial intelligence in Internet of Things systems in 2021. Our second contribution is a summary of the evolving technologies and new challenges associated with sensor networks and healthcare data management. The primary focus of both of these pieces is the impending problems that will be created by new technologies in a variety of industries. The effectiveness potential of AI systems is quite modest. Energy harvesting can extend the life of Internet of Things devices in addition to reducing their power usage. In order to set benchmark standards for the internet of things, specific evaluation criteria have been established. Internet of Things system devices have evolved as a means of overcoming all obstacles. This study examines the low power and sensor networks of Internet of Things devices alongside artificial intelligence.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/i3ceet61722.2024.10993790
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

IoT Systems: Low-Power AI Challenges and Emerging Solutions

R. Pavani, Anil Kumar Pandey, Sanjeev Kumar, Mahesh Kumar Singh et al.
IoT and Edge/Fog Computing
article

IoT Systems: Low-Power AI Challenges and Emerging Solutions

R. Pavani, Anil Kumar Pandey, Sanjeev Kumar, Mahesh Kumar Singh, Pinninti Santosh Sushma
article en

Abstract

This article is primarily concerned with Internet of Things (IoT) systems, which are internet-connected objects that may automatically collect and transmit data over a wireless network. This network utilizes software, hardware, and sensors, among other technologies. The two contributions to this work are as follows: Our most significant contribution is an analysis of the challenges and developing technologies for low-power artificial intelligence in Internet of Things systems in 2021. Our second contribution is a summary of the evolving technologies and new challenges associated with sensor networks and healthcare data management. The primary focus of both of these pieces is the impending problems that will be created by new technologies in a variety of industries. The effectiveness potential of AI systems is quite modest. Energy harvesting can extend the life of Internet of Things devices in addition to reducing their power usage. In order to set benchmark standards for the internet of things, specific evaluation criteria have been established. Internet of Things system devices have evolved as a means of overcoming all obstacles. This study examines the low power and sensor networks of Internet of Things devices alongside artificial intelligence.

Galgotias University (IN), Aditya Birla (India) (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 65%
IoT and Edge/Fog Computing
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