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.
Authors
- R. Pavani
- Anil Kumar Pandey (ORCID: https://orcid.org/0000-0002-8933-4239)
- Sanjeev Kumar (ORCID: https://orcid.org/0000-0001-7997-0111)
- Mahesh Kumar Singh (ORCID: https://orcid.org/0000-0002-2270-9489)
- Pinninti Santosh Sushma
Institutions
- Galgotias University (IN)
- Aditya Birla (India) (IN)
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