Abstract:

The rapid proliferation of Internet of Things (IoT) devices, coupled with the increasing demand for AI capabilities, has raised concerns about energy consumption in IoT deployments. This research paper explores the challenges associated with energy efficiency in AI-powered IoT systems and presents potential solutions. We investigate the energy requirements of AI algorithms, the impact of AI on IoT devices, and propose various techniques to optimize energy consumption without compromising the performance of AI models. Through a comprehensive analysis of existing research and case studies, we aim to provide insights into how energy efficiency can be improved in AI-powered IoT environments The integration of Artificial Intelligence (AI) capabilities into Internet of Things (IoT) systems has enabled unprecedented advancements in various domains, such as healthcare, transportation, manufacturing, and smart cities. However, the widespread deployment of AI algorithms in IoT environments has raised concerns about energy consumption and its environmental impact. Energy efficiency is of paramount importance in AI-powered IoT for several reasons. Firstly, IoT devices are often resource-constrained and operate on limited power sources, such as batteries or energy harvesting mechanisms. The continuous operation of AI algorithms on these devices can quickly deplete their power, resulting in frequent battery replacements or reduced device lifetimes. Efficient energy management is crucial to ensure optimal device functionality and minimize maintenance costs. Secondly, energy consumption directly affects the sustainability and environmental footprint of IoT systems. The proliferation of IoT devices has led to a substantial increase in energy demand, contributing to greenhouse gas emissions and overall energy consumption. By improving energy efficiency in AI-powered IoT, we can mitigate the environmental impact and foster the development of sustainable IoT deployments. Thirdly, energy efficiency directly impacts the scalability and scalability of IoT systems. AI algorithms often require significant computational resources, leading to increased power consumption.

Description:

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