Energy efficient resource management for real-time IoT applications

IF 6 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Rolden John Fereira , Chathurika Ranaweera , Kevin Lee , Jean-Guy Schneider
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引用次数: 0

Abstract

The Internet of Things (IoT) has a large and rapidly expanding number of deployed devices, which leads to a significant global energy consumption footprint. Diverse IoT use cases, including smart cities, smart grids, Industry 5.0, eHealth, and autonomous vehicles, are contributing to this increase in energy consumption. Optimising energy utilisation is crucial to sustaining the exponential growth of IoT applications, which demand stringent delays and latencies measured in milliseconds and microseconds. There are additional complexities with the emergence of edge, fog, and cloud computing and the need to manage the energy consumption at all the layers. In this paper, mechanisms that can be used to minimise energy consumption within an edge–fog–cloud IoT architecture for real-time IoT applications are being proposed. We investigate mechanisms for optimal node selection, primarily focusing on minimising energy usage while adhering to the Quality of Service (QoS) requirements of various IoT requests. The mechanisms include genetic, modified genetic, and delay-aware algorithms tailored explicitly for real-time IoT applications. We evaluated the proposed mechanisms using a simulation of diverse network scenarios. The results presented in the paper provide insight into balancing processing time and energy efficiency, which are critical considerations in sustainably developing IoT applications in an edge–fog–cloud IoT architecture.
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来源期刊
Internet of Things
Internet of Things Multiple-
CiteScore
3.60
自引率
5.10%
发文量
115
审稿时长
37 days
期刊介绍: Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT. The journal will place a high priority on timely publication, and provide a home for high quality. Furthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT.
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