摘要：As the Internet of Things (IoT) becomes ubiquitous and the demand for high-quality services increases, the limitations of traditional network models are starting to show due to endpoint resource constraints. Edge Computing, as an emerging computing paradigm, can significantly improve data processing efficiency and quality of experience by deploying edge servers with computing resources near terminal devices. However, the computing process can generate a lot of carbon emissions due to energy consumption. How to reduce energy consumption and therefore reduce carbon emissions while ensuring service latency is still a pressing issue to resolve. This article focuses on how to reasonably utilize technologies, such as mobile edge computing (MEC), nonorthogonal multiple access (NOMA), and small cell networks (SCNs) in the IoT environment, while considering service latency and energy-saving carbon reduction requirements. We model the problem as a stochastic problem involving local devices, small base stations (SBS), and macro base stations (MBSs), aiming to simultaneously ensure service latency and minimize carbon dioxide emissions. Due to uncertainties, such as task arrival rates and channel conditions, we convert the stochastic problem into a deterministic problem using mathematical optimization theory. Then, we propose an online algorithm called Carbon-aware dynamic task offloading (CADTO) which can solve the problem brought by NOMA and obtain a dynamic offloading strategy. Through theoretical analysis and simulation experiments, we prove that the CADTO algorithm can effectively reduce energy consumption and carbon emissions while ensuring service quality.

关键字：Carbon emissions; dynamic offloading; Internet of Things (IoT); mobile edge computing (MEC); nonorthogonal multiple access (NOMA)

ISSN号：2327-4662

卷、期、页：卷11期9: 15723-15734

发表日期：2024-05-01

影响因子：0.000000

期刊分区（SCI为中科院分区）：一区

收录情况：SCI（科学引文索引印刷版）,EI（工程索引）,SCIE（科学引文索引网络版）

发表期刊名称：IEEE INTERNET OF THINGS JOURNAL

参与作者：杨耀宗,陈莹,李开心

第一作者：黄霁崴

论文类型：期刊论文

论文概要：杨耀宗,陈莹,李开心,黄霁崴，Carbon-Aware Dynamic Task Offloading in NOMA-Enabled Mobile Edge Computing for IoT，IEEE INTERNET OF THINGS JOURNAL，2024，卷11期9: 15723-15734

论文题目：Carbon-Aware Dynamic Task Offloading in NOMA-Enabled Mobile Edge Computing for IoT