Energy optimization strategy on the IoT equipment based on the scheduler

A scheduling strategy to optimize energy consumption was proposed to reduce the energy consumption of the edge system in view of the fast growth of energy consumption demand in the internet of things.Based on the analysis of the power management architecture and the energy consumption composition in...

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Main Authors: Wanfang ZHAO, Yong HAN
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2019-03-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019043/
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author Wanfang ZHAO
Yong HAN
author_facet Wanfang ZHAO
Yong HAN
author_sort Wanfang ZHAO
collection DOAJ
description A scheduling strategy to optimize energy consumption was proposed to reduce the energy consumption of the edge system in view of the fast growth of energy consumption demand in the internet of things.Based on the analysis of the power management architecture and the energy consumption composition in the typical multi-core terminal system,in view of the shortcomings of the existing system power management module,the scheduler load balancing mechanism was improved to control system energy consumption and the implementation process and implementation points of the strategy were given.The strategy was tested in the multi-core simulation system.The result shows that in low load scenarios,that is,in scenarios that CPU does not need to do data-intensive computing,the energy-saving effect of this strategy is obvious,such as data acquisition,equipment monitoring and other typical internet of things applications.
format Article
id doaj-art-3cd5d37e630e4c77af09acdab911f2df
institution Kabale University
issn 1000-0801
language zho
publishDate 2019-03-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-3cd5d37e630e4c77af09acdab911f2df2025-01-15T03:03:11ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012019-03-0135849059590649Energy optimization strategy on the IoT equipment based on the schedulerWanfang ZHAOYong HANA scheduling strategy to optimize energy consumption was proposed to reduce the energy consumption of the edge system in view of the fast growth of energy consumption demand in the internet of things.Based on the analysis of the power management architecture and the energy consumption composition in the typical multi-core terminal system,in view of the shortcomings of the existing system power management module,the scheduler load balancing mechanism was improved to control system energy consumption and the implementation process and implementation points of the strategy were given.The strategy was tested in the multi-core simulation system.The result shows that in low load scenarios,that is,in scenarios that CPU does not need to do data-intensive computing,the energy-saving effect of this strategy is obvious,such as data acquisition,equipment monitoring and other typical internet of things applications.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019043/power managementschedulerLinux
spellingShingle Wanfang ZHAO
Yong HAN
Energy optimization strategy on the IoT equipment based on the scheduler
Dianxin kexue
power management
scheduler
Linux
title Energy optimization strategy on the IoT equipment based on the scheduler
title_full Energy optimization strategy on the IoT equipment based on the scheduler
title_fullStr Energy optimization strategy on the IoT equipment based on the scheduler
title_full_unstemmed Energy optimization strategy on the IoT equipment based on the scheduler
title_short Energy optimization strategy on the IoT equipment based on the scheduler
title_sort energy optimization strategy on the iot equipment based on the scheduler
topic power management
scheduler
Linux
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019043/
work_keys_str_mv AT wanfangzhao energyoptimizationstrategyontheiotequipmentbasedonthescheduler
AT yonghan energyoptimizationstrategyontheiotequipmentbasedonthescheduler