Ensuring the sustainability of real-time embedded system under both QoS and Energy Constraints

Nowadays, wireless sensor networks (WSNs) are more and more used in applications such as environment monitoring, healthcare monitoring, etc...The challenge in sensor networks is to ensure the sustainability of the system by guaranteeing the required performance level. However, with the limited capac...

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Main Authors: Abdallah Maissa, Abdallah Nadine, Chetto Maryline
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:MATEC Web of Conferences
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2019/30/matecconf_incer2019_04006.pdf
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spelling doaj-104a33d9d7c04bec88835f605a6b8aa52021-03-02T08:58:04ZengEDP SciencesMATEC Web of Conferences2261-236X2019-01-012810400610.1051/matecconf/201928104006matecconf_incer2019_04006Ensuring the sustainability of real-time embedded system under both QoS and Energy ConstraintsAbdallah Maissa0Abdallah Nadine1Chetto Maryline2Faculty of technology, Lebanese UniversityFaculty of technology, Lebanese UniversityLS2N - Laboratoire des Sciences du Numérique de NantesNowadays, wireless sensor networks (WSNs) are more and more used in applications such as environment monitoring, healthcare monitoring, etc...The challenge in sensor networks is to ensure the sustainability of the system by guaranteeing the required performance level. However, with the limited capacity of finite power sources and the need of guaranteeing a long lifetime of those systems, it is suitable to use energy harvesting which allows to supply low-power electronic systems by converting ambient energy into electric power. Hence, our study is concerned with the problem of soft periodic and aperiodic tasks scheduling in sensor nodes powered by energy harvesters. In this paper, we address this issue by proposing three energy-aware schedulers, namely BG-Green-RTO, BG-Green-BWP and Green-AWP which aim to improve the responsiveness of aperiodic tasks while still guaranteeing the execution of periodic tasks considering their timing and energy constraints. Such algorithms allow to gracefully cope with processing overload and energy starvation. Moreover, a simulation study permits to show their performance.https://www.matec-conferences.org/articles/matecconf/pdf/2019/30/matecconf_incer2019_04006.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Abdallah Maissa
Abdallah Nadine
Chetto Maryline
spellingShingle Abdallah Maissa
Abdallah Nadine
Chetto Maryline
Ensuring the sustainability of real-time embedded system under both QoS and Energy Constraints
MATEC Web of Conferences
author_facet Abdallah Maissa
Abdallah Nadine
Chetto Maryline
author_sort Abdallah Maissa
title Ensuring the sustainability of real-time embedded system under both QoS and Energy Constraints
title_short Ensuring the sustainability of real-time embedded system under both QoS and Energy Constraints
title_full Ensuring the sustainability of real-time embedded system under both QoS and Energy Constraints
title_fullStr Ensuring the sustainability of real-time embedded system under both QoS and Energy Constraints
title_full_unstemmed Ensuring the sustainability of real-time embedded system under both QoS and Energy Constraints
title_sort ensuring the sustainability of real-time embedded system under both qos and energy constraints
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2019-01-01
description Nowadays, wireless sensor networks (WSNs) are more and more used in applications such as environment monitoring, healthcare monitoring, etc...The challenge in sensor networks is to ensure the sustainability of the system by guaranteeing the required performance level. However, with the limited capacity of finite power sources and the need of guaranteeing a long lifetime of those systems, it is suitable to use energy harvesting which allows to supply low-power electronic systems by converting ambient energy into electric power. Hence, our study is concerned with the problem of soft periodic and aperiodic tasks scheduling in sensor nodes powered by energy harvesters. In this paper, we address this issue by proposing three energy-aware schedulers, namely BG-Green-RTO, BG-Green-BWP and Green-AWP which aim to improve the responsiveness of aperiodic tasks while still guaranteeing the execution of periodic tasks considering their timing and energy constraints. Such algorithms allow to gracefully cope with processing overload and energy starvation. Moreover, a simulation study permits to show their performance.
url https://www.matec-conferences.org/articles/matecconf/pdf/2019/30/matecconf_incer2019_04006.pdf
work_keys_str_mv AT abdallahmaissa ensuringthesustainabilityofrealtimeembeddedsystemunderbothqosandenergyconstraints
AT abdallahnadine ensuringthesustainabilityofrealtimeembeddedsystemunderbothqosandenergyconstraints
AT chettomaryline ensuringthesustainabilityofrealtimeembeddedsystemunderbothqosandenergyconstraints
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