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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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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