IEEE 802.15.4 differentiated service strategy based on reinforcement-learning

To provide better support in differentiated service for IEEE 802.15.4,a novel differentiated service mechanism was proposed based on BCS(back off counter scheme)and reinforcement learning.In terms of end-device,BCS backoff strategy was added to original priority-based differentiated strategy to solv...

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Main Authors: Liang QIAN, Zhi-hong QIAN, Tian-ping LI, Wei QUAN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2015-08-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015149/
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author Liang QIAN
Zhi-hong QIAN
Tian-ping LI
Wei QUAN
author_facet Liang QIAN
Zhi-hong QIAN
Tian-ping LI
Wei QUAN
author_sort Liang QIAN
collection DOAJ
description To provide better support in differentiated service for IEEE 802.15.4,a novel differentiated service mechanism was proposed based on BCS(back off counter scheme)and reinforcement learning.In terms of end-device,BCS backoff strategy was added to original priority-based differentiated strategy to solve the service differentiation problem under higher traffic condition.Whil “ e for the coordinator,a reinforcement learning based duty-cycle adjustment algorithm was proposed toself-learning”an optimal duty-cycle according to different application requirements and environmental changes.Simulation shows that the proposed algorithm can meet the performance requirements of high-priority service under different environments and adjust the duty-cycle when traffic is changed,which showed a strong environmental adaptability.
format Article
id doaj-art-e3589be5519847afa3dedf2fd1180273
institution Kabale University
issn 1000-436X
language zho
publishDate 2015-08-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-e3589be5519847afa3dedf2fd11802732025-01-14T06:53:26ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-08-013617118159695075IEEE 802.15.4 differentiated service strategy based on reinforcement-learningLiang QIANZhi-hong QIANTian-ping LIWei QUANTo provide better support in differentiated service for IEEE 802.15.4,a novel differentiated service mechanism was proposed based on BCS(back off counter scheme)and reinforcement learning.In terms of end-device,BCS backoff strategy was added to original priority-based differentiated strategy to solve the service differentiation problem under higher traffic condition.Whil “ e for the coordinator,a reinforcement learning based duty-cycle adjustment algorithm was proposed toself-learning”an optimal duty-cycle according to different application requirements and environmental changes.Simulation shows that the proposed algorithm can meet the performance requirements of high-priority service under different environments and adjust the duty-cycle when traffic is changed,which showed a strong environmental adaptability.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015149/IEEE 802.15.4/LR-WPANdifferentiated-serviceBCSreinforcement-learningduty-cycle
spellingShingle Liang QIAN
Zhi-hong QIAN
Tian-ping LI
Wei QUAN
IEEE 802.15.4 differentiated service strategy based on reinforcement-learning
Tongxin xuebao
IEEE 802.15.4/LR-WPAN
differentiated-service
BCS
reinforcement-learning
duty-cycle
title IEEE 802.15.4 differentiated service strategy based on reinforcement-learning
title_full IEEE 802.15.4 differentiated service strategy based on reinforcement-learning
title_fullStr IEEE 802.15.4 differentiated service strategy based on reinforcement-learning
title_full_unstemmed IEEE 802.15.4 differentiated service strategy based on reinforcement-learning
title_short IEEE 802.15.4 differentiated service strategy based on reinforcement-learning
title_sort ieee 802 15 4 differentiated service strategy based on reinforcement learning
topic IEEE 802.15.4/LR-WPAN
differentiated-service
BCS
reinforcement-learning
duty-cycle
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015149/
work_keys_str_mv AT liangqian ieee802154differentiatedservicestrategybasedonreinforcementlearning
AT zhihongqian ieee802154differentiatedservicestrategybasedonreinforcementlearning
AT tianpingli ieee802154differentiatedservicestrategybasedonreinforcementlearning
AT weiquan ieee802154differentiatedservicestrategybasedonreinforcementlearning