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...
Saved in:
Main Authors: | , , , |
---|---|
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/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1841539694124335104 |
---|---|
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 |