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: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2015-08-01
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| 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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| Summary: | 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. |
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| ISSN: | 1000-436X |