A Round-robin Scheduling Algorithm of Relay-nodes in WSN Based on Self-adaptive Weighted Learning for Environment Monitoring

Liu Zhang; Feihu Chen

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A Round-robin Scheduling Algorithm of Relay-nodes in WSN Based on Self-adaptive Weighted Learning for Environment Monitoring

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摘要

Wireless Sensor Network (WSN) for environment monitoring, which typically has heavy data transmission load, has critical real-time requirement. Thus the time delay at relay-nodes should be reduced. This paper models queue scheduling as a reinforcement learning process and presents a scheduling algorithm of relay-node based on self-adaptive weighted learning. The presented algorithm schedules queues dynamically. Simulation results under two circumstances (with sufficient bandwidth and limited bandwidth) show that the algorithm can improve the real-time performance and maintain fairness.

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《Journal of Computers》 |2014年第4期|830-835|共6页
作者
Liu Zhang; Feihu Chen;
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作者单位

School of Design, Hunan University, Changsha, Hunan, China;

School of Architecture, Hunan University, Changsha, Hunan, China;

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正文语种英语
中图分类计量学;
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A Round-robin Scheduling Algorithm of Relay-nodes in WSN Based on Self-adaptive Weighted Learning for Environment Monitoring

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