¹School of Design, Hunan University, Changsha, Hunan, China
²School of Architecture, Hunan University, Changsha, Hunan, China

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Abstract—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 realtime performance and maintain fairness.

Index Terms—wireless sensor network, relay-node, selfadaption weight, round-robin scheduling, environment monitoring

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Cite: Liu Zhang, Feihu Chen, "A Round-robin Scheduling Algorithm of Relaynodes in WSN Based on Self-adaptive Weighted Learning for Environment Monitoring," Journal of Computers vol. 9, no. 4, pp. 830-835, 2014.