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一种基于灰色模型的预测调度算法

Prediction Scheduling Algorithm Based on Gray Model
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摘要 为了保证监控的质量,无线传感器网络通常以高密度的方式部署节点。当这些节点全部处于工作状态时,不仅会引起信道严重的冲突,而且会产生较多的数据,大量消耗节点的能量。因此,让节点轮流工作和休眠,是一种较好的节能方法。提出了一种基于预测的调度算法。在这个算法中,簇首节点对簇内成员进行管理,并调度低能量的节点进入休眠状态。休眠节点的数据则由簇首节点采用一定的预测算法来预测。仿真结果表明,该调度算法不仅能够有效地延长网络的生命周期,而且数据的精度也能够得到较好的保证。 To ensure monitoring quality of wireless sensor networks (WSNs), sensors are usually deployed densely. If these nodes worke synchronously, they may cause many serious channel conflicts, and generate a quantity of data, which result in a large energy consumption. Hence, it is an energy efficient way to active nodes alternately. In this paper, a prediction-based scheduling algorithm called PSGM is proposed. In PSGM, cluster heads manage nodes and schedule the sleeping of nodes with low energy. Then the data of the sleeping nodes will be got by cluster heads with some prediction algorithm. Simulation results show that PSGM prolongs the lifespan of the network and assures the accuracy of data.
作者 陈鑫杰
出处 《电脑与电信》 2011年第3期35-37,共3页 Computer & Telecommunication
关键词 节点调度 无线传感器网络 预测算法 node scheduling Wireless Sensor Networks prediction algorithm
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参考文献6

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