Partial Charging Algorithm for Wireless Rechargeable Sensor Networks Based on Node Classification Strategy
季佳俊 1张丹 1胡佳乐 1王芯月 1匡盼盼1
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作者信息
1. 南京林业大学,江苏南京 210037
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摘要
提出了一种节点分级策略(node classification strategy,NCS).根据传感器节点通信数据量和对应的能耗,首先建立传感器节点耗能率模型,然后结合传感器节点耗能率大小和空间距离信息来选择待充电传感器节点,从而提高充电响应的公平性.另外,传统充电算法默认将电池电量补充至最大值,导致被充电的传感器节点个数有限.本文设计了部分充电算法(partial charging algorithm,PCA),通过优化充电值使得充电后既能保证传感器节点工作的电量开销,又能让WCR的有限电量被合理分配给更多有能量需求的传感器节点.最后,仿真实验表明,提出的充电算法NCPCA(node classification and partial charging algo-rithm)能有效降低网络中传感器节点死亡率,提高WRSNs的工作性能.
Abstract
A node classification strategy(NCS)is proposed in this paper.By considering the communication data volume of the sensor nodes and the corresponding energy consumption,an energy consumption rate model is firstly established.Sub-sequently,the sensor nodes to be charged are selected based on the energy consumption rate and the spatial distance informa-tion,thereby improving the fairness of the charging response.Moreover,the traditional charging algorithm defaults to re-plenishing the battery power to the maximum value,which leads to a limited number of charged sensor nodes.In this paper,a partial charging algorithm(PCA)is designed.By optimizing the charging value,not only can the power consumption of sensor nodes be ensured,but the limited power of the wireless charging receiver(WCR)can also be reasonably allocated to more sensor nodes with energy requirements.Finally,simulation experiments demonstrate that the proposed node classifica-tion and partial charging algorithm(NCPCA)can effectively reduce the mortality of sensor nodes in the network and enhance the performance of wireless rechargeable sensor networks(WRSNs).
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