| 摘 要: 针对无线传感网节点资源受限，以及很难更换电池等问题，如何有效降低节点能耗成为研究关键点。现 有文献大多针对单一应用单独设计解决方案、单独评价方案效能，而实际上单一节点通常执行多个应用，因此需要研究 基于跨应用的最优化能耗控制方案，使用基于神经网络径向基函数的k均值聚类自组织算法估算聚类中心、并使用最小 均方差算法调整和修正聚类中心到输出点的权重矩阵以改善收敛速度，最终实现数据融合、设计跨应用资源调度方案， 可以实现节点能耗控制。仿真实验结果表明，随着节点运行轮次增加，本文算法的节点能耗显著降低。 |
| 关键词: 无线传感网；能耗控制；跨应用；径向基函数 |
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中图分类号: TP393
文献标识码: A
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| A Cross-application Energy Saving Mechanism Based on RBF for Wireless Sensor Networks |
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LIU Bingyue
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( Department of Software Engineering, Dalian Neusoft Institute of Information, Dalian 116023, China)
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| Abstract: With regard to the problems of constrained node resources and difficult battery replacement,how to reduce energy consumption of nodes has become a key research point.Existing literature mostly aims at the single application to design scheme and performance evaluation protocols.Since a single node executes more than one application,it is a new challenge to make an optimal energy control based on cross-application.The paper proposes a cross-application energy saving mechanism based on RBF for Wireless Sensor Networks to control node energy consumption.Then adjust and modify the weight matrix of the cluster center by Least Mean Square algorithm to realize data fusion.The simulation experiment results show that the node energy consumption can be significantly reduced after several rounds. |
| Keywords: wireless sensor network;energy saving;cross-application;radial basis function |
