| 基于预测模型的WSN节点能量融合机制 |
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| 引用本文： | 周 平,张 胜,舒 坚. 基于预测模型的WSN节点能量融合机制[J]. 计算机工程, 2010, 36(1): 110-111 |
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| 作者姓名： | 周 平 张 胜 舒 坚 |
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| 作者单位： | (南昌航空大学计算机学院，南昌 330063) |
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| 摘 要： | 分析节点能量衰减的过程，采用节点能量衰减预测模型描述节点能量损耗的规律，并建立基于该预测模型的节点剩余能量汇报机制，从而减少节点能量数据的汇报次数以及节点间的数据通信量，降低节点能耗。实验结果表明，在应用该预测模型后，Telosb节点的电池工作寿命延长1%~4.5%。
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| 关 键 词： | 无线传感器网络 能量预测模型 数据融合 |
| 修稿时间： | |
Node Energy Aggregation Mechanism Based on Forecast Model in WSN |
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| ZHOU Ping,ZHANG Sheng,SHU Jian. Node Energy Aggregation Mechanism Based on Forecast Model in WSN[J]. Computer Engineering, 2010, 36(1): 110-111 |
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| Authors: | ZHOU Ping ZHANG Sheng SHU Jian |
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| Affiliation: | (Faculty of Computer, Nanchang Hangkong University, Nanchang 330063) |
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| Abstract: | Through the analysis of the node energy attenuation, this paper uses energy attenuation forecast model to describe the law of energy consumption. The reporting mechanism based on the forecast model is set up, which can significantly reduce the reporting counts, data traffics in netsworks and node consumption. Experimental results show the working time of Telosb node can expend 1%~4.5% after using this forecast model. |
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| Keywords: | Wireless Sensor Network(WSN) energy forecast model data aggregation |
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