计算机工程 ›› 2010, Vol. 36 ›› Issue (1): 110-111,.doi: 10.3969/j.issn.1000-3428.2010.01.039

• 网络与通信 • 上一篇    下一篇

基于预测模型的WSN节点能量融合机制

周 平,张 胜,舒 坚   

  1. (南昌航空大学计算机学院,南昌 330063)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-01-05 发布日期:2010-01-05

Node Energy Aggregation Mechanism Based on Forecast Model in WSN

ZHOU Ping, ZHANG Sheng, SHU Jian   

  1. (Faculty of Computer, Nanchang Hangkong University, Nanchang 330063)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-01-05 Published:2010-01-05

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%。

关键词: 无线传感器网络, 能量预测模型, 数据融合

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.

Key words: Wireless Sensor Network(WSN), energy forecast model, data aggregation

中图分类号: