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无线传感器网络中一种高效的能量汇报融合机制
引用本文:周平,张胜,舒坚.无线传感器网络中一种高效的能量汇报融合机制[J].传感器与微系统,2009,28(8):70-72.
作者姓名:周平  张胜  舒坚
作者单位:南昌航空大学,计算机学院,江西,南昌,330063 
基金项目:国家自然科学基金资助项目 
摘    要:通过对telosb节点能耗规律的分析,建立能量预测模型(EFM)采用差介阈值融合汇报机制(DTARM)能够显著减少能量数据汇报次数,提高数据收集效率,降低能耗。实验表明:预测模型的预测成功率为70%-85%,采用差分-阈值融合汇报机制后能使节点的寿命延长5%-11%。

关 键 词:无线传感器网络  预测模型  差分-阈值  数据融合

Effective energy reporting aggregation mechanism in wireless sensor networks
ZHOU Ping,ZHANG Sheng,SHU Jian.Effective energy reporting aggregation mechanism in wireless sensor networks[J].Transducer and Microsystem Technology,2009,28(8):70-72.
Authors:ZHOU Ping  ZHANG Sheng  SHU Jian
Affiliation:( Faculty of Computing, Nanchang Hangkong University, Nanchang 330063, China)
Abstract:Through the analysis about the law of the telosb's energy consumption, an energy forecast model ( EFM) is established. The difference-threshold aggregation reporting mechanism ( DTARM ) is used to report energy. This method can significantly reduce the numbers of reporting, improve the efficient of energy data collection and save energy. Experiments show that the predictable success rate is 70 % ~ 85 % , and the node's working time can be extend 5 %~11 % .
Keywords:wireless sensor networks  forecast model  difference-threshold  data aggregation
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