Low power data fusion for sensor node constrained by real time management in WSN

WANG Qin; LI Chong; WAN Ya-dong; LI Lei

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Low power data fusion for sensor node constrained by real time management in WSN

更新时间：2024-10-14

- Low power data fusion for sensor node constrained by real time management in WSN
- Vol. 29, Issue 11, Pages: 220-226(2008)
- 作者机构：
  
  北京科技大学信息工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN929.5;TP212.9
- Published：2008
- 稿件说明：
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WANG Qin, LI Chong, WAN Ya-dong, et al. Low power data fusion for sensor node constrained by real time management in WSN[J]. 2008, 29(11): 220-226.
DOI：

WANG Qin, LI Chong, WAN Ya-dong, et al. Low power data fusion for sensor node constrained by real time management in WSN[J]. 2008, 29(11): 220-226. DOI：

摘要

通过对工业无线传感器网络中传感数据在时间维数据特征的研究

结合网络管理实时性的要求

提出了一种实时管理约束下节点级低功耗数据融合算法。该算法能实现网关对网络的实时管理

是一种有效地进行数据优化和管理的方式。理论分析和实验表明

该算法减少了数据发送的次数

节点的功耗减少了28%

提高了网络生命周期

并节省网络通信带宽。

Abstract

Compared with general data fusion algorithms that fuse different space characteristics of data generated at the same time

a time series based node level data fusion algorithm constrained by real time management was proposed to study the different time features of the same space in industrial WSNs

which can meet real time management and is a ef- ficient management way to these requirements. Theoretical analysis and experiments show that it has decreased the time of sending data

reduced 28% of the energy consumption

extended the network lifecycle

and saved the communication bandwidth.

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