In-Network Data Processing Architecture for Energy Efficient Wireless Sensor Networks

被引：0

作者：

He, Weiwei ^{[1
]}

Yang, Shuang-Hua ^{[1
]}

Yang, Lili ^{[2
]}

Li, Ping ^{[3
]}

机构：

[1] Univ Loughborough, Dept Comp Sci, Loughborough LE11 3TU, Leics, England

[2] Univ Loughborough, Sch Business & Econ, Loughborough LE11 3TU, Leics, England

[3] Liaoning Shihua Univ, Sch Informat & Control Engn, Fushun, Peoples R China

来源：

2015 IEEE 2ND WORLD FORUM ON INTERNET OF THINGS (WF-IOT) | 2015年

关键词：

In-network data processing; Wireless Sensor Network; Data compression; Event detection;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In traditional WSNs, the sensor nodes are used only for capturing data, which is analyzed in a centralized base station. This requires a continuous communication but wastes the energy of sensor nodes and results in a reduction of the overall network lifetime. In this paper, we proposed an in-network data processing architecture to improve the energy efficiency and the scalability and the accuracy of sensor networks. We also adapted a data mining algorithm to process data for matching a specific event. The simulations show a reduction in energy consumption and an improvement in data accuracy.

引用

页码：299 / 304

页数：6

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