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
收藏
页码：299 / 304
页数：6
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