一种基于自编码器的无线传感网数据收集方案

doi:10.3969/j.issn.0255-8297.2018.03.001

Journal of Applied Sciences ›› 2018, Vol. 36 ›› Issue (3): 411-419.doi: 10.3969/j.issn.0255-8297.2018.03.001

• Communication Engineering • Previous Articles Next Articles

An Autoencoder-Based Data Collection Scheme for Wireless Sensor Networks

LI Guo-rui, TIAN Li, CUI Hao, CHEN Hao-bo

College of Computer Science and Technology, Northeastern University, Shenyang 110819, China

Received:2017-08-25 Revised:2017-10-05 Online:2018-05-31 Published:2018-05-31

Abstract

Abstract:

Data collection is one of the key operations in wireless sensor networks. In this paper, we propose an energy efcient data collection scheme for wireless sensor networks by using an autoencoder. It includes the model training process and the data collection process. In the model training process, historical dataset is utilized to train the autoencoder with the goal of obtaining a measurement matrix and a reconstruction matrix. In the data collection process, the measurement matrix is utilized to compress the sensed data in a distributed manner and the reconstruction matrix is utilized to reconstruct the surveillant data of the whole sensor network. The experiment results show that the proposed scheme presents higher data compression ratio and higher data reconstruction accuracy as well as faster data reconstruction speed than existed data collection schemes.

Key words: data collection, data reconstruction, wireless sensor networks, autoencoder

CLC Number:

TP393

LI Guo-rui, TIAN Li, CUI Hao, CHEN Hao-bo. An Autoencoder-Based Data Collection Scheme for Wireless Sensor Networks[J]. Journal of Applied Sciences, 2018, 36(3): 411-419.

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An Autoencoder-Based Data Collection Scheme for Wireless Sensor Networks

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