Analysis and Application Trend of Machine Learning Technology to Improve the Performance of Wireless Sensor Networks 


Vol. 45,  No. 1, pp. 61-79, Jan.  2020
10.7840/kics.2020.45.1.61


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  Abstract

In this paper, machine learning technology are surveyed to solve the problem from wireless sensor networks by network complexity, energy efficiency, heterogeneous sensor node, and so on. First, the problems from wireless sensor networks are represented, and the detailed technology of machine learning and the detailed applications of wireless sensor networks are surveyed, respectively. The machine learning is mainly categorized into supervised learning, unsupervised learning, reinforcement learning, and semi-supervised learning. In supervised learning there are several schemes that are decision tree, artificial neural network, support vector machine, k- nearest neighbor and so on, in unsupervised learning hierarchical clustering, k-means, singular value decomposition, principle component analysis, and so on are, in reinforcement learning Q-learning is representative, finally in semi-supervised learning self-training and co-training are representative. The detailed applications of wireless sensor networks are position estimation, data aggregation, fault node detection, routing and so on, which machine learning technology are applied to. The performance metrics that focus on enhancing accuracy, energy efficiency and reducing computation complexity are represented by applying machine learning technology. Finally, this survey can be referred to select properly the detailed technology of machine learning for the detailed applications of wireless sensor networks.

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  Cite this article

[IEEE Style]

S. Kim, K. Kwon, J. Kim, D. Kim, "Analysis and Application Trend of Machine Learning Technology to Improve the Performance of Wireless Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 1, pp. 61-79, 2020. DOI: 10.7840/kics.2020.45.1.61.

[ACM Style]

Seung-Hwan Kim, Ki-Hyeob Kwon, Jae-Woo Kim, and Dong-Seong Kim. 2020. Analysis and Application Trend of Machine Learning Technology to Improve the Performance of Wireless Sensor Networks. The Journal of Korean Institute of Communications and Information Sciences, 45, 1, (2020), 61-79. DOI: 10.7840/kics.2020.45.1.61.

[KICS Style]

Seung-Hwan Kim, Ki-Hyeob Kwon, Jae-Woo Kim, Dong-Seong Kim, "Analysis and Application Trend of Machine Learning Technology to Improve the Performance of Wireless Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 1, pp. 61-79, 1. 2020. (https://doi.org/10.7840/kics.2020.45.1.61)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880