Node Localization Based on Neural Network Using Semi-Supervised Learning in Wireless Sensor Networks 


Vol. 44,  No. 3, pp. 517-527, Mar.  2019
10.7840/kics.2019.44.3.517


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  Abstract

Accurate node localization of ordinary sensor nodes in wireless sensor networks is very important for effective use of resources when we use an inexpensive ordinary sensor node that does not have a GPS receiver. Among the methods of node localization, the method using only the information of node connections is advantageous in that the calculation amount is small and the additional measuring device is not necessary. For this reason, various algorithms using only the information have been proposed. One useful method is to use neural networks, one of the machine learning applications. In the method of using the neural network, the model is learned using the position information of the beacon node equipped with the GPS receiver. However, in a situation where the number of beacon nodes is small, there is a problem that the localization error of ordinary nodes in situations where there are few beacon nodes. Through simulation experiments, we define wireless sensor network models with fewer beacon nodes and confirm that the proposed method has smaller localization error than the conventional method in each network model.

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  Cite this article

[IEEE Style]

Y. Lee, X. Jin, H. Kim, "Node Localization Based on Neural Network Using Semi-Supervised Learning in Wireless Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 3, pp. 517-527, 2019. DOI: 10.7840/kics.2019.44.3.517.

[ACM Style]

Yu-Ri Lee, Xianglan Jin, and Hyoung-Nam Kim. 2019. Node Localization Based on Neural Network Using Semi-Supervised Learning in Wireless Sensor Networks. The Journal of Korean Institute of Communications and Information Sciences, 44, 3, (2019), 517-527. DOI: 10.7840/kics.2019.44.3.517.

[KICS Style]

Yu-Ri Lee, Xianglan Jin, Hyoung-Nam Kim, "Node Localization Based on Neural Network Using Semi-Supervised Learning in Wireless Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 3, pp. 517-527, 3. 2019. (https://doi.org/10.7840/kics.2019.44.3.517)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880