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Wireless Communications and Mobile Computing
Volume 2018, Article ID 2976751, 9 pages
https://doi.org/10.1155/2018/2976751
Research Article

A Novel Indoor Positioning System Using Kernel Local Discriminant Analysis in Internet-of-Things

Department of Computer Engineering, Ajou University, Suwon 16499, Republic of Korea

Correspondence should be addressed to Young-Bae Ko; rk.ca.uoja@okgnuoy

Received 8 September 2017; Revised 9 January 2018; Accepted 18 January 2018; Published 19 February 2018

Academic Editor: Waleed Ejaz

Copyright © 2018 Sajida Imran and Young-Bae Ko. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Sajida Imran and Young-Bae Ko, “A Novel Indoor Positioning System Using Kernel Local Discriminant Analysis in Internet-of-Things,” Wireless Communications and Mobile Computing, vol. 2018, Article ID 2976751, 9 pages, 2018. https://doi.org/10.1155/2018/2976751.