Abstract
Due to the popularity of Wireless Local Area Networks (WLAN) applications, more and more access points (APs) are connected to the public network. Therefore, indoor localization technology based on public networks has a predominant development prospect. However, localization in the public network faces a lot of problems, and the excessive number of the APs in one of the most serious problems. Based on this, this paper proposes an indoor localization method based on rough set reduction. In this paper, the Received Signal Strength (RSS) signal strength from APs is used as the condition attribute of the rough set, and the optimal attribute reduction is obtained by the neighborhood rough set operation. After the rough set reduction operation, the number of APs in this paper’s data set has been reduced from 520 to 4 or 5, and the location fingerprint database has been greatly reduced. Finally, this paper applies the reduced fingerprint database for indoor localization and estimates the location of each test point.
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Acknowledgment
This work is supported in part by the National Natural Science Foundation of China (61771083, 61704015), Program for Changjiang Scholars and Innovative Research Team in University (IRT1299), Special Fund of Chongqing Key Laboratory (CSTC), Fundamental Science and Frontier Technology Research Project of Chongqing (cstc2017jcyjAX0380, cstc2015jcyjBX0065), Scientific and Technological Research Foundation of Chongqing Municipal Education Commission (KJ1704083), and University Outstanding Achievement Transformation Project of Chongqing (KJZH17117).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Yuan, H., Zhou, M., Deng, Z., Xie, L., Wang, Y., Yang, X. (2019). Rough Set Reduction Aided Cost-Efficient Indoor WLAN Localization. In: Jia, M., Guo, Q., Meng, W. (eds) Wireless and Satellite Systems. WiSATS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 280. Springer, Cham. https://doi.org/10.1007/978-3-030-19153-5_19
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DOI: https://doi.org/10.1007/978-3-030-19153-5_19
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