Data Cleaning for Indoor Crowdsourced RSSI Sequences

Author:

Sun Jing,Wang Bin,Song Xiaoxu,Yang Xiaochun

Publisher

Springer International Publishing

Reference9 articles.

1. Baba, A.I., Jaeger, M., Lu, H., Pedersen, T.B., Ku, W.-S., Xie, X.: Learning-based cleansing for indoor RFID data. In: ACM SIGMOD, pp. 925–936 (2016)

2. Baba, A.I., Lu, H., Xie, X., Pedersen, T.B.: Spatiotemporal data cleansing for indoor RFID tracking data. In: MDM, vol. 1, pp. 187–196. IEEE (2013)

3. Ge, Y., Zheng, Z., Yan, B., Yang, J., Yang, Y., Meng, H.: An RSSI-based localization method with outlier suppress for wireless sensor networks. In: IEEE International Conference on Computer and Communications, pp. 2235–2239 (2016)

4. Laoudias, C., Piche, R., Panayiotou, C.G.: Device self-calibration in location systems using signal strength histograms. J. LBS 7(3), 165–181 (2013)

5. Li, X., Zhao, Y., Zhou, X., Zheng, K.: Consensus-based group task assignment with social impact in spatial crowdsourcing. Data Sci. Eng. 5(4), 375–390 (2020). https://doi.org/10.1007/s41019-020-00142-0

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1. Data Imputation for Sparse Radio Maps in Indoor Positioning;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

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