Finding Near-Optimal Regularization Parameter for Indoor Device-free Localization

Author:

Chomu Konstantin,Atanasovski Vladimir,Gavrilovska Liljana

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Reference27 articles.

1. Chomu, K., Atanasovski, V., & Gavrilovska, L. (2015). Device-free localization using Sun SPOT WSNs. In V. Atanasovski & A. Leon-Garcia (Eds.), Future Access Enablers for Ubiquitous and Intelligent Infrastructures: First International Conference, FABULOUS 2015, Ohrid, Republic of Macedonia, September 23–25, 2015 (pp. 91–99). Cham: Springer. http://dx.doi.org/10.1007/978-3-319-27072-2_12 .

2. Adler, S., Schmitt, S., & Kyas, M. (2014). Device-free indoor localisation using radio tomography imaging in 800/900 MHz band. In International conference on indoor positioning and indoor navigation, Busan, South Korea.

3. Bocca, M., Kaltiokallio, O., & Patwari, N. (2012). Radio tomographic imaging for ambient assisted living. In S. Chessa & S. Knauth (Eds.), Evaluating AAL systems through competitive benchmarking–Communications in computer and information science (Vol. 362, pp. 108–130). Berlin: Springer.

4. Kaltiokallio, O., Bocca, M., & Patwari, N. (2013). A multi-scale spatial model for RSS-based device-free localization. IEEE Transactions on Mobile Computing. arXiv:1302.5914 [cs.NI].

5. Alhmiedat, T., Samara, G., & Salem, A. O. A. (2013). An indoor fingerprinting localization approach for ZigBee wireless sensor networks. European Journal of Scientific Research, 105(2), 190202.

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1. Localization Techniques in the Future IoT: A Review;2019 19th International Conference on Computational Science and Its Applications (ICCSA);2019-07

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