Articles | Volume 6, issue 1
J. Sens. Sens. Syst., 6, 247–251, 2017
J. Sens. Sens. Syst., 6, 247–251, 2017

Regular research article 20 Jun 2017

Regular research article | 20 Jun 2017

Scanning method for indoor localization using the RSSI approach

Ahmad Warda et al.

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Cited articles

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Chakraverty, S.: Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems, IGI Global, 2014.
Farid, Z., Nordin, R., and Ismail, M.: Recent advances in wireless indoor localization techniques and system, Journal of Computer Networks and Communications, 2013.
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Short summary
We studied the problem of wireless indoor mobile robot localization and tracking using noise-free data and data with additive white Gaussian noise at three receiver positions. We proposed a new scanning method to overcome the drawbacks of fingerprint, which includes time-consuming construction of a database and its need for rebuilding every time a significant change in the environment occurs.