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An Enhanced Neural Network Algorithm using Wi-Fi Fingerprinting

International Journal of Geoinformatics and Geological Science
© 2015 by SSRG - IJGGS Journal
Volume 2 Issue 2
Year of Publication : 2015
Authors : Dr. Westley L.O
10.14445/23939206/IJGGS-V2I3P101
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How to Cite?

Dr. Westley L.O, "An Enhanced Neural Network Algorithm using Wi-Fi Fingerprinting," SSRG International Journal of Geoinformatics and Geological Science, vol. 2,  no. 2, pp. 12-15, 2015. Crossref, https://doi.org/10.14445/23939206/IJGGS-V2I3P101

Abstract:

Pervasive positioning provides uninterrupted positional information in both indoor and outdoor locations for a wide spectrum of location based service (LBS) applications. With the rapid enlargement of the low-cost and high speed data communication, Wi-Fi networks in many metropolitan cities, strength of signals broadcasted from the Wi-Fi access points (APs) namely received signal strength (RSS) have been smartly adopted for indoor positioning. In this paper, a Wi-Fi positioning algorithm based on neural network modeling of Wi-Fi signal patterns is planned. This algorithm is based on the

Keywords:

indoor positioning; neural network; Wi-Fi fingerprinting

References:

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