Localization in IEEE 802.11 networks by using the nelder-mead method

Authors:
Waslon T.A. Lopes;Daniel A. Formiga;Raissa D. Lucena;Wamberto J.L. Queiroz
Affiliations:
Federal University of Campina Grande, Campina Grande, Brazil;Federal University of Campina Grande, Campina Grande, Brazil;Federal University of Campina Grande, Campina Grande, Brazil;Federal University of Campina Grande, Campina Grande, Brazil
Venue:
Proceedings of the 8th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Year:
2013

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Abstract

This papers addresses the problem of localization of mobile devices in WiFi IEEE 802.11 networks considering indoor applications. The key idea of this work is estimate the distance between a mobile receiver and an access point based on the signal propagation losses. Five prediction models for the propagation losses are used: free-space, Recommendation ITU-R P.1238-1, WPS, exponential and potential regression. The Nelder-Mead Method was used to determine the mobile position from its distances to three access points. Experimental results shows that the best localization performance is obtained by using potential regression.