id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_puqhglqbwrhgvnt2rdo43d4zpm	Luis Mengual	Clustering-based location in wireless networks	2010	11	.pdf	application/pdf	6458	765	65	Unlike traditional radio map-based methods, our methodology normalizes RSS measurements collected at different locations (on a floor) and uses artificial neural network In the third phase, we use data mining techniques (clustering) to optimize location results. system to locate MSs. The received signal strength (RSS), a measure of the power received by the client from an access point (AP), is the key parameter First, the location fingerprints are collected in the off-line or calibration phase by performing a site survey of the received signal strength (RSS) from multiple system that gets significantly better results than other similar systems because it normalizes measurements and optimizes clusters techniques to form different SOMs from the values of the normalized measurements with respect to each reference point. wireless devices and collecting received power data from the specified APs at the locations of interest. Fig. 14 is a comparison of the three wireless device location estimation methods.	./cache/work_puqhglqbwrhgvnt2rdo43d4zpm.pdf	./txt/work_puqhglqbwrhgvnt2rdo43d4zpm.txt