Impact of Initialization on Gradient Descent Method in Localization Using Received Signal Strength

In this article we present a localization technique based on received signal strength (RSS) combined with the gradient descent optimization method. The goal of this article is to show the importance of gradient descent in localization domain over the trilateration technique, and that by reducing the...

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Published inITM Web of Conferences Vol. 27; p. 1003
Main Authors Hijazi, Hussein, Kandil, Nahi, Zaarour, Nour, Hakem, Nadir
Format Journal Article Conference Proceeding
LanguageEnglish
Published Les Ulis EDP Sciences 2019
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Abstract In this article we present a localization technique based on received signal strength (RSS) combined with the gradient descent optimization method. The goal of this article is to show the importance of gradient descent in localization domain over the trilateration technique, and that by reducing the number of needed anchor nodes. Furthermore, we demonstrate the effect of the initialization technique on the localization accuracy. Results have shown that the selection of the initialization type (4 types of initialization were tested) has an efficient impact on the accuracy of the target sensors location estimation.
AbstractList In this article we present a localization technique based on received signal strength (RSS) combined with the gradient descent optimization method. The goal of this article is to show the importance of gradient descent in localization domain over the trilateration technique, and that by reducing the number of needed anchor nodes. Furthermore, we demonstrate the effect of the initialization technique on the localization accuracy. Results have shown that the selection of the initialization type (4 types of initialization were tested) has an efficient impact on the accuracy of the target sensors location estimation.
Author Kandil, Nahi
Hakem, Nadir
Zaarour, Nour
Hijazi, Hussein
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