In this paper we present an experimental study of trilateration and probabilistic multilateration. Both methods are techniques aimed at estimating the location of a point, based on the position of three or more references and distances to them. To asses the effectiveness of the aforementioned methods, we present a characterization of the various error conditions, a sensitivity analysis of the trilateration and probabilistic multilateration to measure the level of collinearity among references, and a simulation-based analysis describing the results of detailed simulation experiments used to study the performance of DV-Hop that use trilateration as method to estimate the position of their nodes, as well as the version of DV-Hop that use probabilistic multilateration for the same purpose. DV-Hop is the most representative range-free positioning algorithms in the context of mobile ad hoc networks (MANETs). Our experimental results show that the probabilistic multilateration method is superior to the traditional trilateration method.
@InProceedings{CLEI-2015:144319, author = {Anabel Pineda-Briseño and Rolando Menchaca-Méndez}, title = {An Experimental Study on the Effectiveness of Trilateration and Probabilistic Multilateration for Position Estimation in MANETs}, booktitle = {2015 XLI Latin American Computing Conference (CLEI)}, pages = {131--139}, year = {2015}, editor = {Hector Cancela and Alex Cuadros-Vargas and Ernesto Cuadros-Vargas}, address = {Arequipa-Peru}, month = {October}, organization = {CLEI}, publisher = {CLEI}, url = {http://clei.org/clei2015/144319}, isbn = {978-1-4673-9143-6}, }