@inproceedings{f1f77ae4d35a4b229c56d9d0eee7f341,
title = "On the Calibration and Performance of RSS-based Localization Methods",
abstract = "This paper analyzes the performance of several Received Signal Strength (RSS) based localization methods as a function of the calibration effort, hence as a function of deployment and maintenance costs. The deployment and maintenance costs determine the scalability and thus the applicability of a localization algorithm, and this is still a topic of research. This paper analyzes and compares the best available localization algorithms of the following localization methods: fingerprinting-, range- and proximity-based localization. An extensive amount of RSS measurements, performed in a realistic indoor environment show that range-based algorithms outperform fingerprinting and proximity-based localization algorithms when there is a limited amount of calibration measurements available. In that case, range-based algorithms have ~30% smaller errors, ~1.3 meter compared to ~1.9 meter. Our measurements show that fingerprinting-based algorithms approximate the performance of range-based algorithms as the number of calibration measurements increases from 1 to 80.",
keywords = "IR-75802, METIS-276323, Signal Strength, EWI-19455, Localization, EC Grant Agreement nr.: FP7/215923, Wireless Sensor Network",
author = "B.J. Dil and Havinga, {Paul J.M.}",
note = "10.1109/IOT.2010.5678435 ; null ; Conference date: 29-11-2010",
year = "2010",
month = nov,
day = "29",
doi = "10.1109/IOT.2010.5678435",
language = "Undefined",
isbn = "978-1-4244-7413-4",
publisher = "IEEE",
pages = "1--8",
booktitle = "Internet of Things, IOT 2010",
}