Design of a Guideline for Range-based Localization Algorithms Evaluation using Multiple Linear Regressions

Dhouha El Houssaini, Dhouha El Houssaini, Zaid Abdullah, Sabrine Kheriji, Sabrine Kheriji, Kamel Besbes, Olfa Kanoun

2022

Abstract

Localization is an essential feature in numerous Wireless Sensor Network (WSN) applications, including tracking, health monitoring, and military supervision. Analytical modeling and analysis of the localization system remain challenging and infeasible since it offers oversimplified results with limited reliability to the evaluated cases. Likewise, disseminating test-beds involves a lot of effort, making the simulation phase indispensable to study the WSN localization. The defined localization model needs to ensure solid and pragmatic network assumptions during the simulation. However, most network simulators don’t meet specific criteria related to network definition, such as scalability and heterogeneity. As part of this endeavor, a guideline for evaluating and analyzing technical methods of range-based localization is developed. Multiple linear regression is used to generate the different localization instances, which enables to support different and non-dependent parameters. The developed guideline for range-based localization is tested and validated for existing localization solutions.

Paper Citation

in Harvard Style

El Houssaini D., Abdullah Z., Kheriji S., Besbes K. and Kanoun O. (2022). Design of a Guideline for Range-based Localization Algorithms Evaluation using Multiple Linear Regressions. In Proceedings of the 11th International Conference on Sensor Networks - Volume 1: EWSN-IoT, ISBN 978-989-758-551-7, pages 256-262. DOI: 10.5220/0011013100003118

in Bibtex Style

@conference{ewsn-iot22,
author={Dhouha El Houssaini and Zaid Abdullah and Sabrine Kheriji and Kamel Besbes and Olfa Kanoun},
title={Design of a Guideline for Range-based Localization Algorithms Evaluation using Multiple Linear Regressions},
booktitle={Proceedings of the 11th International Conference on Sensor Networks - Volume 1: EWSN-IoT,},
year={2022},
pages={256-262},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011013100003118},
isbn={978-989-758-551-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Sensor Networks - Volume 1: EWSN-IoT,
TI - Design of a Guideline for Range-based Localization Algorithms Evaluation using Multiple Linear Regressions
SN - 978-989-758-551-7
AU - El Houssaini D.
AU - Abdullah Z.
AU - Kheriji S.
AU - Besbes K.
AU - Kanoun O.
PY - 2022
SP - 256
EP - 262
DO - 10.5220/0011013100003118