Authors:
Dhouha El Houssaini
1
;
2
;
Zaid Abdullah
1
;
Sabrine Kheriji
3
;
2
;
Kamel Besbes
1
and
Olfa Kanoun
1
Affiliations:
1
Chair for Measurement and Sensor Technology, Technische Universität, 09111 Chemnitz, Germany
;
2
Microelectronics and Instrumentation Laboratory, Faculty of Sciences of Monastir, 1002, Tunisia
;
3
Centre for Research on Microelectronics and Nanotechnology, Technopark of Sousse, 4000, Tunisia
Keyword(s):
WSNs, Localization, Range-based, Multiple Linear Regression, Guideline, IoT.
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 de
veloped guideline for range-based localization is tested and validated for existing localization solutions.
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