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Range-only fuzzy Voronoi-enhanced localization of mobile robots in wireless sensor networks

Published online by Cambridge University Press:  12 December 2011

D. Herrero and
H. Martínez
D. Herrero*
Affiliation:
Department of Information and Communications Engineering, University of Murcia, 30100 Espinardo, Murcia, Spain
H. Martínez
Affiliation:
Department of Information and Communications Engineering, University of Murcia, 30100 Espinardo, Murcia, Spain
*
*Corresponding author. E-mail: dherrero@um.es
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Summary

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Wireless Sensor Network (WSN) localization has shown a growing research interest, thanks to the expected proliferation of WSN applications. This work is focused on indoor localization of a mobile robot in a WSN using only inter-node range measurements, which are estimated by radio frequency signal strength attenuation. These measurements are affected by different sources of uncertainty that make them highly noisy and unreliable. The proposed approach makes use of fuzzy logic for modeling and dealing with such uncertain information. Besides, the position estimation is enhanced using a rough description of indoor environment. The experiments show that the proposed localization approach (i) is fault-tolerant, (ii) results feasible in low-density WSNs, and (iii) provides better position estimations than well-known localization methods when the position measurements are affected by high uncertainty.

Keywords

Self-localizationFuzzy logicAutonomous robotsWireless sensor networks

Information

Type
Articles
Information
Robotica , Volume 30 , Issue 7 , December 2012, pp. 1063 - 1077
Copyright
Copyright © Cambridge University Press 2011

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