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Sensors 2014, 14(10), 18728-18747; doi:10.3390/s141018728

Self-Configuring Indoor Localization Based on Low-Cost Ultrasonic Range Sensors

1
Northern Cyprus Campus, Middle East Technical University, Mersin 10, Turkey
2
Department of Information and Communication Engineering, Daegu Gyeongbuk Institute of Scienceand Technology (DGIST), 333 Techno Jungang-Daero, Hyeonpung-Myeon, Dalseong-Gun, Daegu 711-873, Korea
*
Author to whom correspondence should be addressed.
Received: 23 June 2014 / Revised: 20 September 2014 / Accepted: 22 September 2014 / Published: 10 October 2014
(This article belongs to the Section Sensor Networks)
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Abstract

In smart environments, target tracking is an essential service used by numerous applications from activity recognition to personalized infotaintment. The target tracking relies on sensors with known locations to estimate and keep track of the path taken by the target, and hence, it is crucial to have an accurate map of such sensors. However, the need for manually entering their locations after deployment and expecting them to remain fixed, significantly limits the usability of target tracking. To remedy this drawback, we present a self-configuring and device-free localization protocol based on genetic algorithms that autonomously identifies the geographic topology of a network of ultrasonic range sensors as well as automatically detects any change in the established network structure in less than a minute and generates a new map within seconds. The proposed protocol significantly reduces hardware and deployment costs thanks to the use of low-cost off-the-shelf sensors with no manual configuration. Experiments on two real testbeds of different sizes show that the proposed protocol achieves an error of 7.16~17.53 cm in topology mapping, while also tracking a mobile target with an average error of 11.71~18.43 cm and detecting displacements of 1.41~3.16 m in approximately 30 s. View Full-Text
Keywords: self-configuration; indoor localization; device-free localization; ultrasonic sensors self-configuration; indoor localization; device-free localization; ultrasonic sensors
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Basaran, C.; Yoon, J.-W.; Son, S.H.; Park, T. Self-Configuring Indoor Localization Based on Low-Cost Ultrasonic Range Sensors. Sensors 2014, 14, 18728-18747.

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