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Sensors 2014, 14(8), 14050-14069; doi:10.3390/s140814050
Article

Analysis of Vehicle Detection with WSN-Based Ultrasonic Sensors

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Received: 11 June 2014 / Revised: 22 July 2014 / Accepted: 24 July 2014 / Published: 4 August 2014

Abstract

Existing traffic information acquisition systems suffer from high cost and low scalability. To address these problems, the application of wireless sensor networks (WSNs) has been studied, as WSN-based systems are highly scalable and have a low cost of installing and replacing the systems. Magnetic, acoustic and accelerometer sensors have been considered for WSN-based traffic surveillance, but the use of ultrasonic sensors has not been studied. The limitations of WSN-based systems make it necessary to employ power saving methods and vehicle detection algorithms with low computational complexity. In this paper, we model and analyze optimal power saving methodologies for an ultrasonic sensor and present a computationally-efficient vehicle detection algorithm using ultrasonic data. The proposed methodologies are implemented and evaluated with a tiny microprocessor on real roads. The evaluation results show that the low computational complexity of our algorithm does not compromise the accuracy of vehicle detection.
Keywords: power saving; low computational complexity; ultrasonic sensors; traffic information acquisition systems; wireless sensor networks power saving; low computational complexity; ultrasonic sensors; traffic information acquisition systems; wireless sensor networks
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.

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Jo, Y.; Jung, I. Analysis of Vehicle Detection with WSN-Based Ultrasonic Sensors. Sensors 2014, 14, 14050-14069.

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