Analysis of Vehicle Detection with WSN-Based Ultrasonic Sensors

Sensors

Youngtae. Jo¹ 

[1] Department of Computer Information and Communication Engineering, Kangwon National University, Chuncheon, Gangwondo 200-701, Korea; E-Mail

关键词: power saving;    low computational complexity;    ultrasonic sensors;    traffic information acquisition systems;    wireless sensor networks;   

DOI  :  10.3390/s140814050

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland