Analysis of Vehicle Detection with WSN-Based Ultrasonic Sensors
AbstractExisting 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.
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Jo, Y.; Jung, I. Analysis of Vehicle Detection with WSN-Based Ultrasonic Sensors. Sensors 2014, 14, 14050-14069.
Jo Y, Jung I. Analysis of Vehicle Detection with WSN-Based Ultrasonic Sensors. Sensors. 2014; 14(8):14050-14069.Chicago/Turabian Style
Jo, Youngtae; Jung, Inbum. 2014. "Analysis of Vehicle Detection with WSN-Based Ultrasonic Sensors." Sensors 14, no. 8: 14050-14069.