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A Street Parking System Using Wireless Sensor Networks
Joint Authors
Yuan, Huaqiang
Yu, Fengqi
Zhang, Zusheng
Li, Xiaoyun
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2013, Issue - (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
Recently, with the explosive increase of automobiles in cities, parking problems are serious and even worsen in many cities.
This paper proposes a street parking system (SPS) based on wireless sensor networks.
The system can monitor the state of every parking space by deploying a magnetic sensor node on the space.
For accurately detecting a parking car, a vehicle detection algorithm is proposed.
And an adaptive sampling mechanism is used to reduce the energy consumption.
Eighty-two sensor nodes are deployed on the street parking spaces to evaluate the performance of SPS.
By running the system for more than one year, we observed that the vehicle detection accuracy of the SPS is better than 98%, and the lifetime of the sensor node is more than 5 years with a pair of 2500 mAh Li batteries.
American Psychological Association (APA)
Zhang, Zusheng& Li, Xiaoyun& Yuan, Huaqiang& Yu, Fengqi. 2013. A Street Parking System Using Wireless Sensor Networks. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-10.
https://search.emarefa.net/detail/BIM-447020
Modern Language Association (MLA)
Zhang, Zusheng…[et al.]. A Street Parking System Using Wireless Sensor Networks. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-447020
American Medical Association (AMA)
Zhang, Zusheng& Li, Xiaoyun& Yuan, Huaqiang& Yu, Fengqi. A Street Parking System Using Wireless Sensor Networks. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-10.
https://search.emarefa.net/detail/BIM-447020
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-447020