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