JOURNAL OF NETWORKS (JNW)
ISSN : 1796-2056
Volume : 3 Issue : 4 Date : April 2008
Vehicle Identification using Discrete Spectrums in Wireless Sensor Networks
Seung S. Yang, Yoon G. Kim, and Hongsik Choi
Full Text: PDF (872 KB)
We studied the possibility of using wireless sensor networks for vehicle identification in a large
open field. This is exciting research in that it not only presents a challenge but has practicality. The
challenge here is to develop algorithms and/or protocols for sensor nodes to execute a given task.
Since each sensor node has limited computation and communication capabilities, these limitations
prohibit the use of algorithms and/or protocols developed for conventional computers and networks.
Each sensor is dispensable and easily deployable, it can do meaningful work when it is
collaborated as a networked cluster; therefore it is very practical in application. Our goal is to identify
vehicles in real time using acoustic signal sensors and wireless networks. Our contribution in this
paper is three fold. First, we developed a simple vehicle sound identification algorithm enough to be
implemented for capacity limited sensor nodes. Second, we proposed architecture and protocols of
wireless sensor networks for vehicle identification using this developed sound classification
algorithm. Third, we proposed a cooperation model among sensors to expedite the classification
process. Our preliminary results show the proposed architecture and protocols are promising.
vehicle identification, wireless sensor networks, spectral analysis, distributed computing