A Study on Vehicle Detection and Tracking Using Wireless Sensor Networks
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Date
2010
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Abstract
Wireless Sensor network (WSN) is an emerging technology and has great potential to be employed in critical
situations. The development of wireless sensor networks was originally motivated by military applications
like battlefield surveillance. However, Wireless Sensor Networks are also used in many areas such as Industrial,
Civilian, Health, Habitat Monitoring, Environmental, Military, Home and Office application areas. Detection
and tracking of targets (eg. animal, vehicle) as it moves through a sensor network has become an increasingly
important application for sensor networks. The key advantage of WSN is that the network can be
deployed on the fiy and can operate unattended, without the need for any pre-existing infrastructure and with
little maintenance. The system will estimate and track the target based on the spatial differences of the target
signal strength detected by the sensors at different locations. Magnetic and acoustic sensors and the signals
captured by these sensors are of present interest in the study. The system is made up of three components for
detecting and tracking the moving objects. The first component consists of inexpensive off-the shelf wireless
sensor devices, such as MicaZ motes, capable of measuring acoustic and magnetic signals generated by vehicles.
The second component is responsible for the data aggregation. The third component of the system is
responsible for data fusion algorithms. This paper inspects the sensors available in the market and its
strengths and weakness and also some of the vehicle detection and tracking algorithms and their classification.
This work focuses the overview of each algorithm for detection and tracking and compares them based
on evaluation parameters.