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MOCUS: moving object counting using ultrasonic sensor networks
by Quanbin Chen, Min Gao, Jian Ma, Dian Zhang, Lionel M. Ni, Yunhao Liu
International Journal of Sensor Networks (IJSNET), Vol. 3, No. 1, 2008

 

Abstract: Counting the number of moving objects in a given area has many practical applications. By investigating a series of state-of-the-art technologies, we propose a Moving Object Counting approach using Ultrasonic Sensor networks (MOCUS). In MOCUS, we deploy a network of three-node ultrasound sensor clusters, with each cluster having one ultrasound transmitting node and two ultrasound receiving nodes. Such three-node sensor clusters can successfully offset interference problems and accurately detect the direction of moving objects. In order to cover a wide area, MOCUS employs multiple sensor clusters, forming a wireless sensor network. To alleviate the impact of object moving velocity, shape of objects and distinguish closely tied multiple objects, we introduce intra-cluster analysis and inter-cluster cooperation techniques. We deploy a MOCUS prototype in our lab and evaluate the design through extensive experiments.

Online publication date: Sun, 30-Dec-2007

 

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