MOCUS : moving object counting using ultrasonic sensor networks

Quanbin CHEN*, Min GAO, Jian MA, Dian ZHANG, Lionel M. NI, Yunhao LIU

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

18 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)55-65
Number of pages11
JournalInternational Journal of Sensor Networks
Issue number1
Early online date30 Dec 2007
Publication statusPublished - 2008
Externally publishedYes


  • moving object counting
  • wireless sensor networks
  • ultrasound
  • clustering


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