Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 55-65 |
| Number of pages | 11 |
| Journal | International Journal of Sensor Networks |
| Volume | 3 |
| Issue number | 1 |
| Early online date | 30 Dec 2007 |
| Publication status | Published - 2008 |
| Externally published | Yes |
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Keywords
- moving object counting
- wireless sensor networks
- ultrasound
- clustering
Cite this
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MOCUS : moving object counting using ultrasonic sensor networks. / CHEN, Quanbin; GAO, Min; MA, Jian; ZHANG, Dian; NI, Lionel M.; LIU, Yunhao.
In: International Journal of Sensor Networks, Vol. 3, No. 1, 2008, p. 55-65.Research output: Journal Publications › Journal Article (refereed) › Research › peer-review
TY - JOUR
T1 - MOCUS : moving object counting using ultrasonic sensor networks
AU - CHEN, Quanbin
AU - GAO, Min
AU - MA, Jian
AU - ZHANG, Dian
AU - NI, Lionel M.
AU - LIU, Yunhao
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
KW - moving object counting
KW - wireless sensor networks
KW - ultrasound
KW - clustering
M3 - Journal Article (refereed)
VL - 3
SP - 55
EP - 65
JO - International Journal of Sensor Networks
JF - International Journal of Sensor Networks
SN - 1748-1279
IS - 1
ER -