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Real-time multi-view vision systems using WSNs
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Symposium on Applied Computing archive
Proceedings of the 2009 ACM symposium on Applied Computing table of contents
Honolulu, Hawaii
SESSION: Wireless sensor networks track table of contents
Pages 2191-2196  
Year of Publication: 2009
ISBN:978-1-60558-166-8
Authors
Paolo Pagano  ReTiS laboratory, Scuola Superiore Sant'Anna, Pisa (I)
Francesco Piga  ReTiS laboratory, Scuola Superiore Sant'Anna, Pisa (I)
Yao Liang  Indiana University Purdue University Indianapolis, Indianapolis (IN)
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

Multi-View Vision systems are collaborative distributed applications devoted to image processing.

Applications based on Multi-View Vision systems can recognize shapes, track moving targets, etc. to activate alarms, or to propogate information through the network. These systems require Quality of Service from the network and real-time support at the Operating System level.

Wireless Sensor Networks (WSNs) were born for monitoring applications providing best effort services in non-critical environments. Nonetheless the recent evolution of hardware platforms, and the existence of real-time kernels as well as network stacks supporting real-time traffic let us envisage the deployment of WSNs to new domains like that of Multi-View Vision.

Hereby we discuss the feasibility of an object detection system based on vision and deployed through a WSN. For such a purpose, we implemented in the Real-Time Network Simulator (RTNS) a working model for image detection and in-network processing.

Referring to a simple star-shaped network scenario, we analyze the system performances from a real-time perspective.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
The C3188A-6018 Color Camera Module.
 
3
The C328-7640 VGA Camera Module.
 
4
A. Cervin, M. Ohlin, and D. Henriksson. Simulation of networked control systems using TrueTime. In Proc. 3rd International Workshop on Networked Control Systems: Tolerant to Faults, Nancy, France, June 2007. Invited talk.
 
5
A. Dunkels, B. Grnvall, and T. Voigt. Contiki -- a lightweight and flexible operating system for tiny networked sensors. In Proc. of the First IEEE Workshop on Embedded Networked Sensors (Emnets-I), Tampa, Florida, USA, Nov. 2004.
 
6
E.R.I.K.A. http://erika.sssup.it/.
 
7
The Flex board. http://www.evidence.eu.com/.
 
8
The Imote2 wireless module. www.xbow.com.
 
9
LAN-MAN Standards Committee of the IEEE Computer Society. Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (LR-WPANs). IEEE Press, 2003.
 
10
Information Sciences Institute (University of Southern California, Los Angeles CA, USA), The Network Simulator NS-2. http://www.isi.edu/nsnam/ns/.
 
11
 
12
P. Pagano, C. Nastasi, and Y. Liang. The Multivision problem for Wireless Sensor Networks: a discussion about Node and Network architecture. In International Workshop on Cyber-Physical Systems Challenges and Applications (CPS-CA08). Proc. of the DCOSS 2008 conference., Santorini island, Greece, June 2008. Invited talk.
 
13
 
14
The RTNS simulation suite. http://rtns.sssup.it.
 
15
Thomas Henderson et al. ns-3 project goals. citeseer.ist.psu.edu/753827.html.
 
16
J. Zheng and M. J. Lee. A comprehensive performance study of ieee 802.15.4. In Sensor Network Operations, pages 218--237. IEEE Press, Wiley Interscience, 2006.

Collaborative Colleagues:
Paolo Pagano: colleagues
Francesco Piga: colleagues
Yao Liang: colleagues