MOBILE SENSORGROUP WITH SMART PATH FOR DETECTING TARGET AREA

Kuen-Liang Sue, Jing-Wei Lin

2010

Abstract

The aim of this study is to design an intelligent mechanism for exploring unknown target areas in a plant, such as oil pollution in ocean. To explore the target area efficiently, a smart sensing mechanism based on Incremental Clustering algorithm is proposed to cooperate with a small sensing network structure named Centralized SensorGroup (CSG). The operation processes and detection phases are provided and verified in the investigation. System performance is evaluated by observing the detection completeness and accuracy in different scenarios within a square experimental area of 100m*100m. No matter when large or small scenarios are explored, simulation results demonstrate that CSG cooperated with the smart sensing mechanism has quite good detection accuracy and efficiency and can achieve the purpose of exploring target area efficiently and effectively.

References

  1. Liang, Y. et al. (2006). A Review of Control and Localization for Mobile Sensor Networks. Proceedings of Intelligent Control and Automation, 2, 9164-9168.
  2. Dantu, K. et al. (2005). Robomote: enabling mobility in sensor networks. Proceedings of Information Processing in Sensor Networks, 404-409.
  3. Hu, L. and Evans, D. (2004). Localization for mobile sensor networks. Proceedings of the 10th conference on Mobile computing and networking, 45-57.
  4. Clark, J. and Fierro, R. (2005). Cooperative hybrid control of robotic sensors for perimeter detection and tracking. 2005 American Control Conference, 5, 3500-3505.
  5. Casbee, D. W. et al. (2006). Cooperative forest fire surveillance using a team of small unmanned air vehicles. International Journal of Systems Sciences, 37(6), 351-360.
  6. Wang, G. et al. (2005). Sensor relocation in mobile sensor networks. Proceedings of the 24th IEEE Computer and Communications Societies, 4, 2302-2312.
  7. Jain, A. K. et al. (1999). Data Clustering: A Review. ACM Computing Surveys, 31(3) 122-130.
  8. Law, H. C., Jain, A. K. 2005. Data Clustering: A User's Dilemma. Proceedings of Pattern Recognition and Machine Intelligence, 3776, 1-10.
  9. Ester, M. et al. (1998). Incremental Clustering for Mining in a Data Warehousing Environment. Proceedings of Very Large Databases, 24-27.
  10. Pons-Porrata, A. et al. (2005). An Incremental Clustering Algorithm Based on Compact Sets with Radius a. Proceedings of Progress in Pattern Recognition, Image Analysis and Applications, 3773, 518-527.
  11. Hong, X. et al. (1999). A group mobility model for ad hoc wireless networks. Proceedings of the 2nd international workshop on Modeling, Analysis and simulation of wireless and mobile systems, 53-60.
  12. Akcan, H. et al. (2006). GPS-Free node localization in mobile wireless sensor networks. Proceedings of the 5th international workshop on Data engineering for wireless and mobile access, 35-42.
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Paper Citation


in Harvard Style

Sue K. and Lin J. (2010). MOBILE SENSORGROUP WITH SMART PATH FOR DETECTING TARGET AREA . In Proceedings of the International Conference on Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2010) ISBN 978-989-8425-24-9, pages 36-41. DOI: 10.5220/0002981100360041


in Bibtex Style

@conference{winsys10,
author={Kuen-Liang Sue and Jing-Wei Lin},
title={MOBILE SENSORGROUP WITH SMART PATH FOR DETECTING TARGET AREA},
booktitle={Proceedings of the International Conference on Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2010)},
year={2010},
pages={36-41},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002981100360041},
isbn={978-989-8425-24-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2010)
TI - MOBILE SENSORGROUP WITH SMART PATH FOR DETECTING TARGET AREA
SN - 978-989-8425-24-9
AU - Sue K.
AU - Lin J.
PY - 2010
SP - 36
EP - 41
DO - 10.5220/0002981100360041