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Classification of Object Tracking Techniques in Wireless Sensor Networks

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DOI: 10.4236/wsn.2011.34014    7,749 Downloads   16,956 Views   Citations
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ABSTRACT

Object tracking is one of the killer applications for wireless sensor networks (WSN) in which the network of wireless sensors is assigned the task of tracking a particular object. The network employs the object tracking techniques to continuously report the position of the object in terms of Cartesian coordinates to a sink node or to a central base station. A family tree of object tracking techniques has been prepared.In this paper we have summarized the object tracking techniques available so far in wireless sensor networks.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

M. Fayyaz, "Classification of Object Tracking Techniques in Wireless Sensor Networks," Wireless Sensor Network, Vol. 3 No. 4, 2011, pp. 121-124. doi: 10.4236/wsn.2011.34014.

References

[1] Y. Q. Xu, J. L. Winter and W.-C. Lee. “Prediction Based Strategies for Energy Saving in Object Tracking Sensor Net-works,” Proceedings of IEEE International Conference on Mobile Data Management, Berkeley, 19-24 January 2004, pp. 346-357.
[2] H. Yang and B. Sikdar. “A Protocol for Tracking Mobile Targets Using Sensor Networks,” Proceedings of IEEE Workshop on Sensor Network Protocols and Applications Anchogare, May 2003, pp. 71-81. doi:10.1109/SNPA.2003.1203358
[3] E. Olule, G. J. Wang, M. Y. Guo and M. X. Dong, “RARE: An Energy-Efficient Target Tracking Protocol for Wireless Sensor Networks,” Prceedings of IEEE International Conference on Parallel Processing Workshops, Xian, 10-14 September 2007, pp. 76-82.
[4] J. Aslam, Z. Butler et. al. “Tracking a Moving Ob-ject with a Binary Sensor Network,” Proceedings of the 1st International Conference on Embedded Networked Sensor Systems, Los Angeles, 5-7 November 2003, pp. 150-171. doi:10.1145/958491.958509
[5] C.-Y. Lin, W. -S. Peng and Y.-C. Tseng, “Efficient In Network Moving Object Tracking in Wireless Sensor Networks,” IEEE Transactions on Mobile Computing, Vol. 5, No. 8, August 2006, pp. 1044-1056.
[6] H. T. Kung and D. Vlah. “Efficient Location Tracking Using Sensor Networks,” Proceedings of IEEE Wire-less Communications and Networking Conference, New Orleans, Vol. 3, March 2003, pp. 1954-1961.
[7] W. S. Zhang and G. H. Cao. “DCTC: Dynamic Convoy Tree-Based Collaboration for Target Tracking in Sensor Networks,” IEEE Transactions on Wireless Communications, Vol. 3, No. 5, September 2004, pp. 1689-1701.
[8] C.-Y. Lin and Y.-C. Tseng. “Structures for In-Network Moving Object Tracking in Wireless Sensor Networks,” Proceedings of the 1st International Conference on Broadband Networks, San Jose, 25-29 October 2004, pp. 718-727.
[9] W. S Zhang, G. H. Cao. “MobiHoc Poster: Optimizing Tree Reconfiguration to Track Mobile Targets in Sensor Networks,” Mobile Computing and Communications Review, Vol. 7, No. 3, July 2003, pp. 39-40.
[10] Mohsin Fayyaz. “Object Tracking in Wireless Sensor Networkls,” MSc Project Report, Department of Electronic Engineering, Queen Mary University of London, London, 2008.
[11] T. He, S. Krishnamurthy, et. al. “Energy-Efficient Surveillance System Using Wireless Sensor Networks,” Proceedings of the 2nd ACM International Conference on Mobile Systems, Applications and Services, Boston, 6-9 June 2004, pp. 270-283. 1-58113-793-1/04/0006 doi:10.1145/990064.990096
[12] N. Shrivastava, R. Mudumbai, et. al. “Target Tracking with Binary Proximity Sensors: Fundamental Limits, Minimal Descriptions and Algorithms,” Proceedings of the 4th ACM International Conference on Em-bedded Network Sensor Systems, Boulder, 1-3 November 2006, pp. 251-264.
[13] S. Oh, L. Schenato, et. al. “A Hierarchical Multiple-Target Tracking Algorithm for Sensor Networks,” Proceedings of IEEE International Conference on Robotics and Automation, Barcelona, 18-22 April 2005, pp. 2197-2202.

  
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