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Dynamic Rectangle Zone-based Collaboration Mechanism for Continuous Object Tracking in Wireless Sensor Networks  

Park, Bo-Mi (충남대학교 컴퓨터공학과)
Lee, Eui-Sin (충남대학교 컴퓨터공학과)
Kim, Tae-Hee (충남대학교 컴퓨터공학과)
Park, Ho-Sung (충남대학교 컴퓨터공학과)
Lee, Jeong-Cheol (충남대학교 컴퓨터공학과)
Kim, Sang-Ha (충남대학교 컴퓨터공학과)
Abstract
Most existing routing protocols for object detection and tracking in wireless sensor networks concentrate on finding ways to detect and track one and more individual objects, e.g. people, animals, and vehicles, but they do not be interested in detecting and tracking of continuous objects, e.g., poison gas and biochemical. Such continuous objects have quite different properties from the individual objects since the continuous objects are continuously distributed across a region and usually occupy a large area, Thus, the continuous objects could be detected by a number of sensor nodes so that sensing data are redundant and highly correlated. Therefore, an efficient data collection and report scheme for collecting and locally aggregating sensing data is needed, In this paper, we propose the Continuous Object Tracking Mechanism based on Dynamic Rectangle Zone for detecting, tracking, and monitoring the continuous objects taking into account their properties.
Keywords
Wireless sensor networks; Continuous object; Diffusion; Dynamic rectangle zone;
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1 J. Polastre, R. Szewczyk, and D. Culler, "Telos: Enabling Ultra-Low Power Wireless Research," IEEE Information Processing in Sensor Networks, April 2005   DOI
2 I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, and F. Cayirci, “Wireless sensor networks: A survey,” Computer Networks, vol.38, no.4, pp.393-422, Mar. 2002   DOI   ScienceOn
3 K. Chintalapudi and R. Govindan, "Localized edge detection in sensor fields," IEEE International Conference on Communications Workshop on Sen-sor Network Protocols and Applications, April 2003   DOI
4 J. Albowitz, A. Chen, and L. Zhang, "Recursive Position Estimation in Sensor Networks," IEEE International Conference on Network Protocols, 2001
5 Scalable Network Technologies, Qualnet, [online] available: http://www.scalable-networks.com
6 M. Chu, H. Haussecker, and F. Zhao, “Scalable information-driven sensor querying and routing for ad hoc heterogeneous sensor networks,” Inter-national Journal of High Performance Computing Applications, vol.16, no.3, pp.90-110, 2002   DOI
7 W. Zhang and G. Cao, “DCTC: Dynamic Convoy Tree-Based Collaboration for Target Tracking in Sensor Networks,” IEEE Transactions on Wireless Communications, vol.3, pp.1689-1701, Sep. 2004   DOI   ScienceOn
8 X. Ji, H. Zha, J. Metzner, and G. Kesidis, “Dynamic Cluster Structure for Object Detection and Tracking in Wireless Ad-Hoc Sensor Networks,” IEEE International Conference on Com-munications, June 2004   DOI