The week's pick
Random Articles
Reseach Article
A New Adaptive Method for Target Tracking in Wireless Sensor Networks
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 22 - Number 9 |
| Year of Publication: 2011 |
| Authors: Elham Ahmadi, Masoud Sabaei, Mohamad Hosain Ahmadi |
10.5120/2612-3293
|
Elham Ahmadi, Masoud Sabaei, Mohamad Hosain Ahmadi . A New Adaptive Method for Target Tracking in Wireless Sensor Networks. International Journal of Computer Applications. 22, 9 ( May 2011), 21-29. DOI=10.5120/2612-3293
Abstract
These days mobile target tracking is considered as one of the important applications of wireless sensor networks. In this regard, the clustering structure is one of the most applicable network structures. In this paper, we suggested a new method for target tracking that makes adaptation with target mobility model. This method utilizes two tools to create adaptability which are changing the size and shape of clusters according to target mobility model. Also by combining static and dynamic clustering a semi dynamic clustering structure has been developed to implement these tools. Simulation results show that our suggested method decreases both energy consumption by decreasing clusters size when the target moves uniformly, and tracking error by changing the size and the shape of clusters according to target mobility when the target moves unpredictably.
References
- H. W. Tsai, C. P. Chu, T. S. Chen, “Mobile object tracking in wireless sensor networks,” Computer Communication, 2007, 30(8): 1811-1825.
- R. Gupta; S. R. Das. “Tracking Moving Targets in a Smart Sensor Network,” IEEE Veh.Technol. Conf. 2003; pp. 3035-3039.
- W. Zhang; G. Cao. “DCTC: Dynamic convoy tree-based collaboration for target tracking in sensor networks,” IEEE Transactions on Wireless Communications ,vol. 3, Sept. 2004.
- W.-P. Chen; J. C. Hou; and L. Sha. Dynamic clustering for acoustic target tracking in wireless sensor networks,” in Proc. 11th IEEE International Conference on Network Protocols 2003, pp. 284-294.
- Guang-yao Jin, Xiao-yi Lu and Myong-Soon Park, “Dynamic Clustering for Object Tracking in Wireless Sensor Networks,” 2006 International Symposium on Ubiquitous Computing Systems (UCS 2006), pp.200-209, Seoul, Korea, Oct. 11~13, 2006, (LNCS)(SCIE).
- Rahman, O., Choi, B.G., Monowar, M., Hong, C.S., “A Density Based Clustering for Node Management in Wireless Sensor Network,” Springer Verlag LNCS 2007, 4773, 527-530.
- Vincent S. Tseng; Eric Hsueh-Chan Lu. “Energy-efficient real-time object tracking in multi-level sensor networks by mining and redicting movement patterns,” The Journal of Systems and Software 2008.
- H, Yang; B. Sikdar.”A protocol for tracking mobile targets using sensor networks.” Proc. IEEE International Workshop on Sensor Networks Protocols and Applications, Anchorage, AK, 2003, pp. 71-81.
- In-Sook Lee; Zhen Fu; WenCheng Yang; Myong-Soon Park. “An Efficient Dynamic Clustering Algorithm for Object Tracking in Wireless Sensor Networks,” The 2nd International Conference on Complex Systems and Applications, June. 8-10,2007, pp.1484-1488.
- Sara Pino-Povedano, Francisco-Javier Gonzalez Serrano, “Distributed Tracking and Classification of Targets with Sensor Networks,” IEEE 2009.
- Guang-yao, J.; Xiao-yi, L.; Myong-soon, P. “Dynamic Clustering for object. tracking in wireless sensor networks,” Proceeding of 3rd International Symposium on Ubiquitous computing systems, Seoul, , 2006; pp. 200-209.
- HyunSook, K; Eunhwa, K; Kijun,H. An Energy Efficient Tracking Method in Wireless Sensor Networks. In Next Generation Teletraffic and Wired/Wireless Advanced Networking, Publisher: Springer Berlin / Heidelberg, 2006;4003, pp. 278- 286.
- Limin Meng; Kai Zhou; Jingyu Hua, Zhijiang Xu.” A Dynamic Clustering-Based Algorithm for Wireless Sensor Networks,” International Symposium on Computer Science and Computational Technology2008; pp. 720-723.
Index Terms
Keywords