Target Tracking Cluster-Based Control in a Dynamic Environment

Wen Zhen Zhou; Zhi Zhuang Liu

doi:10.4028/www.scientific.net/AMM.556-562.3101

Paper Titles

Transformer Automatic Test System Based on Virtual Instrument
p.3084

Research of Tracking Algorithm for Moving Object Based on Video Sequence
p.3088

Research on the Technology of Data Transmission and Position Detection Based on Induction Radio
p.3093

A New Method Based on Photogrammetry for Hull’s Deformation Measurement and its Accuracy Analysis
p.3097

Target Tracking Cluster-Based Control in a Dynamic Environment
p.3101

Research for the Crack Dynamic Monitoring of Marine Diesel Engine
p.3107

A Monitoring and Fault Diagnosis System for Aero-Engine Pipeline Based on Distributed Fiber Bragg Grating Sensor
p.3112

Cooperative Navigation for Multiple AUVs Based on Relative Range Measurements with a Single Leader
p.3117

Research on Measurement Method of Rotational Angle of Plane Rudder Based on ADXL345 Sensor
p.3124

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Target Tracking Cluster-Based Control in a Dynamic...

Target Tracking Cluster-Based Control in a Dynamic Environment

Abstract:

Aiming at cluster control methods existing network fragmentation, formations loss and poor tracking performance problems in mobile sensor network target tracking, a novel adaptive cluster control method is proposed to track moving target in a dynamic environment. In the proposed method, each agent gets parameters of the network in a decentralized way in order to determine the range of the network. Therefore, connectivity of the network, formation and tracking performance can be improved when it meets obstacles. In addition, in order to verify the effectiveness of the proposed method, some experiments have been performed to compare the proposed method with other existing methods. And experiments have demonstrated the effectiveness of the proposed method.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

3101-3106

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.3101

Citation:

Cite this paper

Online since:

May 2014

Authors:

Wen Zhen Zhou, Zhi Zhuang Liu*

Keywords:

Cluster Control, Sensor Network, Target Tracking

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] A.V. S. Kumar, B. A. kumar, A. I. Alrabea, et al. RNIS: Research Notes in Information Science, Vol. 9, (2012), pp.12-18.

Google Scholar

[2] Reza Olfati-saber. IEEE Transactions on Automatic Control, Vol. 51, No. 3, (2006), pp.401-420.

Google Scholar

[3] S. Chinara, S.K. Rath. TACA: Topology Adaptive Clustering Algorithm for Mobile Ad Hoc Network. In Proceedings of ICWN, (2009), pp.391-397.

Google Scholar

[4] Northouse, A. F. Richard, S. King. Man and Cybernetics, Vol. 3, No. 3, (1973), pp.225-234.

Google Scholar

[5] L. Geunho, C. N. Young. IEICE Transactions on Communications, Vol. 91, No. 9, (2010), pp.2848-2855.

Google Scholar

[6] P. Ogren, E. Fiorelli, and N. E. Leonard. IEEE Transactions on Automatic Control, Vol. 49, No. 8, (2006), pp.1292-1302.

Google Scholar

[7] T. Zhang, J. S. He, X. H. Li, et al. Journal of Convergence Information Technology, Vol. 7, (2012), pp.10-16.

Google Scholar

[8] G. F. Yin. Journal of Convergence Information Technology, Vol. 7, No. 7, (2012), pp.123-129.

Google Scholar

[9] S. Deng. Wireless Sensor Systems, Vol. 1, No. 1, (2011), pp.39-47.

Google Scholar

[10] H. Hur. An Adaptive Clustering Algorithm with Power Control in Wireless Sensor Networks. In 4th International Conference on Innovations in Information Technology, (2007), pp.18-20.

DOI: 10.1109/iit.2007.4430499

Google Scholar