Optimal Deployment for Mobile Target Tracking in Sensor Networks

Ying Chi Mao

doi:10.4028/www.scientific.net/AMR.468-471.1657

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 468-471Optimal Deployment for Mobile Target Tracking in...

Optimal Deployment for Mobile Target Tracking in Sensor Networks

Abstract:

Mobile target tracking is a key application of wireless sensor network-based surveillance systems. Sensor deployment is an important factor in tracking performance and remains a challenging problem. In this paper, we address the problem of optimal sensor deployment for mobile target tracking. We analyze the tracking performance of three patterns. Simulation results demonstrate that the irregular pattern outperforms the other two patterns.

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Periodical:

Advanced Materials Research (Volumes 468-471)

Pages:

1657-1660

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.468-471.1657

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Online since:

February 2012

Authors:

Ying Chi Mao

Keywords:

Irregular Pattern, Mobile Target Tracking, Optimal Deployment, Wireless Sensor Network (WSN)

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References

[1] A. Ababnah and B. Natarjan, "Optimal sensor deployment for value-fusion based detection", Proc. of IEEE GLOBAL Communications Conference (GLOBECOM), 2009.

DOI: 10.1109/glocom.2009.5425594

Google Scholar

[2] Z. Yuan, R. Tan, G. Xing, C. Lu, Y. Chen, and J. Wang, "Fast sensor placement algorithms for fusion-based target detection", Proc. of 29th IEEE Real-Time Systems Symposium (RTTS), 2008.

DOI: 10.1109/rtss.2008.39

Google Scholar

[3] Z. Zhong, T. Zhu, D. Wang, and T. He, "Tracking with unreliable node sequences", Proc. of 28th IEEE International Conference on Computer Communications (INFOCOM), 2009.

DOI: 10.1109/infcom.2009.5062035

Google Scholar

[4] X. Bai, S. Kumar, D. Xuan, Z. Yun, and T. H. Lai, "Deploying wireless sensors to achieve both coverage and connectivity", Proc. of 7th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2006.

DOI: 10.1145/1132905.1132921

Google Scholar

[5] X. Bai, Z. Yun, D. Xuan, W. Jia, and W. Zhao, "Pattern mutation in wireless sensor deployment", Proc. of 29th IEEE International Conference on Computer Communications (INFOCOM), 2010.

DOI: 10.1109/infcom.2010.5462076

Google Scholar

[6] Y. C. Wang, C. C. Hu, and Y. C. Tseng, "Efficient placement and dispatch of sensors in a wireless sensor network", IEEE Transactions on Mobile Computing, vol. 7(2), 2008.

DOI: 10.1109/tmc.2007.70708

Google Scholar

[7] B. Grunbaum and G. C. Shephard, "Tiling and patterns", W. H. Freeman and Company, 1987.

Google Scholar