Research of Event Localization in WSN Environmental Monitoring Based on Mobile Agent

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Abstract:

Traditional events in WSN monitoring are usually localized based on beacon nodes. But due to the cost of this kind of node is hundreds times more than an ordinary one’s, localization algorithms can't ignore the sparse beacon nodes problem. In this paper, a novel event localization method based on mobile agent is proposed. By using the mobile agent which can dynamically enter and exit a network and autonomously clone and migrate themselves in response to environmental events, the proposed algorithm moves the processing function to the nodes in event area and identifies the boundary of the area by two-neighbor graph algorithm. Then the accurate location of event can be got and the approximate location where the event happens will be reported. Extensive simulation shows that the proposed method exhibits better performance in terms of energy consumption and the packet delivery ratio.

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265-268

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July 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] A.H. S, A. Tarighat, N. Khajehnouri. Net-work Based Wireless Location. IEEE signal processing magazine, 2005(5): 24-40.

DOI: 10.1109/msp.2005.1458275

Google Scholar

[2] L. SMihail, V. Ramadurai. Localization of Wireless Sensor Networks with a Mobile Beacon [C] Florida: Proceedings of 1st IEEE Conference on Mobile Ad-hoc and Sensor Systems, 2004: 174-183.

DOI: 10.1109/mahss.2004.1392104

Google Scholar

[3] M. Kushwaha, K. Molnar. Sensor node localization using mobile acoustic beacons [C]. Washington: Proceedings of 2nd IEEE International Conference on Mobile Ad-hoc and Sensor Systems, 2005: 483-491.

DOI: 10.1109/mahss.2005.1542835

Google Scholar

[4] J. Luo, V. Shuklah, J.P. Hubaux. Non-interactive location surveying for sensor networks with mobility differentiated TOA[C]. Barcelona: Proceedings of 25th IEEE Conference on Computer Communication, 2006: 1-12.

DOI: 10.1109/infocom.2006.190

Google Scholar

[5] S. Lee. Localization with a mobile beacon based on geometric constraints in wireless sensor networks [J]. IEEE Transactions on Wireless Communications, 2009: 1-5.

DOI: 10.1109/twc.2009.12.090319

Google Scholar

[6] C.L. Fok, G.C. Roman, C.Y. Lu. Agilla: A Mobile Agent Middleware for Self-Adaptive Wireless Sensor Networks. ACM Transactions on Autonomous and Adaptive Systems, Vol. 4, No. 3, Article 16, Publication date: July (2009).

DOI: 10.1145/1552297.1552299

Google Scholar

[7] XiangNan Liu, Ming Chen, GuoFu Feng, Tao Chi, Wireless Sensor Network Clustering Algorithm Based on Fuzzy Boundary Detection. Computer Systems & Applications. Vol. 20, No. 10, 2011: 63-66.

Google Scholar