A Study of Mobile Node Localization Algorithm Based on Ranging MCL for WSN

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Abstract:

Node localization is one of the key technologies in wireless sensor network. This paper proposed an improved RBDMCL algorithm based on traditional MCL algorithm, which can reduce the sampling areas and improve the positioning accuracy by building a node motion model. Then concludes by simulation analysis and comparison that RBDMCL has higher positioning accuracy than MCL in the anchor node density and node velocity.

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2012-2018

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June 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] I.F. Akyildiz, w. Su, Y. Sankarasubramaniam, E. Cayirci. Wireless sensor networks: a survey[J]. Computer Networks, vol. 38, 2002, pp.393-341.

DOI: 10.1016/s1389-1286(01)00302-4

Google Scholar

[2] Aline Baggio, Koen Langendoen. Monte Carlo Localization for Mobile Wireless Sensor Networks[J]. Lecture Notes in Computer Science, 2006, 4325(11): 317-328.

DOI: 10.1007/11943952_27

Google Scholar

[3] Dil B, Dulman S, Havinga P J M. Range Based Localization in Mobile Sensor Networks[J]. Lecture Notes in Computer Science, 2006, 3868(2): 164-179.

DOI: 10.1007/11669463_14

Google Scholar

[4] Rudafshani M , Datta S. Localization in W ireless Sensor Networks[C]. / Proc of the 6th International Symposium on Information Processing in Sensor Networks. Massachusetts. 2007. 51-60.

DOI: 10.1109/ipsn.2007.4379664

Google Scholar

[5] Stevens N E, Vivekanandan V , W ong V W S. Dual and Mixture Monte Carlo Localization Algorithms for Mobile Wireless Sensor Networks[C]/ Proc of the IEEE Wireless Communications and Networking Conference, HongKong, 2007. 4027-4031.

DOI: 10.1109/wcnc.2007.735

Google Scholar

[6] Sag gio A , Langendoen K. Monte Carlo loc alization for Wireless Sensor Networks[C] /Proc of the 2nd Int'1 Conf on Mobile Ad-hoc and Sensor Networks(MSN 2006). Hong Kong: Springer verlag Press, 2006: 317-328.

DOI: 10.1007/11943952_27

Google Scholar

[7] Hu L, Evans D. Localization for Mobile sensor Networks[C]/Proceedings of the 10th Annum International Conference on Mobile Computing and Networking, 2004: 45-47.

DOI: 10.1145/1023720.1023726

Google Scholar