Based on Genetic Algorithm for Wireless Sensor Network Node Self-Localization

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Abstract:

Wireless sensor network node positioning technology is one of the key technologies. Due to self-localization of sensor nodes in the process of positioning accuracy is not high, In this paper, the genetic algorithm approach to take, through the evolution of control, making the location of the nodes for continuous progress toward the optimal solution, in order to achieve continuous process of node positioning optimization. Simulation results show that the evolution of the genetic algorithm control, can reduce errors, improve positioning accuracy.

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Periodical:

Advanced Materials Research (Volumes 482-484)

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1225-1228

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February 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Tian He, Chengdu Huang , Brian M Blum , et al . Range-Free Localization Schemes in Large Scale Sensor Networks [C] / Proceedings of the 9th Annual Inter2 National Conference on Mobile Computing and Networking (MobiCom) , San Diego , California , USA : ACM Press , 2003: 81-95.

DOI: 10.1145/938985.938995

Google Scholar

[2] Cui JH, Kong J, Gerla M, Zhou S. The challenges of building scalable mobile underwater wireless sensor networks for aquatic applications. IEEE NETWORK. 2006; 20(3): 12.

DOI: 10.1109/mnet.2006.1637927

Google Scholar

[3] N. Bulusu, J. Heidemann and D. Estrin. Density adaptive algorithms for beacon placement in Wireless sensor networks: In Proceedings of IEEE ICDCS'01, Phoenix, AZ. April (2001).

Google Scholar

[4] Chandrasekhar V, Seah WKG, Choo YS, Ee HV, editors. Localization in underwater sensor networks: survey and challenges2006: ACM.

DOI: 10.1145/1161039.1161047

Google Scholar

[5] Heidemann J, Ye W, Wills J, Syed A, Li Y, editors. Research challenges and applications for underwater sensor networking2006: IEEE.

Google Scholar

[6] Cheng W, Teymorian AY, Ma L, Cheng X, Lu X, Lu Z, editors. Underwater localization in sparse 3d acoustic sensor networks2008: IEEE.

DOI: 10.1109/infocom.2008.56

Google Scholar

[7] Y. Zou, K . Chakrabarty, Sensor Deployment and Target Localization in Distributed Sensor Networks[J], ACM Transactions on Embedded Computing Systems, 2004, 3 (1): 6 1-91.

DOI: 10.1145/972627.972631

Google Scholar

[8] Niculescu D. Positioning in ad hoc sensor networks. Network[J], IEEE2004; 18(4): 24-29.

Google Scholar

[9] Langendoen,K., Reijers,N. Distributed localization in wireless sensor networks: a quantitative comparison[J], Computer Networks, 2003, 43(4): 499-518.

DOI: 10.1016/s1389-1286(03)00356-6

Google Scholar

[10] Sheng X, Hu YH. Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensor networks. Signal Processing, IEEE Transactions on2005; 53(1): 44-53.

DOI: 10.1109/tsp.2004.838930

Google Scholar