Abstract
The independent positioning mechanism can reduce the difficulty of modeling, it is more complex for wireless sensor networks which is a new application of electronic technology to use in the marine environment than in terrestrial environments. It was established of the relationship between the distance of beacon nodes and unknown nodes, and the Taylor series was used in a manner based on the traditional centroid algorithm idea on underwater sensor networks node distribution of two dimensional and three-dimensional respectively on linear approximation in this paper. Simulation results show that: it can achieve the node in the effective two-and three-dimensional positioning on using the linear approximation of the Taylor series and it can be realized by electronic technology.
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References
Cui, J.H., Kong, J., Gerla, M., Zhou, S.: The challenges of building scalable mobile underwater wireless sensor networks for aquatic applications. IEEE Network 20(3), 12 (2006)
Bulusu, N., Heidemann, J., Estrin, D.: Density adaptive algorithms for beacon placement in Wireless sensor networks. In: Proceedings of IEEE ICDCS 2001, Phoenix, AZ (April 2001)
Mao, G., Fidan, B., Anderson, B.: Wireless sensor network localization techniques. Computer Networks 51(10), 2529–2553 (2007)
Chandrasekhar, V., Seah, W.K.G., Choo, Y.S., Ee, H.V. (eds.): Localization in underwater sensor networks: survey and challenges. ACM (2006)
Sheng, X., Hu, Y.H.: Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensor networks. IEEE Transactions on Signal Processing 53(1), 44–53 (2005)
Heidemann, J., Ye, W., Wills, J., Syed, A., Li, Y. (eds.): Research challenges and applications for underwater sensor networking. IEEE (2006)
Cheng, W., Teymorian, A.Y., Ma, L., Cheng, X., Lu, X., Lu, Z. (eds.): Underwater localization in sparse 3d acoustic sensor networks. IEEE (2008)
Teymorian, A.Y., Cheng, W., Ma, L., Cheng, X., Lu, X., Lu, Z.: 3d underwater sensor network localization. IEEE Transactions on Mobile Computing, 1610–1621 (2009)
Niculescu, D.: Positioning in ad hoc sensor networks. IEEE Network 18(4), 24–29 (2004)
Rice, J.: Telesonar signaling and Seaweb underwater wireless networks. Space and Naval Warfare Systems Center, San Diego (2001)
Angeline Peter, J.: Using Selection to improve Particle Swarm Optimization. In: Proceedings of the IEEE Congress on Evolutionary Computation, ICEC, pp. 84–89 (1998)
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© 2012 Springer-Verlag Berlin Heidelberg
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Zhang, H. (2012). Underwater Sensor Network Nodes Self-localization in Electronic Technology. In: Jin, D., Lin, S. (eds) Advances in Mechanical and Electronic Engineering. Lecture Notes in Electrical Engineering, vol 177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31516-9_85
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DOI: https://doi.org/10.1007/978-3-642-31516-9_85
Publisher Name: Springer, Berlin, Heidelberg
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