Abstract
In consideration of the large propagation delay in underwater acoustic communication and the limited energy of underwater acoustic sensor networks (UASNs), proposed a positioning method based on support vector regression (SVR). In UASNs, the multipath between nodes will lead to inaccurate measurement results, to solve this problem, proposed a data processing method and then used maximum likelihood estimation to estimate the true distance between nodes. Simulation results shows that the method proposed in this paper can achieve a good positioning accuracy.
Supported by the National Natural Science Foundation of China under Grant. No. 60972074.
Supported by Innovation Program of Shanghai Municipal Education Commission. No. 12zz151.
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Liu, G., Chen, X. (2012). A Positioning Research of Underwater Acoustic Sensor Networks Based on Support Vector Regression. In: Zhang, Y. (eds) Future Wireless Networks and Information Systems. Lecture Notes in Electrical Engineering, vol 144. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27326-1_2
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DOI: https://doi.org/10.1007/978-3-642-27326-1_2
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