Abstract
In this paper we propose a novel clustering algorithm in mobile ad hoc network. By predicting the mobility of mobile nodes with the wavelet neural network, the resulting clustering algorithm can provide a generic and stable cluster structure for the upper-layer protocols. For this clustering scheme, we give analytical model and performance evaluation.
This work is supported by the NFSC (No.90204003), the National 863 Project (No. 2003AA121220 and No.2002AA103063), the National 973 project (No.2003CB314806) and The Excellent Young Teachers Program of MOE, P. R. China
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© 2005 Springer-Verlag Berlin Heidelberg
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Shang, Y., Guo, W., Cheng, S. (2005). Clustering Algorithm Based on Wavelet Neural Network Mobility Prediction in Mobile Ad Hoc Network. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427469_63
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DOI: https://doi.org/10.1007/11427469_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25914-5
Online ISBN: 978-3-540-32069-2
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