Abstract
Short-time traffic flow prediction in particular systems will expedite discovering of an optimal path for packet transmitting in dynamic wireless networks. The main goal is to predict traffic overload while changing a network topology. Machine learning techniques and process mining can help analyze traffic produced by several moving nodes. Several related approaches are observed. Research framework structure is presented. The idea of process mining approach is proposed.
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© 2012 Springer-Verlag Berlin Heidelberg
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Krinkin, K., Kalishenko, E., Prakash, S.P.S. (2012). Process Mining Approach for Traffic Analysis in Wireless Mesh Networks. In: Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networking. ruSMART NEW2AN 2012 2012. Lecture Notes in Computer Science, vol 7469. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32686-8_24
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DOI: https://doi.org/10.1007/978-3-642-32686-8_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32685-1
Online ISBN: 978-3-642-32686-8
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