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Process Mining Approach for Traffic Analysis in Wireless Mesh Networks

  • Kirill Krinkin
  • Eugene Kalishenko
  • S. P. Shiva Prakash
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7469)

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.

Keywords

Wireless mesh networks adaptive routing process mining traffic hotspots power aware metric 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Kirill Krinkin
    • 1
  • Eugene Kalishenko
    • 2
  • S. P. Shiva Prakash
    • 3
  1. 1.Open Source and Linux Lab.Saint PetersburgRussia
  2. 2.Computer Science Dept.Saint Petersburg Electrotechnical University “LETI”Saint PetersburgRussia
  3. 3.Mobile Innovation Lab.Sri Jayachamarajendra College of EngineeringMysoreIndia

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