E3S Web of Conferences. Vol. 420. 2023.
Customer Behaviour Agent-Modelling Based Upon Wireless Traffic Analysis
Present article is devoted to development of agent model for customer behaviour prediction based upon public wireless network traffic analysis. Fundamental approach to wireless package characteristic analysis allowing identifying client transition through multiple coverage areas of public wireless infrastructure is proposed. Detailed data tuples analysis allows evaluating frequency characteristics and transition probabilities. Agent model implemented with AnyLogic software and based upon traffic data of public wireless networks of a trade centre. © 2023 American Institute of Physics Inc.. All rights reserved.
Authors
Timokhin V.N. , Rostetskaya A.R. , Medvedeva M.A.
Conference proceedings
Issue number
1
Language
English
State
Published
Number
090019
Volume
2849
Year
2023
Organizations
- 1 Department of Economic Cybernetics, Donetsk National Technical University, Artema str. 131, Donetsk, 283001, Ukraine
- 2 The Peoples' Friendship University of Russia, Miklukho-Maklaya str. 6, Moscow, 117198, Russian Federation
- 3 Ural Federal University, IRIT-RTF, Mira 32, Ekaterinburg, 620078, Russian Federation
Keywords
agent modelling; customer behaviour prediction; wireless network traffic
Share
Other records
Pakistan Journal of Ophthalmology. Vol. 39. 2023. P.. 349-353