Cluster-Based Vehicle-to-Everything Model with a Shared Cache

Andrei Vladyko, Gleb Tambovtsev, Elena Podgornaya, Samia Allaoua Chelloug (), Reem Alkanhel and Pavel Plotnikov ()
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Andrei Vladyko: Faculty of Fundamental Training, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Prospekt Bolshevikov 22-1, 193232 Saint Petersburg, Russia
Gleb Tambovtsev: Faculty of Fundamental Training, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Prospekt Bolshevikov 22-1, 193232 Saint Petersburg, Russia
Elena Podgornaya: Faculty of Fundamental Training, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Prospekt Bolshevikov 22-1, 193232 Saint Petersburg, Russia
Samia Allaoua Chelloug: Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
Reem Alkanhel: Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
Pavel Plotnikov: Faculty of Fundamental Training, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Prospekt Bolshevikov 22-1, 193232 Saint Petersburg, Russia

Mathematics, 2023, vol. 11, issue 13, 1-19

Abstract: This paper presents an analysis of the effectiveness of the element interaction model in a vehicular ad hoc network (VANET). An analysis of the mathematical model and its numerical solution for the system of boundary device interactions in the traditional configuration of roadside unit (RSU) placement using single- and dual-channel connection between on-board units (OBU) and RSU is given. In addition, the model efficiency is improved using a clustering approach. The efficiency evaluation is based on calculating the percentage of unprocessed requests generated by OBUs during their mobility, the average power consumption and the magnitude of the delay in transmitting and processing the generated requests in the OBU–RSU system. The traditional and cluster models are compared. The results obtained in this paper show that each of the proposed models can be effectively implemented in mobile nodes and will significantly reduce the overall expected query processing time to improve the organization and algorithmic support of VANET. Along with this, it is shown that the developed approach allows for efficient power consumption when combining RSUs into clusters with a shared cache. The novelty of solving the problems is due to the lack of a comprehensive model that allows the distribution and prediction of the parameters and resources of the system for different computational tasks, which is essential when implementing and using V2X technology to solve the problems of complex management of VANET elements.

Keywords: vehicular communications; vehicle-to-everything; edge computing; computation capability; shared cache (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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