Traffic Management Algorithm for V2X-Based Flying Fog System

V2X system support a large number of new services and protocols, therefore, moving to integrated interaction with the surrounding information space, defined as V2X interoperability, should ensure the interoperability of the various networks and systems involved in providing services to users [5]. The data must be transmitted with low latency and high speed between vehicles. This requires the introduction of a new high-speed network, advanced road transport, and telecommunications infrastructure. To ensure the effective functioning of V2X networks, in this paper we propose to use flying fog computing for a reliable and efficient system for simulation model, we used a UAVs as a base station (BS) equipped by a controller (CU) that provide execution of the requests arriving from the users equipment located in the communication range of the BS. Users that are connected with the BS requests flow that arrive at CU, we assume that one cloud server (CS) can serve a number of UAVs. CU is described as a service system which provides execution of some requests simultaneously. We assume that the execution of each request flow from users needs a fixed amount of energy. We’ve noticed that in the case of low traffic intensity the delay value increases with increasing of the part of traffic forwarded to the cloud, the energy consumption lower if the part of redirected traffic is bigger. © 2021, Springer Nature Switzerland AG.

Authors
AlSweity M.1 , Muthanna A. 1, 2 , Elgendy I.A.3, 4 , Koucheryavy A. 1
Publisher
Springer Science and Business Media Deutschland GmbH
Language
English
Pages
32-41
Status
Published
Volume
13144 LNCS
Year
2021
Organizations
  • 1 The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Pr. Bolshevikov, 22, St. Petersburg, 193232, Russian Federation
  • 2 Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, Moscow, 117198, Russian Federation
  • 3 School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
  • 4 Department of Computer Science, Faculty of Computers and Information, Menoufia University, Shibin el Kom, 32511, Egypt
Keywords
5G; Core network; Dynamic algorithm; Edge computing
Date of creation
06.07.2022
Date of change
06.07.2022
Short link
https://repository.rudn.ru/en/records/article/record/84430/
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