Traffic Management Algorithm for V2X-Based Flying Fog System

Malik AlSweity, Ammar Muthanna*, Ibrahim A. Elgendy, Andrey Koucheryavy

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationDistributed Computer and Communication Networks
Subtitle of host publicationControl, Computation, Communications - 24th International Conference, DCCN 2021, Revised Selected Papers
EditorsVladimir M. Vishnevskiy, Dmitry V. Kozyrev, Konstantin E. Samouylov, Dmitry V. Kozyrev
PublisherSpringer Science and Business Media Deutschland GmbH
Pages32-41
Number of pages10
ISBN (Print)9783030925062
DOIs
StatePublished - 2021
Externally publishedYes
Event24th International Conference on Distributed and Computer and Communication Networks, DCCN 2021 - Moscow, Russian Federation
Duration: 20 Sep 202124 Sep 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13144 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference24th International Conference on Distributed and Computer and Communication Networks, DCCN 2021
Country/TerritoryRussian Federation
CityMoscow
Period20/09/2124/09/21

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Keywords

  • 5G
  • Core network
  • Dynamic algorithm
  • Edge computing

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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