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Performance Optimization by Using Artificial Neural Network Algorithms in VANETs

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dc.contributor.authorKarabulut, Muhammet Ali
dc.contributor.authorShah, A. F. M. Shahen
dc.contributor.authorIlhan, Haci
dc.date.accessioned2026-06-27T14:16:58Z
dc.date.issued2019
dc.description.abstractThe IEEE 802.11 standard provides specifications of medium access control (MAC) layer for VANET. The performance can be optimized by optimizing contention window size. In this paper, to optimize the performance in VANETs three different artificial neural network (ANN) algorithms are used to find the optimum contention window (CW) size which are Particle Swarm Optimization (PSO), Differential Evolution Algorithm (DEA) and Artificial Bee Colony Algorithm (ABCA). Performance comparison among PSO, DEA, ABCA and traditional MAC based on IEEE 802.11 is provided. The simulation results show that the ANN algorithms improve the communication reliability by increasing the throughput and decreasing the packet dropping rate (PDR).en
dc.description.sponsorshipScientific Research Projects Coordinators of Yildiz Technical University [FDK-2018-3405, FDK-2018-3436]
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [118E701]
dc.description.urihttps://doi.org/10.1109/tsp.2019.8768830
dc.identifier.doi10.1109/tsp.2019.8768830
dc.identifier.endpage636
dc.identifier.isbn978-1-7281-1864-2
dc.identifier.startpage633
dc.identifier.urihttps://hdl.handle.net/20.500.14981/58776
dc.identifier.wos000493442800139
dc.language.isoeng
dc.publisherIEEE
dc.relation.conference42nd International Conference on Telecommunications and Signal Processing (TSP)
dc.relation.ispartof2019 42ND INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP)
dc.subjectABCA
dc.subjectDEA
dc.subjectIEEE 802.11
dc.subjectMAC
dc.subjectoptimization
dc.subjectPSO
dc.subjectVANETs
dc.subjectDIFFERENTIAL EVOLUTION
dc.subjectEngineering
dc.subjectTelecommunications
dc.titlePerformance Optimization by Using Artificial Neural Network Algorithms in VANETs
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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