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Enhanced SNR Based Admission Control Algorithm for Vehicular Ad-Hoc Network

Aws Zuhair SameenDepartment of Medical Instrumentation Engineering Techniques, Al-Farahidi University, IraqMohammed Hasan AlwanDepartment of Communications Engineering, University of Diyala, IraqMayssam Saad KadhumDepartment of Communications Engineering, University of Diyala, IraqYousif I. HammadiDep. of Medical Instruments Engineering Techniques, Bilad Alrafidain University College, IraqMokhalad Abdulameer Kadhim AlsaeediDepartment of Communications Engineering, University of Diyala, IraqAhmed AzizDepartment of computer science, Benha university, Egypt and International Business Management Department, Tashkent State University of Economics, UzbekistanMohammed Saleh Ali MuthannaInstitute of Computer Technologies and Information Security, Southern Federal University, Russia
2023en
ABI

Abstract

Vehicular Ad-hoc Network (VANET) becomes a fundamental subcategory of mobile ad-hoc networks that provides vehicles to communicate with each other and with roadside infrastructure smartly. Various VANET performance challenges are considered in terms of Quality of Service (QoS) due to vehicle speed and transmission rates. Different problems cause performance degradation as performance anomaly where high rates of vehicles have to meet the speed of the low rates vehicle while transmitting data. In this paper, a QoS-aware Signal to Noise Ratio (SNR) admission control mechanism (QASAC) is proposed to handle the performance anomaly problem while maintaining the QoS levels for different traffic types. QASAC has been compared against the latest SNR based admission control mechanism. QASAC has enhanced the performance of data delivery up to 23% in terms of data dropping rates for high priority traffic.

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