Fuzzy-Logic Based Model for VANET Performance Metrics Analysis

Vehicular Ad-hoc Networks (VANETs) allows a spontaneous communication between vehicle to vehicles and road-side units(RSU) using wireless interfaces and road-side infrastructure to form Intelligent Transportation System (ITS). VANET, prime objective is to provide information about accidents or unwa...

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Main Authors: Shahnila Badar Baloch, Muhammad Tayyab Yaqoob, Asif Gulraiz, Rabbia Muhammad Qasmi
Format: Article
Language:English
Published: Sir Syed University of Engineering and Technology, Karachi. 2024-04-01
Series:Sir Syed University Research Journal of Engineering and Technology
Subjects:
Online Access:http://www.sirsyeduniversity.edu.pk/ssurj/rj/index.php/ssurj/article/view/625
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author Shahnila Badar Baloch
Muhammad Tayyab Yaqoob
Asif Gulraiz
Rabbia Muhammad Qasmi
author_facet Shahnila Badar Baloch
Muhammad Tayyab Yaqoob
Asif Gulraiz
Rabbia Muhammad Qasmi
author_sort Shahnila Badar Baloch
collection DOAJ
description Vehicular Ad-hoc Networks (VANETs) allows a spontaneous communication between vehicle to vehicles and road-side units(RSU) using wireless interfaces and road-side infrastructure to form Intelligent Transportation System (ITS). VANET, prime objective is to provide information about accidents or unwanted situations and traffic conditions to the drivers. As VANETs are dynamic in nature, the vehicle nodes to discover the best possible route to broadcast an emergency message is a challenge. To study different highway and urban road scenarios, there is a need to simulate and evaluate the network performance analysis of routing protocols beforehand since real-time implementation is rather challenging or expensive. This paper focuses on the VANET routing protocols evaluation, to find an appropriate protocol which provide suitable Quality of Service (QoS) to end users in both safety and non-safety conditions. To simplify the QoS evaluation problem, Hierarchical Fuzzy Inference System (HFIS) model has been designed and simulated in MATLAB R2018b that analysis the network performance metrics of VANET routing protocols. From the simulations, it is observed that that OLSR routing protocol for both safety and non-safety applications, outperforms other routing protocols as its global QoS reaches to approximately 84% efficiency.  
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institution Kabale University
issn 1997-0641
2415-2048
language English
publishDate 2024-04-01
publisher Sir Syed University of Engineering and Technology, Karachi.
record_format Article
series Sir Syed University Research Journal of Engineering and Technology
spelling doaj-art-3f46eef47f014fb8ade83e6677379f952025-08-20T03:32:24ZengSir Syed University of Engineering and Technology, Karachi.Sir Syed University Research Journal of Engineering and Technology1997-06412415-20482024-04-0114110.33317/ssurj.625Fuzzy-Logic Based Model for VANET Performance Metrics AnalysisShahnila Badar Baloch0Muhammad Tayyab Yaqoob1Asif GulraizRabbia Muhammad Qasmi2DHA SUFFA University KarachiDHA SUFFA University KarachiDHA SUFFA University Karachi Vehicular Ad-hoc Networks (VANETs) allows a spontaneous communication between vehicle to vehicles and road-side units(RSU) using wireless interfaces and road-side infrastructure to form Intelligent Transportation System (ITS). VANET, prime objective is to provide information about accidents or unwanted situations and traffic conditions to the drivers. As VANETs are dynamic in nature, the vehicle nodes to discover the best possible route to broadcast an emergency message is a challenge. To study different highway and urban road scenarios, there is a need to simulate and evaluate the network performance analysis of routing protocols beforehand since real-time implementation is rather challenging or expensive. This paper focuses on the VANET routing protocols evaluation, to find an appropriate protocol which provide suitable Quality of Service (QoS) to end users in both safety and non-safety conditions. To simplify the QoS evaluation problem, Hierarchical Fuzzy Inference System (HFIS) model has been designed and simulated in MATLAB R2018b that analysis the network performance metrics of VANET routing protocols. From the simulations, it is observed that that OLSR routing protocol for both safety and non-safety applications, outperforms other routing protocols as its global QoS reaches to approximately 84% efficiency.   http://www.sirsyeduniversity.edu.pk/ssurj/rj/index.php/ssurj/article/view/625Fuzzy LogicIntelligent Transportation SystemQuality of Service Routing Protocols Vehicular Ad-hoc Networks
spellingShingle Shahnila Badar Baloch
Muhammad Tayyab Yaqoob
Asif Gulraiz
Rabbia Muhammad Qasmi
Fuzzy-Logic Based Model for VANET Performance Metrics Analysis
Sir Syed University Research Journal of Engineering and Technology
Fuzzy Logic
Intelligent Transportation System
Quality of Service
Routing Protocols
Vehicular Ad-hoc Networks
title Fuzzy-Logic Based Model for VANET Performance Metrics Analysis
title_full Fuzzy-Logic Based Model for VANET Performance Metrics Analysis
title_fullStr Fuzzy-Logic Based Model for VANET Performance Metrics Analysis
title_full_unstemmed Fuzzy-Logic Based Model for VANET Performance Metrics Analysis
title_short Fuzzy-Logic Based Model for VANET Performance Metrics Analysis
title_sort fuzzy logic based model for vanet performance metrics analysis
topic Fuzzy Logic
Intelligent Transportation System
Quality of Service
Routing Protocols
Vehicular Ad-hoc Networks
url http://www.sirsyeduniversity.edu.pk/ssurj/rj/index.php/ssurj/article/view/625
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AT muhammadtayyabyaqoob fuzzylogicbasedmodelforvanetperformancemetricsanalysis
AT asifgulraiz fuzzylogicbasedmodelforvanetperformancemetricsanalysis
AT rabbiamuhammadqasmi fuzzylogicbasedmodelforvanetperformancemetricsanalysis