Modified Topology-Based proactive routing protocols with indoor testbed design and development for Quality-Of-Service support in Vehicular AD HOC Network

Vehicular Ad-hoc Networks (VANETs) can produce scalable and cost-effective solutions for both safety-related and non-safety applications that rely on wireless communication. In VANETs, vehicles may disseminate helpful information about vital incidents, such as traffic conditions, route congestion, a...

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Main Author: Yogarayan, Sumendra
Format: Thesis
Published: 2022
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id my-mmu-ep.11545
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spelling my-mmu-ep.115452023-07-18T05:45:20Z Modified Topology-Based proactive routing protocols with indoor testbed design and development for Quality-Of-Service support in Vehicular AD HOC Network 2022-06 Yogarayan, Sumendra TE210-228.3 Construction details Including foundations, maintenance, equipment Vehicular Ad-hoc Networks (VANETs) can produce scalable and cost-effective solutions for both safety-related and non-safety applications that rely on wireless communication. In VANETs, vehicles may disseminate helpful information about vital incidents, such as traffic conditions, route congestion, and incident warnings, providing extra efficient and circulated traffic management. For example, vehicles can receive the aforementioned information from their immediate surroundings in order to determine traffic delays or hazards. During this crucial event, the topology of such network shifts fast since the nodes are in continuous exchange at varying speeds. This results in several challenges that must be discussed accordingly in order to establish VANET effectively. Fast topological transitions and constant disconnection makes it difficult to produce an efficient routing performance for broadcasting data across vehicles, notably in vehicle to vehicle (V2V) communication. Many related investigations have been performed to identify routing protocols that have been proposed as a data dissemination approach. Routing protocols are classified based on how they transmit the packet from the source to the destination. In VANETs, routinely evaluating routing protocols can be challenging due to the lack of readily available installation packages and resources. The lack of universal support for many routing protocols has been indicated as a problem in previous literature. The evaluation of VANET protocols and applications relies largely on simulations. There are challenges in measuring performance in VANET environments, which is the lack of a unified platform for collecting and analysing performance data. The present study focuses on proactive routing protocols and the performance of VANET through the deployment of indoor microcontroller testbeds in motionless and motion states. Modifications have been proposed to the default Optimised Link State Routing (OLSR), Better Approach To Mobile Ad-Hoc Networking (BATMAN) and BABEL routing protocols. In the development of the testbed, Raspberry Pi 4, a two-wheel-drive (2WD) car chassis, and a number of components were used. Several scenarios were represented to determine the optimum performance incorporating both default and modified routing protocols. The Quality of Service (QoS) index measurement is used to measure the performance of the default and modified routing protocols based on throughput, delay, jitter, packet delivery ratio, and packet loss. According to the results of the study, BABEL routing has significantly better results than OLSR and BATMAN. The contribution of this study could lead to a more practical implementation of V2V communication. 2022-06 Thesis http://shdl.mmu.edu.my/11545/ http://erep.mmu.edu.my/ phd doctoral Multimedia University Faculty of Information Science and Technology (FIST) EREP ID: 10858
institution Multimedia University
collection MMU Institutional Repository
topic TE210-228.3 Construction details Including foundations
maintenance
equipment
spellingShingle TE210-228.3 Construction details Including foundations
maintenance
equipment
Yogarayan, Sumendra
Modified Topology-Based proactive routing protocols with indoor testbed design and development for Quality-Of-Service support in Vehicular AD HOC Network
description Vehicular Ad-hoc Networks (VANETs) can produce scalable and cost-effective solutions for both safety-related and non-safety applications that rely on wireless communication. In VANETs, vehicles may disseminate helpful information about vital incidents, such as traffic conditions, route congestion, and incident warnings, providing extra efficient and circulated traffic management. For example, vehicles can receive the aforementioned information from their immediate surroundings in order to determine traffic delays or hazards. During this crucial event, the topology of such network shifts fast since the nodes are in continuous exchange at varying speeds. This results in several challenges that must be discussed accordingly in order to establish VANET effectively. Fast topological transitions and constant disconnection makes it difficult to produce an efficient routing performance for broadcasting data across vehicles, notably in vehicle to vehicle (V2V) communication. Many related investigations have been performed to identify routing protocols that have been proposed as a data dissemination approach. Routing protocols are classified based on how they transmit the packet from the source to the destination. In VANETs, routinely evaluating routing protocols can be challenging due to the lack of readily available installation packages and resources. The lack of universal support for many routing protocols has been indicated as a problem in previous literature. The evaluation of VANET protocols and applications relies largely on simulations. There are challenges in measuring performance in VANET environments, which is the lack of a unified platform for collecting and analysing performance data. The present study focuses on proactive routing protocols and the performance of VANET through the deployment of indoor microcontroller testbeds in motionless and motion states. Modifications have been proposed to the default Optimised Link State Routing (OLSR), Better Approach To Mobile Ad-Hoc Networking (BATMAN) and BABEL routing protocols. In the development of the testbed, Raspberry Pi 4, a two-wheel-drive (2WD) car chassis, and a number of components were used. Several scenarios were represented to determine the optimum performance incorporating both default and modified routing protocols. The Quality of Service (QoS) index measurement is used to measure the performance of the default and modified routing protocols based on throughput, delay, jitter, packet delivery ratio, and packet loss. According to the results of the study, BABEL routing has significantly better results than OLSR and BATMAN. The contribution of this study could lead to a more practical implementation of V2V communication.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Yogarayan, Sumendra
author_facet Yogarayan, Sumendra
author_sort Yogarayan, Sumendra
title Modified Topology-Based proactive routing protocols with indoor testbed design and development for Quality-Of-Service support in Vehicular AD HOC Network
title_short Modified Topology-Based proactive routing protocols with indoor testbed design and development for Quality-Of-Service support in Vehicular AD HOC Network
title_full Modified Topology-Based proactive routing protocols with indoor testbed design and development for Quality-Of-Service support in Vehicular AD HOC Network
title_fullStr Modified Topology-Based proactive routing protocols with indoor testbed design and development for Quality-Of-Service support in Vehicular AD HOC Network
title_full_unstemmed Modified Topology-Based proactive routing protocols with indoor testbed design and development for Quality-Of-Service support in Vehicular AD HOC Network
title_sort modified topology-based proactive routing protocols with indoor testbed design and development for quality-of-service support in vehicular ad hoc network
granting_institution Multimedia University
granting_department Faculty of Information Science and Technology (FIST)
publishDate 2022
_version_ 1776101417520463872