Experimental Design of Effective QoS Performance Using Advanced Shortest Path Algorithm for Vehicular Ad-Hoc Network

Vehicle Ad-hoc Network (VANET) is the emerging technology and maximum of the intelligent transportations are connected with the VANETs applications. The major goal of the VANETs network is providing road safety and congestion free communication among the vehicles. Due to high-speed mobility among th...

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Published inCommunications and Signal Processing, International Conference on pp. 1107 - 1111
Main Authors Habelalmateen, Mohammed Ihsan, Hashim, Dulfikar Jawad, S, Arunkumar, Alsalamy, Fatima H., Aljawaheri, Karar, Zoori, Amanee Khalid
Format Conference Proceeding
LanguageEnglish
Published IEEE 05.06.2025
Subjects
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ISSN2836-1873
DOI10.1109/ICCSP64183.2025.11088599

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Abstract Vehicle Ad-hoc Network (VANET) is the emerging technology and maximum of the intelligent transportations are connected with the VANETs applications. The major goal of the VANETs network is providing road safety and congestion free communication among the vehicles. Due to high-speed mobility among the vehicles, certain issues are occurred during data transmission like network delay, overhead and high-power consumption. It becomes extremely important to create an optimal path to transfer the information or data packet from one place to another. For that reason, in this paper Effective QoS Performance using Advanced Shortest Path Algorithm (EQAS) is proposed which is the combination of Ant based optimization and game theory-based optimization. In this model the optimal is performed in two levels which are initial path selection and best solution finding among the vehicles. At the primary level using the ants the initial possible paths are identified. Secondly to find the best among those selected path the idea of game theory is utilized. Using this process the network quality of service (QoS) performance is increased. The proposed EQAS method is experimented in NS2 and SUMO. From the simulation demonstration and results discussion, it gets proven that the proposed EQAS attained 4% higher packet delivery ratio, 50 ms lower delay, 100 packets lower routing overhead and 20% higher energy efficiency.
AbstractList Vehicle Ad-hoc Network (VANET) is the emerging technology and maximum of the intelligent transportations are connected with the VANETs applications. The major goal of the VANETs network is providing road safety and congestion free communication among the vehicles. Due to high-speed mobility among the vehicles, certain issues are occurred during data transmission like network delay, overhead and high-power consumption. It becomes extremely important to create an optimal path to transfer the information or data packet from one place to another. For that reason, in this paper Effective QoS Performance using Advanced Shortest Path Algorithm (EQAS) is proposed which is the combination of Ant based optimization and game theory-based optimization. In this model the optimal is performed in two levels which are initial path selection and best solution finding among the vehicles. At the primary level using the ants the initial possible paths are identified. Secondly to find the best among those selected path the idea of game theory is utilized. Using this process the network quality of service (QoS) performance is increased. The proposed EQAS method is experimented in NS2 and SUMO. From the simulation demonstration and results discussion, it gets proven that the proposed EQAS attained 4% higher packet delivery ratio, 50 ms lower delay, 100 packets lower routing overhead and 20% higher energy efficiency.
Author Aljawaheri, Karar
Hashim, Dulfikar Jawad
Alsalamy, Fatima H.
Zoori, Amanee Khalid
Habelalmateen, Mohammed Ihsan
S, Arunkumar
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  organization: National University of Science and Technology,Dhi Qar,Iraq
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Snippet Vehicle Ad-hoc Network (VANET) is the emerging technology and maximum of the intelligent transportations are connected with the VANETs applications. The major...
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StartPage 1107
SubjectTerms advanced shortest path algorithm
ant based optimization
Data communication
Delays
effective QoS
Energy efficiency
Game theory
game theory based optimization
Games
Optimization
Quality of service
Routing
Signal processing algorithms
vehicle ad-hoc network (VANET)
Vehicular ad hoc networks
Title Experimental Design of Effective QoS Performance Using Advanced Shortest Path Algorithm for Vehicular Ad-Hoc Network
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