Dynamic Topology Evolution and Multi-Objective Routing Optimization for Efficient VANET Communication

This paper presents a dynamic topology evolution model and a multi-objective routing optimization algorithm tailored for Vehicular Ad Hoc Networks (VANETs) to address the challenges of efficient routing in highly dynamic topologies. The proposed algorithm utilizes a Dynamic Topology Evolution (DTE)...

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Main Author: Hao Wang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10879484/
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author Hao Wang
author_facet Hao Wang
author_sort Hao Wang
collection DOAJ
description This paper presents a dynamic topology evolution model and a multi-objective routing optimization algorithm tailored for Vehicular Ad Hoc Networks (VANETs) to address the challenges of efficient routing in highly dynamic topologies. The proposed algorithm utilizes a Dynamic Topology Evolution (DTE) model to evaluate routing stability by capturing continuous changes in network topology. By integrating a cooperative relay mechanism and a multi-objective relay node selection method, the algorithm significantly enhances data transmission success rates and reduces end-to-end latency. Furthermore, the implementation of Dijkstra’s algorithm enables efficient path selection with low computational complexity. Simulations using real urban traffic data demonstrate that the proposed algorithm outperforms existing protocols in terms of packet delivery rates and transmission delays, particularly in complex urban environments.
format Article
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issn 2169-3536
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publishDate 2025-01-01
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spelling doaj-art-f9ffcc643a5f4ebe8eec1d22c73091752025-08-20T03:15:48ZengIEEEIEEE Access2169-35362025-01-0113361243613410.1109/ACCESS.2025.354100310879484Dynamic Topology Evolution and Multi-Objective Routing Optimization for Efficient VANET CommunicationHao Wang0https://orcid.org/0009-0003-1050-849XDepartment of Information Engineering, Xidian University, Xi’an, ChinaThis paper presents a dynamic topology evolution model and a multi-objective routing optimization algorithm tailored for Vehicular Ad Hoc Networks (VANETs) to address the challenges of efficient routing in highly dynamic topologies. The proposed algorithm utilizes a Dynamic Topology Evolution (DTE) model to evaluate routing stability by capturing continuous changes in network topology. By integrating a cooperative relay mechanism and a multi-objective relay node selection method, the algorithm significantly enhances data transmission success rates and reduces end-to-end latency. Furthermore, the implementation of Dijkstra’s algorithm enables efficient path selection with low computational complexity. Simulations using real urban traffic data demonstrate that the proposed algorithm outperforms existing protocols in terms of packet delivery rates and transmission delays, particularly in complex urban environments.https://ieeexplore.ieee.org/document/10879484/VANETsroutingdynamic topologyDijkstra’s algorithmnetwork stabilityurban mobility
spellingShingle Hao Wang
Dynamic Topology Evolution and Multi-Objective Routing Optimization for Efficient VANET Communication
IEEE Access
VANETs
routing
dynamic topology
Dijkstra’s algorithm
network stability
urban mobility
title Dynamic Topology Evolution and Multi-Objective Routing Optimization for Efficient VANET Communication
title_full Dynamic Topology Evolution and Multi-Objective Routing Optimization for Efficient VANET Communication
title_fullStr Dynamic Topology Evolution and Multi-Objective Routing Optimization for Efficient VANET Communication
title_full_unstemmed Dynamic Topology Evolution and Multi-Objective Routing Optimization for Efficient VANET Communication
title_short Dynamic Topology Evolution and Multi-Objective Routing Optimization for Efficient VANET Communication
title_sort dynamic topology evolution and multi objective routing optimization for efficient vanet communication
topic VANETs
routing
dynamic topology
Dijkstra’s algorithm
network stability
urban mobility
url https://ieeexplore.ieee.org/document/10879484/
work_keys_str_mv AT haowang dynamictopologyevolutionandmultiobjectiveroutingoptimizationforefficientvanetcommunication