IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode
Peiying Zhang, Chao Wang, Gagangeet Singh Aujla, Neeraj Kumar, and, Mohsen Guizani

TL;DR
This paper introduces a bandwidth-aware virtual network embedding algorithm for IoV wireless networks, optimized with particle swarm techniques, demonstrating improved resource allocation and acceptance rates in simulations.
Contribution
It proposes a novel bandwidth-aware VNE algorithm for IoV that incorporates PSO for enhanced performance, addressing bandwidth allocation challenges in wireless environments.
Findings
The proposed algorithm outperforms other methods in link bandwidth utilization.
It achieves higher virtual network request acceptance rates.
The algorithm reduces mapping costs in simulations.
Abstract
The wireless network communication mode represented by the Internet of vehicles (IoV) has been widely used. However, due to the limitations of traditional network architecture, resource scheduling in wireless network environment is still facing great challenges. This paper focuses on the allocation of bandwidth resources in the virtual network environment. This paper proposes a bandwidth aware multi domain virtual network embedding algorithm (BA-VNE). The algorithm is mainly aimed at the problem that users need a lot of bandwidth in wireless communication mode, and solves the problem of bandwidth resource allocation from the perspective of virtual network embedding (VNE). In order to improve the performance of the algorithm, we introduce particle swarm optimization (PSO) algorithm to optimize the performance of the algorithm. In order to verify the effectiveness of the algorithm, we…
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Taxonomy
TopicsSoftware-Defined Networks and 5G · Caching and Content Delivery · Network Traffic and Congestion Control
MethodsAttentive Walk-Aggregating Graph Neural Network
