Work

A Novel Swarm Intelligence-Enabled Clustering Method for High-Mobility Internet of Vehicles

Year: 2025

Type: article

Abstract: The Internet of Vehicles (IoV) is driving the development of Intelligent Transport Systems (ITS) through efficient information interaction. Due to the high mobility of vehicle nodes, the IoV faces significant challenges such as scalability and rapid changes of network topology. IoV clustering is an effective way to reduce wireless channel contention in large-scale scenarios. However, existing schemes are poorly suited to high-speed mobile environments. This motivates us to combine the mobility of vehicles with cluster distances to achieve the minimum and stable clusters. A novel clustering method based on swarm intelligence optimization is proposed, which dynamically updates solutions to determine the best clustering solutions. The simulation results validate the effectiveness of the proposed method in reducing communication costs and enhancing cluster stability.

Source: IEEE Wireless Communications Letters

DOI: 10.1109/lwc.2025.3613786

Authors: Jin Li, Chenglin Qu, Haisheng Li, Zilong Liu, Md. Noor-A-Rahim

Institutions: Beijing Technology and Business University, University of Essex, University College Cork

Language: English

Topic: Vehicular Ad Hoc Networks (VANETs)

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $2,645