Particle Swarm Optimization based Efficient Cluster Formation in Vehicular Networks

DOI

10.2991/978-94-6463-529-4_25How to use a DOI?

Keywords

vehicular ad-hoc network; PSO; clustering; cluster head

Abstract

Vehicular ad-hoc networks (VANETs) are extensively utilized for intelligent mobility and roadside advertising. In VANETs, vehicles equipped with wireless sensors function as mobile nodes capable of communication in both infrastructure and ad-hoc modes. Clustering vehicles within VANETs enhances resource utilization, system capacity, and scalability. Our study presents a novel approach to VANET clustering using particle swarm optimization, offering improvements over several existing algorithms. This technique focuses on the creation of clusters that avoid collisions with nearby vehicle nodes. The algorithm determines the optimal number of clusters and selects the cluster head vehicle based on its minimal distance from the respective cluster members.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Saket Kumar
AU  - Pratyay Kuila
PY  - 2024
DA  - 2024/10/04
TI  - Particle Swarm Optimization based Efficient Cluster Formation in Vehicular Networks
BT  - Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)
PB  - Atlantis Press
SP  - 279
EP  - 288
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-529-4_25
DO  - 10.2991/978-94-6463-529-4_25
ID  - Kumar2024
ER  -