Bio-inspired based Optimization on Internet of Vehicles in Vehicular Adhoc Communication

DOI

10.2991/978-94-6463-589-8_44How to use a DOI?

Keywords

Traffic congestion; Internet of Vehicles (IoV); Particle Swarm Optimization (PSO)

Abstract

In the era of Industrial Revolution 4.0, the revolution of Internet of Things (IoT) is massively evolving in bringing new themes into life. This area involves intelligent transportation, smart housing, smart mobility, and smart health. The development of smart cities is being powered by this transition, which is centered on smart transportation. The earlier mobile-based vehicular adhoc networks (VANETs) is being replaced by the Internet of Vehicles (IoV) in order to achieve this goal. Vehicular networking and content distribution is considered as important components in disseminating messages to their intended recipients. However, the current IoV network faced an issue in the communication channel in order to receive messages with no or less delay. Thus, to solve the issue addressed, the optimization of Internet of Vehicles (IoV) using Particle Swarm Optimization (PSO) is introduced as an approach to enhance vehicular adhoc communication systems. By leveraging the principles of PSO, which is a bio-inspired computational method, this approach aims to improve the efficiency, reliability, and overall performance of the communication networks within IoV systems. The goal of PSO algorithm is to optimizes the parameter of the IoV network to achieve better performance in increasing the throughput and reducing delay, thus improves connectivity among vehicles, leading to a more robust and effective vehicular network. The simulation results obtained verify that the proposed work improves the Quality of Service (QoS) of the IoV network in terms of throughput and delay.

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  - Shahirah Mohamed Hatim
AU  - Haryani Haron
AU  - Nor Shahniza Kamal Bashah
PY  - 2024
DA  - 2024/12/01
TI  - Bio-inspired based Optimization on Internet of Vehicles in Vehicular Adhoc Communication
BT  - Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)
PB  - Atlantis Press
SP  - 477
EP  - 487
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-589-8_44
DO  - 10.2991/978-94-6463-589-8_44
ID  - Hatim2024
ER  -