A Greedy Dynamic Task Offloading and Service Management in V2V Networks

Hanyang Xing

2025

Abstract

This paper introduces an advanced framework for optimizing task offloading and service caching in Vehicle-to-Vehicle (V2V) communication networks. The proposed approach leverages a greedy algorithm to address key challenges such as offloading latency, energy consumption, and system overhead. By incorporating practical factors such as task size, server storage capacity, and task popularity, the framework efficiently allocates tasks, thereby reducing computational delays and enhancing network performance. The effectiveness of the algorithm is validated through comprehensive simulations that demonstrate significant improvements in both time efficiency and resource utilization compared to existing methodologies. The results underscore the potential for future advancements in V2V networks, particularly in enhancing network stability under high-speed conditions and developing robust communication systems that maximize the use of roadside computational resources.

Paper Citation

in Harvard Style

Xing H. (2025). A Greedy Dynamic Task Offloading and Service Management in V2V Networks. In Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS; ISBN 978-989-758-745-0, SciTePress, pages 653-659. DOI: 10.5220/0013474100003941

in Bibtex Style

@conference{vehits25,
author={Hanyang Xing},
title={A Greedy Dynamic Task Offloading and Service Management in V2V Networks},
booktitle={Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS},
year={2025},
pages={653-659},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013474100003941},
isbn={978-989-758-745-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS
TI - A Greedy Dynamic Task Offloading and Service Management in V2V Networks
SN - 978-989-758-745-0
AU - Xing H.
PY - 2025
SP - 653
EP - 659
DO - 10.5220/0013474100003941
PB - SciTePress