A Context‑Aware and Energy‑Efficient Edge Computing Framework for Low‑Latency Communication in Autonomous Vehicles with Real‑World Validation and Safety‑Centric Task Prioritization

S. Kannadhasan, Digant Hemant Raval, K. Jayalakshmi, P. Mathiyalagan, M. Soma Sabitha, Kaviyan S.

2025

Abstract

AVs need ultra-low latency communications to allow for fast decision making for passenger safety in rapidly changing when the traffic. Legacy cloud processing incurs unsatisfactory latency while most of the current edge computing approaches suffer from limited flexibility, energy efficiency and practical deployment experience. This paper presents a context-aware energy-efficient edge computing architecture to realize low-latency communication for autonomous vehicles. Dynamic task scheduling, federated edge collaboration and lightweight AI models are jointly used in the framework to make sure that it can realize real-time perception for safety-critical scenes. The effectiveness of the protocol is verified by actual traffic simulation and multi-scenario tests, which show reduced response time and improved reliability over different vehicle scenarios. By combining edge intelligence with safety-aware scheduling and situational awareness, this work addresses significant deficiencies of the existing generation of vehicle-to-vehicle communication systems and offers an efficient, security-aware, and low-latency solution for the future intelligent transportation.

Paper Citation

in Harvard Style

Kannadhasan S., Raval D., Jayalakshmi K., Mathiyalagan P., Sabitha M. and S. K. (2025). A Context‑Aware and Energy‑Efficient Edge Computing Framework for Low‑Latency Communication in Autonomous Vehicles with Real‑World Validation and Safety‑Centric Task Prioritization. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 27-33. DOI: 10.5220/0013857000004919

in Bibtex Style

@conference{icrdicct`2525,
author={S. Kannadhasan and Digant Raval and K. Jayalakshmi and P. Mathiyalagan and M. Sabitha and Kaviyan S.},
title={A Context‑Aware and Energy‑Efficient Edge Computing Framework for Low‑Latency Communication in Autonomous Vehicles with Real‑World Validation and Safety‑Centric Task Prioritization},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={27-33},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013857000004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - A Context‑Aware and Energy‑Efficient Edge Computing Framework for Low‑Latency Communication in Autonomous Vehicles with Real‑World Validation and Safety‑Centric Task Prioritization
SN - 978-989-758-777-1
AU - Kannadhasan S.
AU - Raval D.
AU - Jayalakshmi K.
AU - Mathiyalagan P.
AU - Sabitha M.
AU - S. K.
PY - 2025
SP - 27
EP - 33
DO - 10.5220/0013857000004919
PB - SciTePress