E-CLARITY: Edge-assisted cluster management architecture for energy-aware vehicular communications in NR-V2X networks

E-CLARITY presents an edge-assisted architecture for energy-aware cluster management in NR-V2X networks, combining SDN coordination and RSU edge assistance to improve cluster stability, energy efficiency, reliability, and latency.
Like

Share this post

Choose a social network to share with, or copy the URL to share elsewhere

This is a representation of how your post may appear on social media. The actual post will vary between social networks

New research publication

I am pleased to share my latest research article, published in Computer Communications (Elsevier):

E-CLARITY: Edge-assisted cluster management architecture for energy-aware vehicular communications in NR-V2X networks

This work presents a standards-compliant framework that combines SDN coordination with RSU edge assistance to optimize cluster management in dynamic NR-V2X Mode 2 vehicular networks.

The proposed approach addresses key challenges in vehicular communications, including cluster stability, energy consumption, communication reliability, and end-to-end latency, particularly in dense and realistic urban scenarios.

The evaluation demonstrates improved cluster stability, reduced vehicular power consumption, high packet delivery reliability, and bounded end-to-end latency.

📄 Published in Computer Communications (Elsevier), July 2026.

🔗 Free access for a limited time:
https://authors.elsevier.com/a/1nVr8VwcQzTC9

I hope this work will be of interest to researchers working on NR-V2X, IoV, edge computing, vehicular networks, and intelligent transportation systems. Comments and feedback are welcome.

Please sign in or register for FREE

If you are a registered user on Research Communities by Springer Nature, please sign in

Follow the Topic

Control, Robotics, Automation
Technology and Engineering > Electrical and Electronic Engineering > Control, Robotics, Automation
Computational Intelligence
Technology and Engineering > Mathematical and Computational Engineering Applications > Computational Intelligence