Modified stable weighted clustering scheme for secured V2V communications
by Siman Emmanuel; Ismail Fauzi Bin Isnin; Mohd. Murtadha Bin Mohamad
International Journal of Vehicle Information and Communication Systems (IJVICS), Vol. 8, No. 4, 2023

Abstract: Designing a Medium Access Control (MAC) protocol for vehicular ad hoc networks is challenging due to high node speeds, topology changes, infrastructure limitations, and varying quality-of-service requirements. To address these, we propose the Enhanced Cluster Multiple Access (ECMA) protocol, supporting multiple access methods and using a modified weighted clustering algorithm for Cluster Head (CH) selection, ensuring even vehicle distribution. A Chain Markov model manages smooth transitions between access mechanisms based on node thresholds, maintaining network stability. Evaluation with four weighting factors, including network throughput, end-to-end delay, and Packet Delivery Ratio, showcases the protocol's robustness. It outperforms Stable-Based (SB) and Threshold-Based (TB) techniques in various traffic scenarios with fewer modifications. Surprisingly, cluster stability improves by 52% to 61% with more vehicles and extended transmission range, and compared to EWCA and VeMAC protocols, our method excels in data PDR and end-to-end delay enhancement.

Online publication date: Thu, 30-Nov-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Vehicle Information and Communication Systems (IJVICS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com