Next Article in Journal
Tooth Root Bending Strength of Gears: Dimensional Effect for Small Gears Having a Module below 5 mm
Previous Article in Journal
An Automatic Identification Method for the Blink Artifacts in the Magnetoencephalography with Machine Learning
Previous Article in Special Issue
Choice between Surgery and Conservative Treatment for Patients with Lumbar Spinal Stenosis: Predicting Results through Data Mining Technology
 
 
Article

A Connectivity-Based Clustering Scheme for Intelligent Vehicles

1
Robotics and Internet of Things Lab, Prince Sultan University, Riyadh 12435, Saudi Arabia
2
Institute of Mobile Communications, Southwest Jiaotong University, Chengdu 611756, China
3
Department of Software, Sejong University, Seoul 143-747, Korea
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2021, 11(5), 2413; https://doi.org/10.3390/app11052413
Received: 26 January 2021 / Revised: 27 February 2021 / Accepted: 1 March 2021 / Published: 9 March 2021
The reliability, scalability, and stability of routing schemes are open challenges in highly evolving vehicular ad hoc networks (VANETs). Cluster-based routing is an efficient solution to cope with the dynamic and inconsistent structure of VANETs. In this paper, we propose a cluster-based routing scheme (hereinafter referred to as connectivity-based clustering), where link connectivity is used as a metric for cluster formation and cluster head (CH) selection. Link connectivity is a function of vehicle density and transmission range in the proposed connectivity-based clustering scheme. Moreover, we used a heuristic approach of spectral clustering for the optimal number of cluster formation. Lastly, an appropriate vehicle is selected as a CH based on the maximum Eigen-centrality score. The simulation results show that the suggested connectivity-based clustering scheme performs well in the optimal number of cluster selections, strongly connected (STC) route selection, and route request messages (RRMs) in the discovery of a particular path to the destination. Thus, we conclude that link connectivity and the heuristic approach of spectral clustering are valuable additions to existing routing schemes for high evolving networks. View Full-Text
Keywords: clustering; connectivity; VANETs; scalability; stability clustering; connectivity; VANETs; scalability; stability
Show Figures

Figure 1

MDPI and ACS Style

Khan, Z.; Koubaa, A.; Fang, S.; Lee, M.Y.; Muhammad, K. A Connectivity-Based Clustering Scheme for Intelligent Vehicles. Appl. Sci. 2021, 11, 2413. https://doi.org/10.3390/app11052413

AMA Style

Khan Z, Koubaa A, Fang S, Lee MY, Muhammad K. A Connectivity-Based Clustering Scheme for Intelligent Vehicles. Applied Sciences. 2021; 11(5):2413. https://doi.org/10.3390/app11052413

Chicago/Turabian Style

Khan, Zahid, Anis Koubaa, Sangsha Fang, Mi Young Lee, and Khan Muhammad. 2021. "A Connectivity-Based Clustering Scheme for Intelligent Vehicles" Applied Sciences 11, no. 5: 2413. https://doi.org/10.3390/app11052413

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop