Deep Learning-Based Dynamic Stable Cluster Head Selection in VANET
VANET is the spontaneous evolving creation of a wireless network, and clustering in these networks is a challenging task due to rapidly changing topology and frequent disconnection in networks. The cluster head (CH) stability plays a prominent role in robustness and scalability in the network. The s...
Saved in:
Main Authors: | Muhammad Asim Saleem, Zhou Shijie, Muhammad Umer Sarwar, Tanveer Ahmad, Amarah Maqbool, Casper Shikali Shivachi, Maham Tariq |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2021/9936299 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Monitoring Population Phenology of Asian Citrus Psyllid Using Deep Learning
by: Maria Bibi, et al.
Published: (2021-01-01) -
Blockchain-Enabled VANET for Smart Solid Waste Management
by: Muhammad Saad, et al.
Published: (2023-01-01) -
Coalitional Game Theoretical Approach for VANET Clustering to Improve SNR
by: Selo Sulistyo, et al.
Published: (2019-01-01) -
An Efficient Cluster Authentication Scheme Based on VANET Environment in M2M Application
by: You-Boo Jeon, et al.
Published: (2013-11-01) -
Cooperative Downloading by Multivehicles in Urban VANET
by: Di Wu, et al.
Published: (2014-02-01)