Paper Info
Title
CAMONET: Moth-Flame Optimization (MFO) Based Clustering Algorithm for VANETs.
Abstract
A network aggregated of wirelessly connected vehicles is recognized as vehicular ad hoc networks (VANETs). Clustering in vehicular network is a technique among many others, which targets to improve communication proficiency in VANETs. In each cluster, there is one cluster head (CH) used to manage the whole cluster. All the communications are accomplished by the CHs, i.e., inter-cluster and the intra-cluster communications. The efficiency of a network is measured by number of CHs, load on each CH and lifetime of clusters. In this paper, a novel Clustering Algorithm centered on Moth-Flame Optimization for VANETs (CAMONET) is anticipated. This is a nature-inspired algorithm. CAMONET generates optimized clusters for robust transmission. CAMONET is evaluated experimentally with renowned techniques, such as multiobjective particle swarm optimization, clustering algorithm based on ant colony optimization for VANETs, and comprehensive learning particle swarm optimization. To assess the comparative efficiency of these algorithms, numerous experiments are performed. The results are accomplished by modifying the values of grid size of the network, the number of nodes in the network, and the transmission range of nodes. The speed, direction, and transmission range of the nodes are the notable factors considered for optimized clustering. The results indicate that CAMONET delivers near optimal results that develops it into an efficient method to perform vehicular clustering in order to improve the overall performance of the network.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2868118
IEEE ACCESS
Keywords
Field
DocType
Intelligent transportation system (ITS),vehicular ad hoc networks (VANETs),ant colony optimization (ACO),moth-flame optimization (MFO),clustering,meta heuristic algorithms,population based algorithm
Ant colony optimization algorithms,Mobile computing,Particle swarm optimization,Cluster (physics),Grid size,Computer science,Moth flame optimization,Wireless ad hoc network,Cluster analysis,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
2
PageRank 
References 
Authors
0.36
0
6
Name
Order
Citations
PageRank
Yasir Ali Shah120.36
Hafiz Adnan Habib293.04
Farhan Aadil35010.48
Muhammad Fahad Khan4288.14
Muazzam Maqsood5419.65
T. Nawaz6132.44