Paper Info
Title
A Novel White Space Optimization Scheme Using Memory Enabled Genetic Algorithm in Cognitive Vehicular Communication
Abstract
A dedicated single short range communication link is not efficient for an inter-vehicular communication system and results into degraded performance. To address the problem, a cognitive radio site is proposed as an intelligent vehicular device to implement an inter-vehicular communication network using multiple radio access technologies. Further, the whitespace optimization at vehicular speed is achieved by the memory enabled genetic algorithm. The algorithm makes use of four cognitive radio decision variables as genes including frequency, power, data rate and modulation scheme in the chromosome structure. The performance of the proposed approach is validated against the classical genetic algorithm and particle swarm optimization algorithm. In this research, a statistical evaluation is also presented to confirm the potential of cognitive radio paradigm employing multiple radio access technologies as an option to fulfill the increasing bandwidth demand of an inter-vehicular communication system. Experimental results demonstrate the effectiveness of the approach by ensuring efficient bandwidth utilization and fulfilling varying nature of users’ quality of service requirements in real time.
Year
DOI
Venue
2017
10.1007/s11277-015-3117-4
Wireless Personal Communications
Keywords
Field
DocType
Cognitive radio,Multi-RAT,Memory enabled genetic algorithm,Vehicular cyber physical system (VCPS),White space optimization
Particle swarm optimization,White spaces,Computer science,Communications system,Computer network,Real-time computing,Bandwidth (signal processing),Whitespace,Genetic algorithm,Cognitive network,Distributed computing,Cognitive radio
Journal
Volume
Issue
ISSN
93
2
0929-6212
Citations 
PageRank 
References 
4
0.44
22
Authors
5
Name
Order
Citations
PageRank
Faisal Riaz1236.03
imran shafi262.52
Sohail Jabbar331434.55
Shehzad Khalid440636.42
Seungmin Rho544138.53