Title
Heterogeneous cognitive radio sensor networks for smart grid: Markov analysis and applications
Abstract
AbstractCognitive radio sensor networks (CRSN) have the potential to vastly improve spectrum utilization among heterogeneous applications for smart grid. To date, there has been little queueing theoretic modeling conducted of such systems that provide a quantitative estimate of the benefits from CRSN. We propose a novel queuing model which incorporates service rate and functional heterogeneity on the servers and implement preemptive priority among the varying service classes. Initially, we present a continuous-time Markov chain for performance analysis of CRSN for two colocated cognitive systems with various priority classes and bandwidth requirements. Closed form results for spectrum utilization, blocking probability, and optimal traffic intensities are then derived for the scenario of two heterogeneous secondary systems. A channel packing scheme is then proposed to pack smaller bandwidth users into clusters of adjacent channels to alleviate blockage of users requiring larger bandwidth requirements. Based on the numerical results of benefits of our scheme, we propose a feasible application for smart grid.
Year
DOI
Venue
2015
10.1155/2015/528346
Periodicals
Field
DocType
Volume
Smart grid,Cognitive systems,Computer science,Markov chain,Server,Computer network,Communication channel,Queueing theory,Bandwidth (signal processing),Cognitive radio sensor networks,Distributed computing
Journal
2015
Issue
ISSN
Citations 
1
1550-1329
4
PageRank 
References 
Authors
0.41
11
6
Name
Order
Citations
PageRank
Ling Luo1453.38
Jian Zhou2167.23
ping ling341.76
Sumit Roy42245203.71
Zhiyong Chen537132.33
xiaofan li67912.44