Paper Info
Title
Cognitive Adaptive Medium Access Control in Cognitive Radio Sensor Networks
Abstract
Spectrum sensing is an integral part of medium access control (MAC) in cognitive radio (CR) networks as its reliability determines the success of transmission. However, it is an energy-consuming operation that needs to be minimized for CR sensor networks (CRSNs) due to resource scarcity. In this paper, a cognitive adaptive MAC (CAMAC) protocol, which supports opportunistic transmission while addressing the issue of power limitation in CRSNs, is proposed. Energy conservation in CAMAC is achieved in three fronts: on-demand spectrum sensing, limiting the number of spectrum sensing nodes, and applying a duty cycle. Spectrum sensing is initiated on-demand when the nodes have data to transmit, and it also exploits a subset of spectrum sensing nodes to gather spectrum availability information for all the nodes. Furthermore, it defines an adaptive duty cycle for the CRSN nodes to periodically sleep and remains awake when data are available for transmission. Hence, CAMAC stands as an adaptive solution that employs the small number of spectrum sensing nodes with an adaptive sensing period yielding minimum energy consumption. Simulation results reveal the efficiency of CAMAC in terms of high throughput and less energy consumption, which is adaptive to primary users' traffic and duty cycle.
Year
DOI
Venue
2015
10.1109/TVT.2014.2324617
Vehicular Technology, IEEE Transactions  
Keywords
Field
DocType
access protocols,cognitive radio,radio spectrum management,telecommunication power management,adaptive duty cycle,adaptive sensing period,cognitive adaptive medium access control,cognitive radio sensor networks,on-demand spectrum sensing,opportunistic transmission,medium access control (mac),spectrum correlation,wireless sensor networks (wsns),sensors,signal to noise ratio,camac,correlation,wireless sensor networks
Energy conservation,Duty cycle,Computer science,Signal-to-noise ratio,Computer network,Electronic engineering,Access control,Throughput,Wireless sensor network,Energy consumption,Cognitive radio
Journal
Volume
Issue
ISSN
64
2
0018-9545
Citations 
PageRank 
References 
26
0.86
16
Authors
2
Name
Order
Citations
PageRank
Ghalib A. Shah129120.85
Özgür B. Akan254045.91