DocumentCode
259844
Title
Multi-channel collaborative spectrum sensing in cognitive radio networks
Author
Althunibat, Saud ; Tung Manh Vuong ; Granelli, Fabrizio
Author_Institution
DISI, Univ. of Trento, Trento, Italy
fYear
2014
fDate
1-3 Dec. 2014
Firstpage
234
Lastpage
238
Abstract
Collaborative spectrum sensing (CSS) consumes a significant amount of energy during sensing and reporting the sensing results. Such an issue becomes a challenge in the multi-channel systems. In this paper we propose two different energy-efficient CSS schemes, namely, Reduced-Energy Sensing Scheme (RESS) and Reduced-Energy Reporting Scheme (RERS). In RESS, the channels that have been identified as occupied will not be sensed for a number of next sensing rounds, while in RERS, only the sensing results of a subset of the sensed channels will be reported channels. In both schemes, the energy and time resources expended in CSS will be saved. Moreover, the saved time will be exploited in data transmission, improving the throughput. Simulation results show a significant improvement in the energy efficiency of multi-channel CSS.
Keywords
cognitive radio; data communication; radio spectrum management; signal detection; telecommunication power management; RERS; RESS; cognitive radio networks; data transmission; energy-efficient CSS schemes; multichannel collaborative spectrum sensing; multichannel systems; reduced-energy reporting scheme; reduced-energy sensing scheme; Cascading style sheets; Cognitive radio; Data communication; Energy consumption; Sensors; Simulation; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2014 IEEE 19th International Workshop on
Conference_Location
Athens
Type
conf
DOI
10.1109/CAMAD.2014.7033241
Filename
7033241
Link To Document