Title :
Energy-efficient spectrum sensing for cognitive sensor networks
Author :
Maleki, Sina ; Pandharipande, Ashish ; Leus, Geert
Author_Institution :
Fac. of Electr. Eng., Math. & Comput. Sci., Delft Univ. of Technol., Delft, Netherlands
Abstract :
We consider a combined sleeping and censoring scheme for energy-efficient spectrum sensing in cognitive sensor networks. We analyze the detection performance of this scheme by theoretically deriving the global probabilities of detection and false-alarm. Our goal is to minimize the energy consumption incurred in distributed sensing, given constraints on the global probabilities of detection and false-alarm, by optimally designing the sleeping rate and the censoring thresholds. Using specific transceiver models for sensors based on IEEE 802.15.4/ZigBee, we show the energy savings achieved under an optimum choice of the design parameters.
Keywords :
cognitive radio; probability; radio spectrum management; telecommunication standards; wireless sensor networks; IEEE 802.15.4; ZigBee; cognitive sensor networks; combined sleeping-censoring scheme; energy-efficient spectrum sensing; false-alarm probability; sleeping rate; Cognitive radio; Costs; Energy consumption; Energy efficiency; Europe; Sensor fusion; Sensor systems; Transceivers; Wireless sensor networks; ZigBee;
Conference_Titel :
Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE
Conference_Location :
Porto
Print_ISBN :
978-1-4244-4648-3
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2009.5415258