This work proposes a novel algorithm for energyefficient and reliable spectrum sensing in a cognitive network. The algorithm relies on cooperation between secondary devices, that organize themselves in clusters defined according to both sensing reliability and energy efficiency. The proposed algorithm is compared by means of computer simulations with a simpler, non cluster-based cooperative sensing scheme. Simulation results highlight that the adoption of an energy-efficient, sensing-aware clustering algorithm in the sensing procedure can significantly improve both sensing reliability and network lifetime in secondary cognitive networks. © 2009 IEEE.
Clustered Hybrid Energy-aware cooperative Spectrum Sensing (CHESS) / DE NARDIS, LUCA; DOMENICALI, Daniele; DI BENEDETTO, Maria Gabriella. - STAMPA. - 1:(2009), pp. 1-6. (Intervento presentato al convegno IEEE Cognitive Radio Oriented Wireless Networks and Communications 2009 (CROWNCOM 2009) tenutosi a Hanover; Germany nel 22-24 Giugno 2009) [10.1109/CROWNCOM.2009.5189147].
Clustered Hybrid Energy-aware cooperative Spectrum Sensing (CHESS)
DE NARDIS, LUCA;DOMENICALI, Daniele;DI BENEDETTO, Maria Gabriella
2009
Abstract
This work proposes a novel algorithm for energyefficient and reliable spectrum sensing in a cognitive network. The algorithm relies on cooperation between secondary devices, that organize themselves in clusters defined according to both sensing reliability and energy efficiency. The proposed algorithm is compared by means of computer simulations with a simpler, non cluster-based cooperative sensing scheme. Simulation results highlight that the adoption of an energy-efficient, sensing-aware clustering algorithm in the sensing procedure can significantly improve both sensing reliability and network lifetime in secondary cognitive networks. © 2009 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
