Clustered hybrid energy-aware cooperative spectrum sensing (CHESS)

Luca De Nardis; Daniele Domenicali; Maria-Gabriella Di Benedetto

4th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Clustered hybrid energy-aware cooperative spectrum sensing (CHESS)

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/CROWNCOM.2009.5189147,
    author={Luca De Nardis and Daniele Domenicali and Maria-Gabriella Di Benedetto},
    title={Clustered hybrid energy-aware cooperative spectrum sensing (CHESS)},
    proceedings={4th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
    publisher={IEEE},
    proceedings_a={CROWNCOM},
    year={2009},
    month={8},
    keywords={},
    doi={10.1109/CROWNCOM.2009.5189147}
}

Luca De Nardis
Daniele Domenicali
Maria-Gabriella Di Benedetto
Year: 2009
Clustered hybrid energy-aware cooperative spectrum sensing (CHESS)
CROWNCOM
IEEE
DOI: 10.1109/CROWNCOM.2009.5189147

Luca De Nardis¹^,*, Daniele Domenicali¹^,*, Maria-Gabriella Di Benedetto¹^,*

1: Faculty of Engineering, University of Rome La Sapienza, Rome, Italy

*Contact email: lucadn@newyork.ing.uniroma1.it, dome@newyork.ing.uniroma1.it, dibenedetto@newyork.ing.uniroma1.it

Abstract

This work proposes a novel algorithm for energy-efficient 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.

Published: 2009-08-04
Publisher: IEEE

: http://dx.doi.org/10.1109/CROWNCOM.2009.5189147