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
Copyright © 2009–2024 IEEE
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