Efficient Clustering Schemes Towards Information Collection

Krzysztof Cichoń; Adrian Kliks

Cognitive Radio-Oriented Wireless Networks. 15th EAI International Conference, CrownCom 2020, Rome, Italy, November 25-26, 2020, Proceedings

Research Article

Efficient Clustering Schemes Towards Information Collection

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@INPROCEEDINGS{10.1007/978-3-030-73423-7_4,
    author={Krzysztof Cichoń and Adrian Kliks},
    title={Efficient Clustering Schemes Towards Information Collection},
    proceedings={Cognitive Radio-Oriented Wireless Networks. 15th EAI International Conference, CrownCom 2020, Rome, Italy, November 25-26, 2020, Proceedings},
    proceedings_a={CROWNCOM},
    year={2021},
    month={3},
    keywords={Signal detection Clustering Classification},
    doi={10.1007/978-3-030-73423-7_4}
}

Krzysztof Cichoń
Adrian Kliks
Year: 2021
Efficient Clustering Schemes Towards Information Collection
CROWNCOM
Springer
DOI: 10.1007/978-3-030-73423-7_4

Krzysztof Cichoń¹^,*, Adrian Kliks¹

1: Institute of Radiocommunications

*Contact email: krzysztof.cichon@put.poznan.pl

Abstract

One of the challenges in cooperative spectrum sensing is to optimize the energy consumption of the network. Delivery of all measurements from all the nodes to the fusion centre is not the best solution from the perspective of energy-efficiency. Clustering of nodes with similar channel conditions may reduce the amount of transmitted data, and in consequence reduce the amount of consumed energy. In this paper we investigate the performance of selected algorithms known in the domain of artificial intelligence, applied to perform reliable yet energy-aware spectrum sensing.

Keywords: Signal detection Clustering Classification

Published: 2021-03-31
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-73423-7_4

Efficient Clustering Schemes Towards Information Collection

Abstract

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