JOURNAL ARTICLE

Distributed Spectrum-Aware Clustering in Cognitive Radio Sensor Networks

Abstract

A novel Distributed Spectrum-Aware Clustering (DSAC) scheme is proposed in the context of Cognitive Radio Sensor Networks (CRSN). DSAC aims at forming energy efficient clusters in a self-organized fashion while restricting interference to Primary User (PU) systems. The spectrum-aware clustered structure is presented where the communications consist of intra- cluster aggregation and inter-cluster relaying. In order to save communication power, the optimal number of clusters is derived and the idea of groupwise constrained clustering is introduced to minimize intra-cluster distance under spectrum-aware constraint. In terms of practical implementation, DSAC demonstrates preferable scalability and stability because of its low complexity and quick convergence under dynamic PU activity. Finally, simulation results are given to validate the proposed scheme.

Keywords:
Cognitive radio Computer science Cluster analysis Scalability Constraint (computer-aided design) Interference (communication) Distributed computing Context (archaeology) Convergence (economics) Wireless sensor network Scheme (mathematics) Cluster (spacecraft) Stability (learning theory) Computer network Wireless Telecommunications Artificial intelligence Engineering Mathematics Machine learning

Metrics

87
Cited By
7.34
FWCI (Field Weighted Citation Impact)
11
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cognitive Radio Networks and Spectrum Sensing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Energy Efficient Wireless Sensor Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications

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JOURNAL ARTICLE

Energy-efficient spectrum-aware clustering for cognitive radio sensor networks

Huazi ZhangZhaoyang ZhangChau Yuen

Journal:   Chinese Science Bulletin Year: 2012 Vol: 57 (28-29)Pages: 3731-3739
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