Energy-Efficient Cooperative Spectrum Sensing with a Merged Clustering Measure

被引：0
|
作者：
Cichon, Krzysztof [1 ]
Kliks, Adrian [1 ]
Bogucka, Hanna [1 ]
机构：
[1] PUT, Poznan, Poland
来源：
2017 IEEE 13TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB) | 2017年
关键词：
Energy efficiency; cooperative spectrum sensing (CSS); clustering; node selection; network correlation; MACHINE-LEARNING TECHNIQUES; COGNITIVE RADIO NETWORKS; SYSTEMS;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The article presents an analysis of correlationbased clustering procedure in cooperative spectrum sensing. The motivation is to assess if it is more beneficial in terms of energy efficiency to group nodes according to the received signal-to-noise ratio (SNR) on the link between Primary User and node or according to the distance between nodes. To this end, a merged clustering measure is introduced. Then a number of network topologies are compared via computer simulations.
引用
收藏
页码：38 / 43
页数：6
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