Cooperative spectrum sensing based on an efficient adaptive artificial bee colony algorithm
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- 作者：Xinbin Li (1)
Lu Lu (1)
Lei Liu (1)
Guoqiang Li (1)
Xinping Guan (2)
1. Key Lab of Industrial Computer Control Engineering of Hebei Province ; Yanshan University ; Hebei聽 ; 066004 ; China
2. Institute of Automation ; Shanghai Jiaotong University ; Shanghai聽 ; 200030 ; China - 关键词：Artificial bee colony ; Adaptive ; Cooperative spectrum sensing ; Cognitive radio
- 刊名：Soft Computing - A Fusion of Foundations, Methodologies and Applications
- 出版年：2015
- 出版时间：March 2015
- 年：2015
- 卷：19
- 期：3
- 页码：597-607
- 全文大小：381 KB
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- 刊物主题：Numerical and Computational Methods in Engineering
Theory of Computation
Computing Methodologies
Mathematical Logic and Foundations
Control Engineering - 出版者：Springer Berlin / Heidelberg
- ISSN：1433-7479
文摘
In this paper, we present an efficient adaptive artificial bee colony (EA-ABC) algorithm that includes an adaptive mutation mechanism, guaranteed convergence mechanism and optimal tracking mechanism. The EA-ABC algorithm is applied to cooperative spectrum sensing for a cognitive radio field. An efficient sensing scheme can reduce the false alarm probability and enhance the detection probability, which can improve spectrum utilization. Simulations are conducted to compare the performance of the proposed cooperative spectrum sensing method based on the EA-ABC algorithm with that of the cooperative spectrum sensing method using the ABC, particle swarm optimization (PSO), and modified PSO algorithms. The simulation results validate the effectiveness and reliability of the proposed method and demonstrate that EA-ABC-based can achieve higher detection probability than other methods under the same false alarm probability.