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[期刊论文]
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Adaptive Particle Swarm Optimisation based Energy Efficient Dynamic Correlation Behavior of Secondary Nodes in Cognitive Radio Sensor Networks
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作 者：
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Amrit Mukherjee;Pratik Goswami;Ziwei Yan;Lixia Yang;
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出版年：2020
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页 码：1658 - 1665
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出版社：Institution of Engineering and Technology (IET)
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摘 要：
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Wireless sensor network enhances the classic features of wireless communication with cognitive capabilities for efficient spectrum usage. This work focuses on the dynamic correlation between the secondary users (SUs) based on their statistical behaviour while performing the cooperative communication in cognitive radio sensor network. The proposed approach addresses the problem of uneven and repetitive communication between the SUs in a cooperative communication scenario. The authors’ objective is to use a novel approach based on the Gaussian copula theory and advanced particle swarm optimisation algorithm to analyse the dependencies of time-varying spectrum sensing behaviour of multiple SUs. Here, time delay in prediction reduces due to the analysis of the dynamic correlation between the time delay in spectrum sensing results for the same set of channels. The simulation results show the performance of the proposed approach outperforming the other well-known techniques.
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关键字：
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cooperative communication scenario; wireless sensor network; wireless communication; statistical behaviour; uneven communication; cognitive capabilities; advanced particle swarm optimisation algorithm; time delay; Gaussian copula theory; repetitive communication; secondary nodes cognitive radio sensor networks; time-varying spectrum sensing behaviour; energy efficient dynamic correlation behaviour; spectrum sensing results; secondary users; multiple SUs; efficient spectrum usage
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