A Novel Energy-Efficient Clustering Based Cooperative Spectrum Sensing for Cognitive Radio Sensor Networks

A Novel Energy-Efficient Clustering Based Cooperative Spectrum Sensing for Cognitive Radio Sensor Networks
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DOI:
10.1155/2015/198456
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发表时间:
2015-01-01
影响因子:
2.3
通讯作者:
Shin, Soo Young
Shin, Soo Young
中科院分区:
计算机科学4区
文献类型:
--
作者:
Rauniyar, Ashish;Shin, Soo Young

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认知无线电被认为是有效利用稀缺频谱资源的一种很有前途的方法。认知无线电传感器网络(CRSN)是一种具有认知无线电能力的无线传感器网络。聚类是一种可以应用于无线传感器网络的流行技术,尽管它已被证明是在crsn中实现它的一个挑战。此外,很少有建议成功地将节能聚类技术应用于CRSNs。为此,本文提出了一种基于协同频谱感知(ECS)的CRSNs节能聚类方法,旨在提高CRSNs的能效、网络寿命、网络稳定性和优化簇头选择过程。所提出的ECS方案利用传感器节点之间的配对以及在清醒和睡眠模式之间切换的概念来提高能源效率。在MATLAB中进行了全面的仿真,验证了该方法的有效性。仿真结果表明,与传统方法相比,该方法具有更高的能效,并延长了CRSN的整体寿命。
Cognitive radio has been proposed as a promising way to effectively utilize the scarce spectrum resources. A cognitive radio sensor network (CRSN) is a wireless sensor network that is equipped with cognitive radio capability. Clustering is a popular technique that can be applied to wireless sensor networks, although it has been proven to be a challenge to implement it in CRSNs. Moreover, few proposals have successfully applied energy-efficient clustering techniques in CRSNs. Therefore, with the aim of increasing energy efficiency, network lifetime, network stability, and optimal cluster-head selection process, this paper proposes a novel energy-efficient clustering based on cooperative spectrum sensing (ECS) for CRSNs. The proposed ECS scheme utilizes the concept of pairing among sensor nodes and switches between Awake and Sleep modes for energy efficiency. A comprehensive simulation in MATLAB was carried out to validate the proposed method. The simulation results show that, compared with conventional methods, the proposed method is more energy efficient and that the overall CRSN's lifetime is prolonged.