认知无线电传感器网络中基于能量高效频谱感知的分布式集群路由

Randa Bakr, A. El-Banna, Sami A. A. El-Shaikh, A. S. Eldien
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引用次数: 4

摘要

认知无线传感器网络(CRSNs)已成为新一代智能无线传感器网络(WSNs)技术的重要组成部分。此外,高效的集群和路由可以通过考虑网络的稳定性和连接性来提高网络性能,从而延长网络的生命周期。在本文中,我们提出了一种方案,旨在通过节省簇内节点之间的通信能量,以及簇头(CH)节点与基站(BS)之间的通信能量来构建CRSNs的节能聚类。该方案利用评价标准,通过计算每个节点的权重值来定义每个集群的CH节点,并根据节点的最大权重值来选择CH。此外,为了在CHs之间建立路由,我们考虑了它们之间的公共通道以及从簇头到接收器的最短距离。通过这种方式,集群和路由可以提高网络性能,延长网络生命周期。为了证实所提出的方案,在MATLAB中进行了大量的仿真,仿真结果表明所提出的技术在网络寿命方面优于其他算法。
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Energy Efficient Spectrum Aware Distributed Cluster-Based Routing in Cognitive Radio Sensor Networks
Cognitive Radio Sensor Networks (CRSNs) have become an integral portion of the new generation of smart Wireless Sensor Networks (WSNs) technology. Moreover, efficient clustering and routing could enhance the network performance by taking into account the stability and connectivity of the network that expands the network's lifetime. In this paper, we propose a scheme that aims to construct an energy-efficient clustering for CRSNs through saving the intra-communication energy between nodes into the cluster, in addition to the inter-communication energy between Cluster Head (CH) nodes to the Base Station (BS). The scheme utilizes evaluation criteria to define the CH node for each cluster by calculating a weight value for each node, and depending on the maximum weight value for nodes, the CH is picked. Moreover, to establish a route between CHs, we consider common channels between them plus the shortest distance from cluster heads to the sink. In this way, clustering and routing could enhance the network performance and extend the lifetime. To corroborate the proposed scheme, extensive simulations in MATLAB were carried out and the results of the simulation showed the superiority of the proposed technique over other algorithms in terms of the network’s lifetime.
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