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Energy-efficient cluster head selection for cognitive radio sensor networks

机译:认知无线电传感器网络的节能簇头选择

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In this paper, we propose an Energy-Efficient Cluster Head Selection (ECHS) approach for Cognitive Radio Sensor Networks (CRSNs). ECHS achieves energy-efficient clustering while considering the dynamic channel access nature of CRSNs. ECHS is a distributed algorithm in which serving as a cluster head depends on two factors: the channel availability in the node's vicinity and the node's energy. To tackle the hot spot problem caused by the high traffic near the sink, ECHS forms many small clusters near the sink to share the forwarding load of the rest of the network. Dynamic channel assignment at the cluster heads is used to minimize the co-channel interference. Simulation results show that ECHS achieves a remarkable throughput increase while extending the network lifetime.
机译:在本文中,我们提出了一种用于认知无线电传感器网络(CRSN)的节能簇头选择(ECHS)方法。 ECHS在考虑CRSN的动态信道访问特性的同时实现了节能集群。 ECHS是一种分布式算法,其中充当簇头取决于两个因素:节点附近的信道可用性和节点的能量。为了解决由接收器附近的高流量引起的热点问题,ECHS在接收器附近形成了许多小型群集,以分担网络其余部分的转发负载。群集头的动态信道分配用于最大程度地减少同信道干扰。仿真结果表明,ECHS在显着提高吞吐量的同时延长了网络寿命。

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