Sustainability Enhancement Multihop Clustering in Cognitive Radio Sensor Networks
Sustainability Enhancement Multihop Clustering in Cognitive Radio Sensor Networks
复制标题
DOI：
10.1155/2015/574340
复制
发表时间：
2015-10
影响因子：
2.3
通讯作者：
Jong-Hong Park;Yeonghun Nam;Jong‐Moon Chung
中科院分区：
文献类型：
--
作者：
Jong-Hong Park;Yeonghun Nam;Jong‐Moon Chung
为了最大化认知无线电传感器网络的能量效率，提出了一种基于认知无线电的混合数据类型分簇算法（CR-HDC）.通过分析CRSNs在各种条件下的总能量消耗，传感器节点的最佳传输范围可以得到时，频谱切换（SHO）应用和当它不。仿真结果表明，CR-HDC实现性能增强的网络生命周期和在基站（BS）接收到的数据包的数量相比，当应用集中式低能量自适应聚类层次（LEACH-C）或混合数据类型聚类（HDC）CRSN环境。
A cognitive radio based hybrid data-type clustering (CR-HDC) algorithm is proposed to maximize network energy efficiency of cognitive radio (CR) sensor networks (CRSNs). By analyzing the overall energy consumption of CRSNs under various conditions, the optimal transmission range of a sensor node can be obtained for both when spectrum handoff (SHO) is applied and when it is not. Simulation results show that CR-HDC achieves performance enhancements in terms of network lifetime and the number of packets received at the base station (BS) compared to when applying the centralized low energy adaptive clustering hierarchy (LEACH-C) or hybrid data-type clustering (HDC) to CRSN environments.