认知物联网空闲频谱选择算法及其克隆优化实现  

An Idle Spectrum Selection Algorithm and its Clonal Optimization Implement in Cognitive Internet of Things

作　　者：杨建强[1] 王鹏宇[1] 

机构地区：[1]鹤壁职业技术学院电子信息工程学院,河南鹤壁458030

出　　处：《计算机测量与控制》2013年第6期1631-1633,共3页Computer Measurement &Control

摘　　要：针对物联网的无线频谱需求,基于认知无线电技术,设计了一种基于克隆优化实现的频谱选择算法。由于频谱的多属性特点,设计了一种权重融合模型来提高决策的合理性。克隆优化实现中,抗体克隆扩增时根据激励度进行,保证了解的多样性。在三种不同类型的业务(话音、视频和文件传输)环境下进行仿真。仿真实验结果表明,本算法能够很好地满足物联网节点对无线频谱资源的需求。Aiming at the demand for wireless spectrum resources in Internet of things, a spectrum allocation optimization algorithm was designed based on immune algorithm using cognitive radio technology. A weight fusion model was proposed for spectrum multi--attribute de- cisionmaking to improve the rationality of the decision--making. According to the degree of incentive to clone which ensure the diversity of the solutions. Simulation were done under three different types of services （voice, video and file transfer）. The experimental results show that the algorithm can meet the node transmission needs of the Internet of Things.

关 键 词：物联网 克隆优化 认知无线电 权重融合 频谱选择 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]