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.
出处
《计算机测量与控制》
北大核心
2013年第6期1631-1633,共3页
Computer Measurement &Control
关键词
物联网
克隆优化
认知无线电
权重融合
频谱选择
Internet of things
clone optimization
cognitive radio
weight fusion
spectrum selection
