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异构物联网中基于遗传算法的频谱分配方法

Spectrum Allocation Method Based on Genetic Algorithm in Heterogeneous Internet of Things
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摘要 基于异构物联网的频谱特性和物联网络分布特点,研究针对异构物联网的频谱分配问题,提出基于遗传算法的异构物联网频谱分配方法,通过引入信道粒度的概念,结合频谱感知的信息,综合考虑信道重叠、网络重叠、信道可用性等因素,合理分配可用频谱资源,以达到系统性能最优和避免网络之间和网络内的同频干扰的目的。仿真结果表明,该方法相比基于随机算法的频谱分配方法,网络效益提升显著,有效避免了物联网间的同频干扰。 Based on the spectrum characteristics of heterogeneous Internet of Things(IoT)and the distribution characteristics of IoT networks,the spectrum allocation problem for heterogeneous IoT was studied and the heterogeneous IoT spectrum allocation method based on genetic algorithm was proposed.By introducing the concept of channel granularity and combining the information of spectrum sensing,the factors such as channel overlap,IoT overlap and channel availability were comprehensively considered.The available spectrum resource was allocated reasonably to achieve optimal system performance and avoid the same frequency interference between and within the IoT networks.Simulation results showed that,compared with the spectrum allocation method based on random algorithm,this method could obtain higher network utility and effectively avoid the same frequency interference between and within the IoT networks.
作者 刘卫 蒋鹏 富爽 Liu Wei;Jiang Peng;Fu Shuang(College of Information and Electrical Engineering,Heilongjiang Bayi Agricultural University,Daqing 163319)
出处 《黑龙江八一农垦大学学报》 2022年第6期96-102,109,共8页 journal of heilongjiang bayi agricultural university
基金 黑龙江省自然科学基金优秀青年项目(YQ2019F014) 国家留学基金(201708230301) 黑龙江八一农垦大学青年创新人才培养计划(ZRCQC201807) 黑龙江八一农垦大学博士科研启动基金(XDB2015-28)。
关键词 认知无线电 物联网 频谱分配 遗传算法 cognitive radio IoT networks spectrum allocation genetic algorithm
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