Computer Engineering and Applications ›› 2019, Vol. 55 ›› Issue (14): 83-86.DOI: 10.3778/j.issn.1002-8331.1805-0509

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Artificial Physics Multi-Objective Algorithm for Spectrum Detection of Cognitive Internet of Things

WANG Yulei1,2, QIU Gang3   

  1. 1.Center of Information Development and Management, Nanyang Institute of Technology, Nanyang, Henan 473009, China
    2.School of Information Engineering, Wuhan University of Technology, Wuhan 430063, China
    3.School of Software, Nanyang Institute of Technology, Nanyang, Henan 473009, China
  • Online:2019-07-15 Published:2019-07-11


王玉磊1,2,邱  罡3   

  1. 1.南阳理工学院 信息化建设与管理中心,河南 南阳 473009
    2.武汉理工大学 信息工程学院,武汉 430063
    3.南阳理工学院 软件学院,河南 南阳 473009

Abstract: Aiming at the conflict between detection performance and energy consumption of spectrum detection in cognitive Internet of Things, it is modeled as a multi-objective optimization problem, and the trade-off solutions between performance and energy consumption are to be found. Furthermore, an artificial physics optimization algorithm is proposed to solve it. The calculation method of individual mass and particle force are designed. The simulation results show that the proposed algorithm can effectively reduce the energy consumption while keeping high detection accuracy, and it is suitable for the spectrum detection in the cognitive Internet of Things.

Key words: artificial physics, multi-objective optimization, cognitive radio network, Internet of Things, spectrum detection

摘要: 针对认知物联网中频谱感知的检测性能和能耗需求之间的相互制约性,将其建模为一个多目标优化问题,寻求性能与能耗之间的折衷解。进而提出一种基于人工物理学优化的解决方案,设计了适合问题求解的个体质量、微粒所受合力的计算方法。仿真实验表明,所提算法在基本不影响检测准确性的同时有效降低了能耗,适合认知物联网中的频谱感知。

关键词: 人工物理学, 多目标优化, 认知无线电网络, 物联网, 频谱感知