CAJ | 학술논문

随着网络资源日益紧张，认知无线Mesh网络中的频谱优化分配问题的研究主要集中在总带宽的最大化和占用频谱数的最小化。文中考虑到杂草算法的多样性以及容易实现和编码快捷等特点，提出一种基于改进入侵杂草优化算法（ IWO）的频谱优化分配方法（ IIOW）。通过对扩散条件中调和指数的优化，使得扩散更加均匀准确，大大加快收敛速度，同时优化了适应度函数的曲线。仿真结果表明：基于改进IWO的优化算法能在最大化总带宽与最小化信道占用数的情况下，获得较为理想的适应度函数曲线，同时加快收敛速度。
수착망락자원일익긴장，인지무선Mesh망락중적빈보우화분배문제적연구주요집중재총대관적최대화화점용빈보수적최소화。문중고필도잡초산법적다양성이급용역실현화편마쾌첩등특점，제출일충기우개진입침잡초우화산법（ IWO）적빈보우화분배방법（ IIOW）。통과대확산조건중조화지수적우화，사득확산경가균균준학，대대가쾌수렴속도，동시우화료괄응도함수적곡선。방진결과표명：기우개진IWO적우화산법능재최대화총대관여최소화신도점용수적정황하，획득교위이상적괄응도함수곡선，동시가쾌수렴속도。
As resources of networks become increasingly tight , the research on the spectrum allocation optimization of cognitive wireless mesh networks focuses on maximization of the total bandwidth and minimized number of spec -trum occupation .This paper proposed an improved algorithm for spectrum allocation based on invasive weed optimi-zation ( IWO) after considering such characters as the diversity of the weed algorithm , easy realization and fast cod-ing.By optimizing the harmonic index in diffusion conditions , the diffusion becomes more even and accurate , the convergence speed becomes faster; in addition , the curve of the fitness function is optimized .Simulation results show that the optimization algorithm based on improved IWO can realize ideal fitness function and speed up conver -gence speed under the conditions of maximizing the total bandwidth and minimizing the number of occupied chan -nels.