一种考虑网络能效优化的队列管理方法
发布时间：2018-11-12 10:06
【摘要】：针对网络数据传输过程中传输速率慢、网络能耗高等问题,本文基于混合引力搜索算法HGSA提出了一种队列管理方法.该方法首先给出了网络能效评价指标,以此衡量网络的有效信息容量和传输速率.同时利用混合引力搜索算法来对队列管理方法进行优化.最后通过数学仿真,分析了队列长度、数据包大小等对网络能效的影响,结果证明了该方法具有较好的适应性.
[Abstract]:Aiming at the problems of slow transmission rate and high network energy consumption during data transmission, a queue management method based on hybrid gravitational search algorithm (HGSA) is proposed in this paper. Firstly, the evaluation index of network energy efficiency is given to measure the effective information capacity and transmission rate of the network. At the same time, a hybrid gravitational search algorithm is used to optimize the queue management method. Finally, the effects of queue length and packet size on network energy efficiency are analyzed by mathematical simulation. The results show that the proposed method has good adaptability.
【作者单位】： 重庆工商大学融智学院大数据研究所;苏州大学计算机科学与技术学院;中国科学院计算机科学国家重点实验室;
【基金】：重庆市教委科学技术研究项目(KJ133103) 江苏省自然科学基金项目(BK2011152) 中国科学院计算机科学国家重点实验室开放课题(CSYSKF0908)
【分类号】：TP393.07
，
本文编号：2326795
[Abstract]:Aiming at the problems of slow transmission rate and high network energy consumption during data transmission, a queue management method based on hybrid gravitational search algorithm (HGSA) is proposed in this paper. Firstly, the evaluation index of network energy efficiency is given to measure the effective information capacity and transmission rate of the network. At the same time, a hybrid gravitational search algorithm is used to optimize the queue management method. Finally, the effects of queue length and packet size on network energy efficiency are analyzed by mathematical simulation. The results show that the proposed method has good adaptability.
【作者单位】： 重庆工商大学融智学院大数据研究所;苏州大学计算机科学与技术学院;中国科学院计算机科学国家重点实验室;
【基金】：重庆市教委科学技术研究项目(KJ133103) 江苏省自然科学基金项目(BK2011152) 中国科学院计算机科学国家重点实验室开放课题(CSYSKF0908)
【分类号】：TP393.07
，
本文编号：2326795
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