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.
In order to promote the network data transmission rate and the energy efficiency of the net- work, a queue management method is proposed by hybrid Gravitional search algorithm. At first, the indexes of energy efficiency are defined, which are measured the effective information capacity and trans- mission rate. Then, the queue management method is optimized with hybrid Gravitional search algo- rithm. Finally, the mathematical simulation is conducted to analyze the influence of queue length and packet size on network energy efficiency. The results show that it has better adaptability.
出处
《四川大学学报(自然科学版)》
CAS
CSCD
北大核心
2017年第3期499-503,共5页
Journal of Sichuan University(Natural Science Edition)
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)
关键词
队列管理方法
网络能效
混合引力搜索算法
队列长度
Queue management method
Network energy efficiency
Hybrid gravitional search algo-rithm
Queue length