四川大学学报（自然科学版）Issue(6)：1241-1246,6.DOI:10.3969/j.issn.0490-6756.2013.06.016
一种基于元胞遗传的网络拥塞控制方法
A network congestion control method based on cellular genetic
摘要
Abstract
In order to mitigate the network congestion problem with rapid growth of network needs ,a novel network congestion control method (Cellular Genetic-based Congestion Control algorithm ,CGCC) is proposed by cellular genetic .In this algorithm ,the slow-start and congestion avoid tactics are im-proved at first ,and the state prediction method of arrival data packet is presented by evolution rules in cellular genetic .Then ,a simulation was conducted to study CGCC and TAHOE ,as well as RENO algo-rithm with actual data .The results show that DFCA has better adaptability .关键词
拥塞控制/慢启动/拥塞避免/元胞遗传Key words
congestion control/slow-start/congestion avoid/cellular genetic分类
信息技术与安全科学引用本文复制引用
张春琴,谢立春..一种基于元胞遗传的网络拥塞控制方法[J].四川大学学报（自然科学版）,2013,(6):1241-1246,6.基金项目
浙江省自然科学基金 （）
