考虑萤火虫群的网络生存性计算方法  

Network survivability calculation method based on glowworm swarm

作　　者：赵攀[1] 

机构地区：[1]四川理工学院计算机系,四川自贡643000

出　　处：《辽宁工程技术大学学报（自然科学版）》2014年第3期374-378,共5页Journal of Liaoning Technical University (Natural Science)

基　　金：国家自然科学基金资助项目(60372013);人工智能四川省重点实验室开放基金资助项目(2012RYY02);四川理工学院培育基金资助项目(2012PY13)

摘　　要：为解决网络中因链路失效而产生的拥塞问题.利用萤火虫群提出一种新的网络生存性评价方法 (Survivability algorithm based on Glowworm Swarm,SGS).给出了生存性的评价指标,针对失效状态下的到达流量,利用萤火虫群优化算法来获得最佳网络剩余流量.通过OPNET和MATLAB进行联合仿真实验,深入研究网络生存性与失效链路、荧光素系数、权重系数等参数之间的关系.研究结果表明:相比于其它方法,SGS表现出较好的适应性.In order to mitigate the network congestion by link failures, a novel survivability evaluation method （Survivability algorithm based on Glowworm Swarm, SGS） was proposed by Glowworm Swarm in the paper. In this method, the evaluation index of survivability was presented at, and the optimization network remaining flow was obtained by glowworm swarm for the arrivel flow in failures state. A simulation was conducted to study the relationship between network survivability and failures link, fluorescence factor, as well as weight factor with OPNET and MATLAB. Compared with other method, SGS algorithm has better adaptability.

关 键 词：网络 链路 生存性 失效 剩余流量 评价指标 萤火虫群 荧光素 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]