蚁群算法优化混合无线网络中的网关发现  

Gateway Discovery with Ant Colony Optimization in Hybrid Wireless Networks

作　　者：胡敬伟 张公敬[1] 咸鹤群[1] 

机构地区：[1]青岛大学信息工程学院,青岛266071

出　　处：《青岛大学学报（自然科学版）》2015年第1期70-74,共5页Journal of Qingdao University(Natural Science Edition)

基　　金：青岛市科技发展计划(批准号:13-1-4-151-jc)资助;青岛大学研究生教育创新项目(批准号:QDY13013)资助

摘　　要：将蚁群算法应用到混合无线网络的网关发现过程中,提出了利用蚁群算法实现自适应的分布式网关发现方案。该方案包含节点移动性强度预测模型,对网络拓扑结构的变化具有更强的适应性。通过NS-2仿真实验可知所提方案在数据包投递率、端到端的平均延迟和归一化路径开销方面具有更好的性能。Ant Colony Optimization is applied to the Gateway Discovery problem and a adaptive distributed Gateway Discovery approach with Ant Colony Optimization is advocated.In addition,a mobility prediction model to estimate strength of a concerned node is proposed,this scheme is better adapt to the changes of network topology with the help of the mobility prediction model.The NS-2was employed to implement the scheme simulation and the simulation result demonstrated that the proposed scheme was more efficient than certain existing scheme in terms of packet delivery ratio,average end-to-end delay and normalized routing overhead.

关 键 词：混合无线网络 网关发现 蚁群算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]