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

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.