多价格竞争网络环境中移动代理的随机路径寻优

在多个提供商提供的多价格竞争网络环境中 ,端用户在访问内容提供商提供的内容时 ,需要与对多个网络提供商的网络性能和价格进行比较 ,以确定一个在一定 Qo S约束下的最优路径 .基于移动代理进行网络信息的采集 ,将网络延迟和费用成本均设为随机变量 ,在随机网络中建立了一个费用成本和延迟时间双重期望值目标的最小化模型 ,应用遗传算法对移动代理的路径进行了最优化求解 ,最后进行了仿真计算

On Searching the Optimal Stochastic Route of a Mobile Agent in Multi-Price Competitive Network Environment

In order to determine an optimal route from service provider to content provider,the network performance and cost of many network providers must be compared when end-user visit the content provided by content provider under the certain Qos constraints in multi-price competitive network.The correlative network information is collected by mobile agent.The delay and cost between any two nodes of network is set to random variables.The minimum model with expectation of cost and delay value is presented in a stochastic network.The optimal solution of mobile agent route from service provider to content provider is computed and using genetic algorithms.In a case scenarios of data simulation ,the result obtained show operation effectiveness of the above approach.