基于灰色关联分析的多网络接入系统模型

针对传统网络选择算法无法满足服务质量的不足,提出了一种基于灰色关联分析的多网络接入算法.设计了多网络接入系统模型,确定了吞吐量、接入代价、接入损耗以及负载均衡等网络参数并构建了多网络接入的参数矩阵,结合权重向量,运用灰色关联分析算法确定最佳网络.对该算法进行了实验仿真,并与单网络及传统TOPSIS算法进行对比分析,其结果表明,该多网络接入算法可以明显提升网络性能,为用户提供满意的服务质量.

Multi-network access system model based on gray relational analysis

Aiming at the defects that the traditional network selection algorithm can not meet the service quality, a multi-network access algorithm based on gray relational analysis was proposed. The multi-network access system model was designed, such network parameters as the throughput, access cost, access loss and load balancing were determined, and the parameter matrix of multi-network access was established. In combination with the weight vector, the optimal network was determined with the gray relational analysis algorithm. The experimental simulation for the proposed algorithm was performed and compared with both single network and traditional TOPSIS algorithms. The results show that the proposed multi-network access algorithm can significantly improve the network performance and provide users with satisfactory service quality.