一种考虑用户等级和负载均衡的网络选择算法

A Multiple Network Selection Based on User Level and Loading Balancing

异构无线网融合是未来无线网络的发展趋势,其中一个关键技术问题是如何在多网络共存的环境中合理有效地选择网络。论文根据已有的多属性决策(Multiple-attribute decision making,MADM)网络选择算法中很少考虑网络负载均衡、也没有区分用户等级的问题,提出了考虑用户等级和网络负载的MNSA-PL网络选择算法,算法首先通过AHP方法确定权重,然后使用TOPSIS方法筛选网络,最后对所选网络进行最终选择。利用Matlab对该算法进行仿真。仿真结果表明,MNSA-PL较原始TOPSIS算法在改善网络负载和保证重要用户通信方面有明显的改善。

The convergence of Heterogeneous wireless network is the development trend of the future wireless network, one of the key technology of which is how to selection network reasonably in the environment of multi-network. In this paper, according to the existed mul tiple-attribute decision making algorithms rarely consider the equilibrium problem about load of network and also don＇t distinguish the priority of users, we proposes a MNSA-PL network selection algorithm considering the priority of users and network load. The performance of MN- SA-PL and TOPSIS is compared with MATLAB. It show that UL-MADM improve the network load and ensure improved obviously impor- tant user communication, comparing with the original TOPSIS algorithm.