基于粗糙集理论和层次分析法的异构无线网络接入选择算法

ACCESS SELECTION ALGORITHM FOR HETEROGENEOUS WIRELESS NETWORKS BASED ON ROUGH SET AND ANALYTIC HIERARCHY PROCESS

针对异构无线网络环境下的基于负载均衡的接入选择算法未能全面考虑判决因素以及合理反映候选网络综合性能水平的问题,利用多属性决策理论提出一种异构无线网络接入选择算法。该算法在满足多属性判决的基础上,采用粗糙集理论和层次分析法确定接入判决指标的主观和客观权重,并通过最小二乘法对主客观权重进行折中选择,判决过程兼顾了网络的综合性能水平和用户的喜好,提高了网络接入选择的准确性和合理性。仿真结果表明,该算法相对于参考算法有效降低了系统阻塞率,并有利于异构网络之间的负载均衡。

The load balancing-based access selection algorithms in heterogeneous wireless networks fail to take full account of the decision factors and to reasonably reflect the comprehensive performance level of the candidate networks,in light of these problems,in this paper we propose an access selection algorithm for heterogeneous wireless network by the adoption of multi-attribute decision making theory.On the basis of satisfying the multi-attribute judgment,the rough set theory and analytical hierarchy process are respectively used in the algorithm to determine the subjective and objective weights of access judgement indexes.Meanwhile,the least square method is employed to make the compromised selection on either the subjective or objective weights.The comprehensive performance level of networks and the user preferences are both considered in judging process,which improves the accuracy and reasonability of the network access selection.Simulation results show that the proposed algorithm performs much better than the reference algorithms with respect to the system blocking probability as well as the load balance between the heterogeneous networks.