基于MADM与模糊综合评价的异构无线网络选择算法

Heterogeneous Wireless Network Selection Algorithm Based on MADM and Fuzzy Comprehensive Evaluation

针对接入网选择中出现的负载不均衡和失序问题,提出了一种基于MADM与模糊综合评价的异构无线网络选择算法,算法基于不同类型用户群的业务和偏好,利用MADM中的熵权法和层次分析法分别计算四种业务类型下的主客观权重,当用户以服务质量为优先选网策略时,采用乘法合成法融合权重;当用户以价格为偏好时,利用线性加权法进行组合赋权。最后通过模糊综合评价计算四种业务类型下基于两种用户偏好的网络得分,进行接入网决策。仿真结果表明,采用不同的权重组合策略去满足不同的用户选网偏好,与单一的权重融合方法相比,能够较好地均衡网络负载;与TOPSIS排序法相比,提出的模糊综合评价算法准确率更高,均衡负载的性能更好,且避免了接入网选择过程中产生的失序问题。

In order to solve the problem of load imbalance and out of order in access network selection,a heterogeneous wire⁃less network selection algorithm based on MADM and fuzzy comprehensive evaluation is proposed.Based on the services and prefer⁃ences of different types of users,the entropy weight method and analytic hierarchy process(AHP)in MADM are used to calculate the subjective and objective weights under the four service types respectively.When the user's preference is price,the linear weight⁃ing method is used to combine the weights.Finally,fuzzy comprehensive evaluation is used to calculate the network scores based on two user preferences under the four service types to make access network decision.The simulation results show that different weight combination strategies can better balance the network load compared with the single weight fusion method.Compared with TOPSIS ranking method,the proposed fuzzy comprehensive evaluation algorithm has higher accuracy,better load balancing performance,and avoids the out of order problem in the process of access network selection.