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作 者:于慧思 张爽 黄春雨[2] YU Hui-si;ZHANG Shuang;HUANG Chun-yu(Changchun College of Electronic Technology,Changchun Jilin 130114,China;Changchun University of Science Technology,Changchun Jilin 130000,China)
机构地区:[1]长春电子科技学院,吉林长春130114 [2]长春理工大学,吉林长春130000
出 处:《计算机仿真》2022年第4期345-349,共5页Computer Simulation
摘 要:随着通信技术的快速发展以及用户业务需求的不断提升,异构无线网络的选择策略已成为研究的必然趋势,所以提出了联合可变权重的异构无线网络选择方法。首先从网络层、应用层以及用户层三方面进行考虑,对网络属性值进行归一化处理,通过加权和对各个候选网络的评价值进行计算。然后利用效用函数的单调性特点构造出有关偏好程度的函数,并在Sigmoid函数中引入附加条件,以达到满足用户需求和提高灵敏度的目的。最后采用AHP算法和CRITIC算法分别计算出主观权重和客观权重,对决策矩阵中的成本型和效益型属性进行无量纲归一化处理,求出归一化决策矩阵,采用最小二乘法对可变权重值进行计算,选出目标网络。实验结果表明,上述算法与传统算法相比,具有更高的辨识性,明显提高了网络的选择性能。With the rapid development of communication technology and the continuous improvement of user business requirements, the selection strategy of heterogeneous wireless network has become an inevitable trend of research. Therefore, this paper proposes a joint variable weight heterogeneous wireless network selection method. Firstly, considering the network layer, application layer and user layer, the network attribute values were normalized, and the evaluation values of each candidate network were calculated by weighted sum. Then, the function of preference degree was constructed by using the monotonicity of utility function, and additional conditions were introduced into the function to meet the needs of users and improve the sensitivity. Finally, AHP algorithm and CRITIC algorithm were used to calculate the subjective weight and objective weight respectively. The cost and benefit attributes in the decision matrix are normalized dimensionlessly to obtain the normalized decision matrix. The variable weight value was calculated by the least square method to select the target network. The experimental results show that the algorithm has higher identifiability than the traditional algorithm, and significantly improves the performance of the network.
关 键 词:异构无线网络 可变权重 归一化处理 最小二乘法 目标网络
分 类 号:TN929[电子电信—通信与信息系统]
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