Entropy Weight and Grey Relation Analysis Based Load Balancing Algorithm in Heterogeneous Wireless Networks
Entropy Weight and Grey Relation Analysis Based Load Balancing Algorithm in Heterogeneous Wireless Networks
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DOI：
10.1109/wicom.2012.6478516
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发表时间：
2012-09
期刊：
影响因子：
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通讯作者：
Jie Sheng;Bing Qi;Xi-jie Dong;Liang-Rui Tang
中科院分区：
文献类型：
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作者：
Jie Sheng;Bing Qi;Xi-jie Dong;Liang-Rui Tang
针对现有负载均衡算法未能充分考虑各接入网的真实的实时性能水平的问题，提出了一种新的负载均衡算法。该方法首先根据各网络的接收信号强度、剩余可用资源和当前业务阻塞率构建判断矩阵。其次，通过标准化处理和灰关联计算，得到反映各接入网性能水平的灰关联矩阵。然后采用熵权法合理确定各性能指标的权重，结合相关矩阵得到各异构网络性能的排序。当用户请求接入或切换网络时，根据排序结果选择最优网络。仿真结果表明，该算法在系统阻塞率和异构网络间负载均衡方面均优于参考算法。
Aiming at working out the problem of existing load balancing algorithms that failed to consider the real time performance level of each access network sufficiently, a new load balancing algorithm is proposed in this paper. Firstly, a judgment matrix is constructed by the received signal strength, the remaining available resources and the current business blocking rate of each network. Secondly, the gray relational matrix reflecting the level of performance for each access network is obtained through standardized processing and gray relational calculation. Then entropy weight method is adopted to acquire the weight of each performance index reasonably, and combined with the correlation matrix we can get the sort of each heterogeneous network performance. The optimal network will be picked up according to the results of the sort when users request network access or switching. Simulation results show that the proposed algorithm performs much better than reference algorithms with respect to the system blocking probability as well as the load balance between heterogeneous networks.