2015 | OriginalPaper | Buchkapitel
Load Balancing Algorithm Based on Neural Network in Heterogeneous Wireless Networks
verfasst von : Xin Song, Liangming Wu, Xin Ren, Jing Gao
Erschienen in: Advances in Neural Networks – ISNN 2015
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Some load balancing algorithms in heterogeneous wireless networks can not consider the problems arising from the admission control of new service and service transfer of heavy load networks. To solve these problems, we propose a load balancing algorithm based on neural networks. This algorithm is used to conduct prediction through network load rate and achieve the network admission of new service by combining an admission control optimization algorithm. Moreover, by analyzing network performance, some services of heavy load network are transferred to overlay light load network. The simulation results indicate that our algorithm can well realize the load balancing of heterogeneous wireless network and provide high resource utilization.