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J. C. Lu, Z. H. Gu, and H. Q. Wang, “Research on the application of the wavelet neural network model in peak load forecasting considering of the climate factors,” Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, IEEE, Guangzhou, China, August 2005.

has been cited by the following article:

• TITLE: A Multipath Routing Algorithm Based on Traffic Prediction in Wireless Mesh Networks

  AUTHORS: Zhiyuan LI, Ruchuan WANG

  KEYWORDS: Wireless Mesh Networks, Non-Linear Traffic Prediction Model, Multipath Routing, QoS

  JOURNAL NAME: Communications and Network, Vol.1 No.2, December 1, 2009

  ABSTRACT: The technology of QoS routing has become a great challenge in Wireless Mesh Networks (WMNs). There exist a lot of literatures on QoS routing in WMNs, but the current algorithms have some deficiencies, such as high complexity, poor scalability and flexibility. To solve the problems above, a multipath routing algorithm based on traffic prediction (MRATP) is proposed in WMNs. MRATP consists of three modules including an algo-rithm on multipath routing built, a congestion discovery mechanism based on wavelet-neural network and a load balancing algorithm via multipath. Simulation results show that MRATP has some characteristics, such as better scalability, flexibility and robustness. Compared with the current algorithms, MRATP has higher success ratio, lower end to end delay and overhead. So MRATP can guarantee the end to end QoS of WMNs.