A scheduling method of data transmission in the internet communication by recurrent neural network

Authors:
Norio Ozaki;Takumi Ichimura
Affiliations:
Department of IT Business, Chugai Technos Inc., Hiroshima, Japan;Faculty of Information Sciences, Hiroshima City University, Hiroshima, Japan
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2005

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Abstract

We developed the Remote Monitoring Intelligent System (RMIS) of Local Area Network (LAN) to realize the secure Internet environment. The RMIS has various agents which work to exchange the information related to computers condition with the network environment. We shall be able to control the quality and quantity in the network communication by their agents. In this paper, we propose the scheduling method of data transmission by Recurrent Neural Networks(RNNs) to avoid traffic jam in the network. Especially, our proposed RNN enables to expect the condition of network at each network device instead of time series data. In order to verify the effectiveness of our proposed method, we report the examination results.