Name
Title | ||
|---|---|---|
A scheduling method of data transmission in the internet communication by recurrent neural network |
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. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11553939_174 | KES (3) |
Keywords | Field | DocType |
internet communication,proposed rnn,computers condition,network environment,network device,network communication,scheduling method,secure internet environment,recurrent neural network,time series data,data transmission,local area network,remote monitoring | Computer science,Networking hardware,Computer network,Recurrent neural network,Network simulation,Network architecture,Local area network,Network traffic control,Intelligent computer network,Distributed computing,Network management station | Conference |
Volume | ISSN | ISBN |
3683 | 0302-9743 | 3-540-28896-1 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Norio Ozaki | 1 | 5 | 2.69 |
| Takumi Ichimura | 2 | 120 | 35.31 |