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An efficienct way for sharing real-time data and the application of remote network video system

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5 Author(s)
Jyh-Horng Wul ; National Center for High-Performance Comput., Hsinchu, Taiwan ; Ho-Cheng Lien ; Chen-Pey Huang ; Yi-Haur Shiau
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This study is to integrate the current monitoring systems and to develop the multicasting and peer-to-peer network environment for end users. Because the bandwidth of network is limited where the camera is located, the transmission of images will delay or crash when over a few numbers of end user login simultaneously. In this paper, the middleware for sharing realtime data will be developed to solve the problem of limitation for multi-connection from fields. The monitoring systems for flood events, that are located in the rivers, creeks, reservoirs, and pump stations of Taiwan, will be integrated as a demo case to show the capability of the system integration. And in this case will also show how the performance is that sharing real-time data for unlimited number of users with limited network bandwidth.

Published in:

Cellular Neural Networks and Their Applications, 2005 9th International Workshop on

Date of Conference:

28-30 May 2005