Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/43749
Title: Adaptive Streaming Framework for Small Scale Remote Monitoring and Control Applications
Authors: WU RONG
Keywords: adaptive streaming, remote monitoring, video streaming, parallel programming, ghost driving, network streaming
Issue Date: 30-May-2013
Source: WU RONG (2013-05-30). Adaptive Streaming Framework for Small Scale Remote Monitoring and Control Applications. ScholarBank@NUS Repository.
Abstract: This project provides a framework for small scale remote monitoring and control systems which do not have their own communication infrastructures, and depend heavily on public networks. Parallel communications using different transmission protocols are implemented so that multiple data types can be transmitted at different frequencies with different priority levels. Adaptive video streaming is employed to ensure smooth communication when network bandwidth varies. Video usually takes up much of bandwidth. In this framework, video frame rate is auto-adjusted according to network speed, user options are available for different resolution level, allowing cropping of image also reduces the amount of data significantly. Synchronization of the host and remote stations allows user to tell timeliness of the data. Obsolete data should not be used for critical decision making. Network Time Protocol (NTP) technique is employed for synchronization. This framework is tested in a remote electric car driving project, and results are presented.
URI: http://scholarbank.nus.edu.sg/handle/10635/43749
Appears in Collections:Master's Theses (Open)

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