Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICMA.2013.6617919
Title: Adaptive streaming framework for control and monitoring applications
Authors: Kiong, T.K. 
Rong, W.
Htet, K.K.K.
Narayanan, A.S.
Chung, C.-K.
Keywords: Control
Data Streaming
LabView
Monitoring
Video Streaming
Issue Date: 2013
Source: Kiong, T.K.,Rong, W.,Htet, K.K.K.,Narayanan, A.S.,Chung, C.-K. (2013). Adaptive streaming framework for control and monitoring applications. 2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013 : 207-212. ScholarBank@NUS Repository. https://doi.org/10.1109/ICMA.2013.6617919
Abstract: Advances in networking technologies have led to an increasing number of control systems with remote access functionalities. However, key challenges arise and remain in remote control and monitoring applications such as the need to prioritize different data types being transmitted over the same network with limited bandwidth; balancing streaming parameters in data intensive transmissions such as video streaming to meet a desired outcome at the receiving end, and synchronization of host and client processes. These issues can be specific to an application and need to be addressed to achieve effective data streaming. In this paper, we present an adaptive streaming framework allowing these issues to be addressed in a unified platform for specific applications. Samples of beneficiary applications are highlighted. © 2013 IEEE.
Source Title: 2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013
URI: http://scholarbank.nus.edu.sg/handle/10635/69230
ISBN: 9781467355582
DOI: 10.1109/ICMA.2013.6617919
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

1
checked on Jan 16, 2018

Page view(s)

21
checked on Jan 13, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.