A congestion control framework for handling video surveillance traffics on WSN

Maimour, M; Pham, C; Hoang, D

A congestion control framework for handling video surveillance traffics on WSN

Maimour, M Pham, C Hoang, D

Permalink

Publication Type:: Conference Proceeding
Citation:: Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009, 2009, 2 pp. 943 - 948
Issue Date:: 2009-12-04

Closed Access

	Filename	Description	Size
	2009001958OK.pdf		1.08 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Maimour, M	en_US
dc.contributor.author	Pham, C	en_US
dc.contributor.author	Hoang, D https://orcid.org/0000-0003-1798-4926	en_US
dc.date.issued	2009-12-04	en_US
dc.identifier.citation	Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009, 2009, 2 pp. 943 - 948	en_US
dc.identifier.isbn	9780769538235	en_US
dc.identifier.uri	http://hdl.handle.net/10453/12022
dc.description.abstract	This paper focuses on congestion control but while previous works considered scalar sensor nodes which only report events in the size of a few bytes, we are addressing congestion control for information-intensive flows such as video flows for surveillance applications in pervasive wireless multimedia sensor networks. The proposed framework that we describe in this paper tries to put several mechanisms together in order to efficiently handle information-intensive flows in a WSN. This work addresses congestion control with a multi-path routing facility. Next, an efficient congestion detection is proposed as the radio medium is most likely to introduce packet losses due to contention on the radio channel, and not only because of buffer overflow. Then a light-weight load repartition mechanism sits on top in order to take advantages to the path diversity, keeping as long as possible the sending rate constant thus keeping the video quality as high as possible. Simulations are performed in order to get insights into the performances of our proposals. © 2009 IEEE.	en_US
dc.relation.ispartof	Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009	en_US
dc.relation.isbasedon	10.1109/CSE.2009.200	en_US
dc.title	A congestion control framework for handling video surveillance traffics on WSN	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2	en_US
utslib.for	0806 Information Systems	en_US
dc.location.activity	Vancouver, Canada	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	2	en_US

Abstract:

This paper focuses on congestion control but while previous works considered scalar sensor nodes which only report events in the size of a few bytes, we are addressing congestion control for information-intensive flows such as video flows for surveillance applications in pervasive wireless multimedia sensor networks. The proposed framework that we describe in this paper tries to put several mechanisms together in order to efficiently handle information-intensive flows in a WSN. This work addresses congestion control with a multi-path routing facility. Next, an efficient congestion detection is proposed as the radio medium is most likely to introduce packet losses due to contention on the radio channel, and not only because of buffer overflow. Then a light-weight load repartition mechanism sits on top in order to take advantages to the path diversity, keeping as long as possible the sending rate constant thus keeping the video quality as high as possible. Simulations are performed in order to get insights into the performances of our proposals. © 2009 IEEE.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/12022