Wireless sensor resource usage optimisation using embedded state predictors

Lowe, D; Murray, S; Kong, X

Wireless sensor resource usage optimisation using embedded state predictors

Lowe, D Murray, S Kong, X

Permalink

Publication Type:: Chapter
Citation:: 2011, 130 CCIS pp. 320 - 331
Issue Date:: 2011-12-01

Closed Access

	Filename	Description	Size
	2009006138OK.pdf		429.29 kB	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	Lowe, D	en_US
dc.contributor.author	Murray, S	en_US
dc.contributor.author	Kong, X https://orcid.org/0000-0001-7855-858X	en_US
dc.date.issued	2011-12-01	en_US
dc.identifier.citation	2011, 130 CCIS pp. 320 - 331	en_US
dc.identifier.isbn	9783642200762	en_US
dc.identifier.uri	http://hdl.handle.net/10453/17760
dc.description.abstract	The increasing prevalence and sophistication of wireless sensors is creating an opportunity for improving, or in many cases enabling, the real-time monitoring and control of distributed physical systems. However, whilst a major issue in the use of these sensors is their resource utilisation, there has only been limited consideration given to the interplay between the data sampling requirements of the control and monitoring systems and the design characteristics of the wireless sensors. In this paper we describe an approach to the optimization of the resources utilized by these devices based on the use of synchronized state predictors. By embedding state predictors into the sensors themselves it becomes possible for the sensors to predict their optimal sampling rate consistent with maintaining monitoring or control performance, and hence minimize the utilization of limited sensor resources such as power and bandwidth. © 2011 Springer-Verlag Berlin Heidelberg.	en_US
dc.relation.isbasedon	10.1007/978-3-642-20077-9_23	en_US
dc.title	Wireless sensor resource usage optimisation using embedded state predictors	en_US
dc.type	Chapter
utslib.citation.volume	130 CCIS	en_US
utslib.for	0805 Distributed Computing	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
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	130 CCIS	en_US

Abstract:

The increasing prevalence and sophistication of wireless sensors is creating an opportunity for improving, or in many cases enabling, the real-time monitoring and control of distributed physical systems. However, whilst a major issue in the use of these sensors is their resource utilisation, there has only been limited consideration given to the interplay between the data sampling requirements of the control and monitoring systems and the design characteristics of the wireless sensors. In this paper we describe an approach to the optimization of the resources utilized by these devices based on the use of synchronized state predictors. By embedding state predictors into the sensors themselves it becomes possible for the sensors to predict their optimal sampling rate consistent with maintaining monitoring or control performance, and hence minimize the utilization of limited sensor resources such as power and bandwidth. © 2011 Springer-Verlag Berlin Heidelberg.

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

http://hdl.handle.net/10453/17760