Wireless Sensor Network Optimisation Through Control-Theoretic Adaptation of Sample Rates

Lowe, DB; Murray, SJ

Wireless Sensor Network Optimisation Through Control-Theoretic Adaptation of Sample Rates

Lowe, DB Murray, SJ

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Publisher:: ISCA: International Society for Computers and Their Applications
Publication Type:: Conference Proceeding
Citation:: Proceedings of the ISCA First International Conference on Sensor Network and Applicatons, 2009, pp. 73 - 78
Issue Date:: 2009-01

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Field	Value	Language
dc.contributor.author	Lowe, DB	en_US
dc.contributor.author	Murray, SJ	en_US
dc.contributor.editor	Lee, GK	en_US
dc.date	2009-11-04	en_US
dc.date.issued	2009-01	en_US
dc.identifier.citation	Proceedings of the ISCA First International Conference on Sensor Network and Applicatons, 2009, pp. 73 - 78	en_US
dc.identifier.isbn	978-1-880843-74-1	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11181
dc.description.abstract	There is growing interest in the use of wireless sensor data to control physical systems. Given the operational constraints (especially related to the power usage) that wireless sensors operate under, there has been considerable attention given to approaches for optimising these networks. This has considered the relationship between network behaviours and control system performance (particularly stability), as well as ways in which the network traffic can be reduced. Suprisingly however, there has been very limited consideration of dynamically reducing the underlying data generation (i.e. sampling) rates, based on what data is needed for the control system to perform adequately. In this paper we argue that this approach can potentially minimise the sensor energy usage assocated with sampling. We describe the basic approach and present the results of a preliminary case study that demonstrates the feasibility of the technique.	en_US
dc.publisher	ISCA: International Society for Computers and Their Applications	en_US
dc.relation.ispartof	Proceedings of the ISCA First International Conference on Sensor Network and Applicatons	en_US
dc.relation.ispartof	International Conference on Sensor Network and Applicatons	en_US
dc.title	Wireless Sensor Network Optimisation Through Control-Theoretic Adaptation of Sample Rates	en_US
dc.type	Conference Proceeding
utslib.location	Cary, USA	en_US
utslib.location.activity	San Francisco, USA	en_US
utslib.for	100510 Wireless Communications	en_US
dc.location.activity	San Francisco, USA	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.consider-herdc	true	en_US
pubs.place-of-publication	Cary, USA	en_US
pubs.start-date	2009-11-04	en_US

Abstract:

There is growing interest in the use of wireless sensor data to control physical systems. Given the operational constraints (especially related to the power usage) that wireless sensors operate under, there has been considerable attention given to approaches for optimising these networks. This has considered the relationship between network behaviours and control system performance (particularly stability), as well as ways in which the network traffic can be reduced. Suprisingly however, there has been very limited consideration of dynamically reducing the underlying data generation (i.e. sampling) rates, based on what data is needed for the control system to perform adequately. In this paper we argue that this approach can potentially minimise the sensor energy usage assocated with sampling. We describe the basic approach and present the results of a preliminary case study that demonstrates the feasibility of the technique.

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http://hdl.handle.net/10453/11181