From physical models to well-founded control

Simon Dobson; Lorcan Coyle; G. M. P. O'Hare; Mike Hinchey

doi:10.1109/EASe.2009.9

From physical models to well-founded control

Simon Dobson, Lorcan Coyle, G. M. P. O'Hare, Mike Hinchey

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

1 Downloads (Pure)

Abstract

Mobile sensors are an attractive proposition forenvironmental sensing, but pose significant engineering problems. Not leastamongst these is the need to match the behaviour of the sensor platform to thephysical environment in which it operates. We present initial work on using modelsof physical processes to generate models for autonomic control, and speculatethat these can be used to improve the confidence we can place in sensed data.

Original language	English
Title of host publication	Proceedings of the Sixth IEEE International Conference and Workshop on the Engineering of Autonomic and Autonomous Systems
Subtitle of host publication	EASe 2009
Place of Publication	Los Alamitos
Publisher	IEEE Computer Society
Pages	119-124
Number of pages	6
ISBN (Print)	978-0-7695-3623-1
DOIs	https://doi.org/10.1109/EASe.2009.9
Publication status	Published - Apr 2009

Keywords

Wireless sensor networks
Mobile radio
Autonomic control
Environmental sensing
Mobile sensors

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10.1109/EASe.2009.9

Open access version of the conference paper
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Cite this

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From physical models to well-founded control. / Dobson, Simon; Coyle, Lorcan; O'Hare, G. M. P. et al.
Proceedings of the Sixth IEEE International Conference and Workshop on the Engineering of Autonomic and Autonomous Systems: EASe 2009. Los Alamitos: IEEE Computer Society, 2009. p. 119-124.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - From physical models to well-founded control

AU - Dobson, Simon

AU - Coyle, Lorcan

AU - O'Hare, G. M. P.

AU - Hinchey, Mike

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KW - Mobile radio

KW - Autonomic control

KW - Environmental sensing

KW - Mobile sensors

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DO - 10.1109/EASe.2009.9

M3 - Conference contribution

SN - 978-0-7695-3623-1

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EP - 124

BT - Proceedings of the Sixth IEEE International Conference and Workshop on the Engineering of Autonomic and Autonomous Systems

PB - IEEE Computer Society

CY - Los Alamitos

ER -

From physical models to well-founded control

Abstract

Keywords

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