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http://hdl.handle.net/10023/1130
| Title: | From physical models to well-founded control |
| Authors: | Dobson, Simon Coyle, Lorcan O'Hare, G. M. P. Hinchey, Mike |
| Keywords: | Wireless sensor networks Mobile radio Autonomic control Environmental sensing Mobile sensors QA76 Computer software |
| Issue Date: | Apr-2009 |
| Citation: | Dobson , S , Coyle , L , O'Hare , G M P & Hinchey , M 2009 , ' From physical models to well-founded control ' . in : Proceedings of the Sixth IEEE International Conference and Workshop on the Engineering of Autonomic and Autonomous Systems : EASe 2009 . IEEE Computer Society , Los Alamitos , pp. 119-124 . |
| 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. |
| Version: | Publisher PDF |
| URI: | http://hdl.handle.net/10023/1130 |
| DOI: | http://dx.doi.org/10.1109/EASe.2009.9 |
| ISBN: | 978-0-7695-3623-1 |
| Type: | Conference item |
| Rights: | (c)2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| Publisher: | IEEE Computer Society |
| Appears in Collections: | University of St Andrews Research Computer Science Research
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