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Probabilistic sensor network design

Abstract:

Sensor networks are designed to detect events and their applicability is dependent on the likelihood of a correct detection. A network that can't detect events with a high enough probability becomes ineffective. Therefore, it can be very valuable to be able to establish which network design might yield he best detection rate. The endless possibilities in terms of sensor network designs make it difficult to apply a pure experimental method. Computational modelling using statistical techniques...

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Publisher copy:
10.1109/BSN.2016.7516234

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Wellcome Trust More from this funder
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
13th International Conference on Wearable and Implantable Body Sensor Networks (BSN2016) Journal website
Host title:
The 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN2016)
Publication date:
2016-07-21
Acceptance date:
2016-05-05
DOI:
Source identifiers:
623141
Pubs id:
pubs:623141
UUID:
uuid:62aa2a54-09cb-4b01-a4d1-0091357a9d25
Local pid:
pubs:623141
Deposit date:
2016-05-20

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