Decentralised control of intelligent devices: a healthcare facility study
Decentralised control of intelligent devices: a healthcare facility study
We present a novel approach to the management of notifications from devices in a healthcare setting. We employ a distributed constraint optimisation (DCOP) approach to the delivery of notification for healthcare assistants that aims to preserve the privacy of patients while reducing the intrusiveness of such notifications. Our approach reduces the workload of the assistants and improves patient safety by automating task allocation while ensuring high priority needs are addressed in a timely manner. We propose and evaluate several DCOP models both in simulation and in real-world deployments. Our models are shown to be efficient both in terms of computation and communication costs.
DCOP, DPOP, Healthcare, IoT
20-36
Lhopital, Sacha
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Aknine, Samir
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Ramchurn, Sarvapali
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Thavonekham, Vincent
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Vu, Huan
e2598b81-10ad-413a-b443-ed28bc9bae90
5 January 2021
Lhopital, Sacha
bd003539-ecfc-4504-8754-ce9eff9127db
Aknine, Samir
b08d5ab0-f24a-4336-a80b-e350ca0a9a3f
Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3
Thavonekham, Vincent
6117fc78-7ee2-432e-badf-9555ac43504a
Vu, Huan
e2598b81-10ad-413a-b443-ed28bc9bae90
Lhopital, Sacha, Aknine, Samir, Ramchurn, Sarvapali, Thavonekham, Vincent and Vu, Huan
(2021)
Decentralised control of intelligent devices: a healthcare facility study.
Bassiliades, Nick, Chalkiadakis, Georgios and de Jonge, Dave
(eds.)
In Multi-Agent Systems and Agreement Technologies - 17th European Conference, EUMAS 2020, and 7th International Conference, AT 2020, Revised Selected Papers.
vol. 12520 LNAI,
Springer.
.
(doi:10.1007/978-3-030-66412-1_2).
Record type:
Conference or Workshop Item
(Paper)
Abstract
We present a novel approach to the management of notifications from devices in a healthcare setting. We employ a distributed constraint optimisation (DCOP) approach to the delivery of notification for healthcare assistants that aims to preserve the privacy of patients while reducing the intrusiveness of such notifications. Our approach reduces the workload of the assistants and improves patient safety by automating task allocation while ensuring high priority needs are addressed in a timely manner. We propose and evaluate several DCOP models both in simulation and in real-world deployments. Our models are shown to be efficient both in terms of computation and communication costs.
Text
Decentralised Control of Intelligent Devices: A Healthcare Facility Study
- Accepted Manuscript
More information
Accepted/In Press date: 5 May 2020
e-pub ahead of print date: 5 January 2021
Published date: 5 January 2021
Keywords:
DCOP, DPOP, Healthcare, IoT
Identifiers
Local EPrints ID: 447983
URI: http://eprints.soton.ac.uk/id/eprint/447983
ISSN: 0302-9743
PURE UUID: 340d3516-b6cb-4d94-b6c1-faa0a407edaa
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Date deposited: 29 Mar 2021 16:37
Last modified: 06 Jun 2024 01:43
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Contributors
Author:
Sacha Lhopital
Author:
Samir Aknine
Author:
Sarvapali Ramchurn
Author:
Vincent Thavonekham
Author:
Huan Vu
Editor:
Nick Bassiliades
Editor:
Georgios Chalkiadakis
Editor:
Dave de Jonge
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