Task scheduling to constrain peak current consumption in wearable healthcare sensors

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dc.contributor.author Simon Sherratt, Robert
dc.contributor.author Janko, Balazs
dc.contributor.author Hui, Terence
dc.contributor.author Harwin, William S.
dc.contributor.author Dey, Nilanjan
dc.contributor.author Díaz Sánchez, Daniel
dc.contributor.author Wang, Jin
dc.contributor.author Shi, Fuqian
dc.date.accessioned 2021-06-24T11:41:13Z
dc.date.available 2021-06-24T11:41:13Z
dc.date.issued 2019-07
dc.identifier.bibliographicCitation Sherratt, R. S., Janko, B., Hui, T., Harwin, W. S., Dey, N., Díaz-Sánchez, D., Wang, J., Shi, F. (2019). Task Scheduling to Constrain Peak Current Consumption in Wearable Healthcare Sensors. Electronics, 8(7), 789
dc.identifier.issn 2079-9292
dc.identifier.uri http://hdl.handle.net/10016/31421
dc.description.abstract Small embedded systems, in our case wearable healthcare devices, have significant engineering challenges to reduce their power consumption for longer battery life, while at the same time supporting ever-increasing processing requirements for more intelligent applications. Research has primarily focused on achieving lower power operation through hardware designs and intelligent methods of scheduling software tasks, all with the objective of minimizing the overall consumed electrical power. However, such an approach inevitably creates points in time where software tasks and peripherals coincide to draw large peaks of electrical current, creating short-term electrical stress for the battery and power regulators, and adding to electromagnetic interference emissions. This position paper proposes that the power profile of an embedded device using a real-time operating system (RTOS) will significantly benefit if the task scheduler is modified to be informed of the electrical current profile required for each task. This enables the task scheduler to schedule tasks that require large amounts of current to be spread over time, thus constraining the peak current that the system will draw. We propose a solution to inform the task scheduler of a tasks' power profile, and we discuss our application scenario, which clearly benefited from the proposal
dc.description.sponsorship This research was partially funded by the UK Engineering and Physical Sciences Research Council (EPSRC), grant number EP/K031910/1, and in part by the Royal Society and National Natural Science Foundation of China International Exchanges 2017 Cost Share (China), grant number IECnNSFCn170363.
dc.format Sherratt, R. S., Janko, B., Hui, T., Harwin, W. S., Dey, N., Díaz-Sánchez, D., Wang, J., Shi, F. (2019). Task Scheduling to Constrain Peak Current Consumption in Wearable Healthcare Sensors. Electronics, 8(7), 789
dc.language.iso eng
dc.publisher MDPI
dc.rights Reconocimiento 3.0 España
dc.rights © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
dc.rights.uri http://creativecommons.org/licenses/by/3.0/es/
dc.subject.other Embedded
dc.subject.other Healthcare
dc.subject.other Low-power
dc.subject.other Task scheduler
dc.subject.other Wearable
dc.title Task scheduling to constrain peak current consumption in wearable healthcare sensors
dc.type article
dc.type.review PeerReviewed
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.3390/electronics8070789
dc.rights.accessRights openAccess
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationissue 7(789)
dc.identifier.publicationlastpage 10
dc.identifier.publicationtitle Electronics
dc.identifier.publicationvolume 8
dc.identifier.uxxi AR/0000024970
dc.contributor.funder Engineering and Physical Sciences Research Council (EPSRC)
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