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Approaches to Transient Computing for Energy Harvesting Systems - A Quantitative Evaluation

Approaches to Transient Computing for Energy Harvesting Systems - A Quantitative Evaluation
Approaches to Transient Computing for Energy Harvesting Systems - A Quantitative Evaluation
Systems operating from harvested sources typically integrate batteries or supercapacitors to smooth out rapid changes in harvester output. However, such energy storage devices require time for charging and increase the size, mass and cost of the system. A recent approach to address this is to power systems directly from the harvester output, termed transient computing. To solve the problem of having to restart computation from the start due to power-cycles, a number of techniques have been proposed to deal with transient power sources. In this paper, we quantitatively evaluate three state-of-the-art approaches on a Texas Instruments MSP430 microcontroller characterizing the application scenarios where each performs best. Finally, recommendations are provided to system designers for selecting the most suitable approach.
checkpoint, hibernus, iot, mementos, quickrecall
3-8
Rodriguez Arreola, Alberto
e20f97e9-b616-47de-9f37-f4a445e0adac
Balsamo, Domenico
fa2dc20a-e3da-4d74-9070-9c61c6a471ba
Das, Anup
2a0d6cea-309b-4053-a62e-234807f89306
Weddell, Alex S.
3d8c4d63-19b1-4072-a779-84d487fd6f03
Brunelli, Davide
0919a9ce-d340-4d61-ac77-94078f4d5e89
Al-Hashimi, Bashir
0b29c671-a6d2-459c-af68-c4614dce3b5d
Merrett, Geoff
89b3a696-41de-44c3-89aa-b0aa29f54020
Rodriguez Arreola, Alberto
e20f97e9-b616-47de-9f37-f4a445e0adac
Balsamo, Domenico
fa2dc20a-e3da-4d74-9070-9c61c6a471ba
Das, Anup
2a0d6cea-309b-4053-a62e-234807f89306
Weddell, Alex S.
3d8c4d63-19b1-4072-a779-84d487fd6f03
Brunelli, Davide
0919a9ce-d340-4d61-ac77-94078f4d5e89
Al-Hashimi, Bashir
0b29c671-a6d2-459c-af68-c4614dce3b5d
Merrett, Geoff
89b3a696-41de-44c3-89aa-b0aa29f54020

Rodriguez Arreola, Alberto, Balsamo, Domenico, Das, Anup, Weddell, Alex S., Brunelli, Davide, Al-Hashimi, Bashir and Merrett, Geoff (2015) Approaches to Transient Computing for Energy Harvesting Systems - A Quantitative Evaluation At ENSsys '15 Proceedings of the 3rd International Workshop on Energy Harvesting Energy Neutral Sensing Systems, Korea, Republic of. 01 - 04 Nov 2015. , pp. 3-8.

Record type: Conference or Workshop Item (Paper)

Abstract

Systems operating from harvested sources typically integrate batteries or supercapacitors to smooth out rapid changes in harvester output. However, such energy storage devices require time for charging and increase the size, mass and cost of the system. A recent approach to address this is to power systems directly from the harvester output, termed transient computing. To solve the problem of having to restart computation from the start due to power-cycles, a number of techniques have been proposed to deal with transient power sources. In this paper, we quantitatively evaluate three state-of-the-art approaches on a Texas Instruments MSP430 microcontroller characterizing the application scenarios where each performs best. Finally, recommendations are provided to system designers for selecting the most suitable approach.

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More information

Published date: 1 November 2015
Venue - Dates: ENSsys '15 Proceedings of the 3rd International Workshop on Energy Harvesting Energy Neutral Sensing Systems, Korea, Republic of, 2015-11-01 - 2015-11-04
Keywords: checkpoint, hibernus, iot, mementos, quickrecall
Organisations: EEE

Identifiers

Local EPrints ID: 391934
URI: http://eprints.soton.ac.uk/id/eprint/391934
PURE UUID: 0541c29e-5221-4cb0-aac0-f1fbf38f18f4
ORCID for Alex S. Weddell: ORCID iD orcid.org/0000-0002-6763-5460
ORCID for Geoff Merrett: ORCID iD orcid.org/0000-0003-4980-3894

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Date deposited: 20 Apr 2016 11:05
Last modified: 21 Oct 2017 16:51

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Contributors

Author: Alberto Rodriguez Arreola
Author: Domenico Balsamo
Author: Anup Das
Author: Alex S. Weddell ORCID iD
Author: Davide Brunelli
Author: Geoff Merrett ORCID iD

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