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DoE-based performance optimization of energy management in sensor nodes powered by tunable energy-harvesters

Kazmierski, Tom J., Wang, Leran, Al-Hashimi, Bashir and Merrett, Geoff V. (2013) DoE-based performance optimization of energy management in sensor nodes powered by tunable energy-harvesters At Design, Automation and Test in Europe (DATE 13), France. 18 - 22 Mar 2013. , p. 484.

Record type: Conference or Workshop Item (Other)

Abstract

An energy-harvester-powered wireless sensor node is a complicated system with many design parameters. To investigate the various trade-offs among these parameters, it is desirable to explore the multi-dimensional design space quickly. However, due to the large number of parameters and costly simulation CPU times, it is often difficult or even impossible to explore the design space via simulation. A design of experiment (DoE) approach using the response surface model (RSM) technique can enable fast design space exploration of a complete wireless sensor node powered by a tunable energy harvester. As a proof of concept, a software toolkit has been developed which implements the DoE-based design flow and incorporates the energy harvester, tuning controller and wireless sensor node. Several test scenarios are considered, which illustrate how the proposed approach permits the designer to adjust a wide range of system parameters and evaluate the effect almost instantly but still with high accuracy.

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More information

Published date: March 2013
Venue - Dates: Design, Automation and Test in Europe (DATE 13), France, 2013-03-18 - 2013-03-22
Keywords: energy harvesters, design of experiment, wireless sensor nodes
Organisations: Electronic & Software Systems, EEE

Identifiers

Local EPrints ID: 353010
URI: http://eprints.soton.ac.uk/id/eprint/353010
ISBN: 978-3-9815370-0-0
PURE UUID: dd9ff7a1-adf9-4d8a-baa6-ce0d7987d6cb
ORCID for Geoff V. Merrett: ORCID iD orcid.org/0000-0003-4980-3894

Catalogue record

Date deposited: 03 Jun 2013 11:11
Last modified: 30 Sep 2017 02:55

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Contributors

Author: Tom J. Kazmierski
Author: Leran Wang
Author: Geoff V. Merrett ORCID iD

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