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Fast design space exploration of vibration-based energy harvesting wireless sensors

Fast design space exploration of vibration-based energy harvesting wireless sensors
Fast design space exploration of vibration-based energy harvesting wireless sensors
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. This paper presents a response surface model (RSM) based technique for 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 proposed design flow and incorporates either real data or parametrized models of the vibration source, 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. In the developed toolkit, the estimated CPU time of one RSM estimation is 25s and the average RSM estimation error is less than 16.5%
1530-437X
4393-4401
Kazmierski, Tom
a97d7958-40c3-413f-924d-84545216092a
Wang, Leran
91d2f4ca-ed47-4e47-adff-70fef3874564
Merrett, Geoff V.
89b3a696-41de-44c3-89aa-b0aa29f54020
Al-Hashimi, Bashir
0b29c671-a6d2-459c-af68-c4614dce3b5d
Aloufi, Mansour
edb8de4f-56ce-4fd2-839c-e9751777507e
Kazmierski, Tom
a97d7958-40c3-413f-924d-84545216092a
Wang, Leran
91d2f4ca-ed47-4e47-adff-70fef3874564
Merrett, Geoff V.
89b3a696-41de-44c3-89aa-b0aa29f54020
Al-Hashimi, Bashir
0b29c671-a6d2-459c-af68-c4614dce3b5d
Aloufi, Mansour
edb8de4f-56ce-4fd2-839c-e9751777507e

Kazmierski, Tom, Wang, Leran, Merrett, Geoff V., Al-Hashimi, Bashir and Aloufi, Mansour (2013) Fast design space exploration of vibration-based energy harvesting wireless sensors IEEE Sensors Journal, 13, (11), pp. 4393-4401. (doi:10.1109/JSEN.2013.2263792).

Record type: Article

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. This paper presents a response surface model (RSM) based technique for 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 proposed design flow and incorporates either real data or parametrized models of the vibration source, 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. In the developed toolkit, the estimated CPU time of one RSM estimation is 25s and the average RSM estimation error is less than 16.5%

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e-pub ahead of print date: 17 May 2013
Published date: November 2013
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 352345
URI: http://eprints.soton.ac.uk/id/eprint/352345
ISSN: 1530-437X
PURE UUID: 30932ae8-381b-4975-b44d-ada38fb9fdd2
ORCID for Geoff V. Merrett: ORCID iD orcid.org/0000-0003-4980-3894

Catalogue record

Date deposited: 09 May 2013 15:46
Last modified: 18 Jul 2017 04:15

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Contributors

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

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