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. (doi:10.7873/DATE.2013.110).

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Description/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.

Item Type: Conference or Workshop Item (Other)
Digital Object Identifier (DOI): doi:10.7873/DATE.2013.110
Venue - Dates: Design, Automation and Test in Europe (DATE 13), France, 2013-03-18 - 2013-03-22
Related URLs:
Keywords: energy harvesters, design of experiment, wireless sensor nodes
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Organisations: Electronic & Software Systems, EEE
ePrint ID: 353010
Date :
Date Event
March 2013Published
Date Deposited: 03 Jun 2013 11:11
Last Modified: 23 Feb 2017 03:37
Projects:
Next Generation Energy-Harvesting Electronics - holistic approach 1763
Funded by: EPSRC (EP/G067740/1)
Led by: Bashir M. Al-Hashimi
1 October 2009 to 31 March 2013
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/353010

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