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Modeling of Wireless Sensor Nodes Powered by Tunable Energy Harvesters: HDL-Based Approach

Record type: Article

This paper presents a hardware description language (HDL) approach to modeling a complete wireless sensor node system powered by a tunable vibration energy harvester including both energy generation and consumption. Tunable energy harvesters, which can adjust their own resonant frequency through mechanical or electrical methods to match the input frequency, are attracting significant research interest. We present an accurate model of a vibration-based tunable electromagnetic energy harvester including its frequency tuning algorithm. We have also developed energy consumption models of sensor node components that use the generated energy to perform different tasks, such as autonomously tuning the resonant frequency, sensing temperature and transmitting wirelessly. The modeling of a wireless sensor node powered by tunable energy harvesting has not previously been reported, and now permits the simulation of the entire node. The accuracy of the proposed approach is demonstrated by comparing simulation results with experimental validation where relative errors of less than 1% are achieved.

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Citation

Kazmierski, Tom, Merrett, Geoff V., Wang, Leran, Al-Hashimi, Bashir, Weddell, Alex and Ayala Garcia, Ivo (2012) Modeling of Wireless Sensor Nodes Powered by Tunable Energy Harvesters: HDL-Based Approach IEEE Sensors Journal, 12, (8), pp. 2680-2689. (doi:10.1109/JSEN.2012.2196037).

More information

Published date: August 2012
Additional Information: (c) 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Organisations: Electronic & Software Systems, EEE

Identifiers

Local EPrints ID: 337430
URI: http://eprints.soton.ac.uk/id/eprint/337430
ISSN: 1530-437X
PURE UUID: 4c582e42-ace5-4341-bb33-7dfe0d8981db
ORCID for Geoff V. Merrett: ORCID iD orcid.org/0000-0003-4980-3894
ORCID for Alex Weddell: ORCID iD orcid.org/0000-0002-6763-5460

Catalogue record

Date deposited: 25 Apr 2012 10:49
Last modified: 18 Jul 2017 06:03

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Contributors

Author: Tom Kazmierski
Author: Geoff V. Merrett ORCID iD
Author: Leran Wang
Author: Alex Weddell ORCID iD
Author: Ivo Ayala Garcia

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