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An Empirical Energy Model for Supercapacitor Powered Wireless Sensor Nodes

An Empirical Energy Model for Supercapacitor Powered Wireless Sensor Nodes
An Empirical Energy Model for Supercapacitor Powered Wireless Sensor Nodes
The modeling of energy components in Wireless Sensor Network (WSN) simulation is important for obtaining realistic lifetime predictions and ensuring the faithful operation of energy-aware algorithms. The use of supercapacitors as energy stores on WSN nodes is increasing, but their behavior differs from that of batteries. This paper proposes a model for a supercapacitor energy store based upon experimental results, and compares obtained simulation results to those using an ‘ideal’ energy store model. The proposed model also considers the variety and behavior of energy consumers, and finds that contrary to many existing models, the energy consumed depends on the store voltage (which varies considerably during supercapacitor discharge). Furthermore, energy models in a node’s embedded firmware are shown to be paramount for providing energy-aware operation.
wireless sensor networks, supercapacitors, network simulation, energy storage devices, energy consumption
Merrett, Geoff V.
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Weddell, Alexander S.
3d8c4d63-19b1-4072-a779-84d487fd6f03
Lewis, Adam P.
4c3eefcd-e5c3-46be-9004-91fd706ec385
Harris, Nick R.
237cfdbd-86e4-4025-869c-c85136f14dfd
Al-Hashimi, Bashir M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
White, Neil M.
c7be4c26-e419-4e5c-9420-09fc02e2ac9c
Merrett, Geoff V.
89b3a696-41de-44c3-89aa-b0aa29f54020
Weddell, Alexander S.
3d8c4d63-19b1-4072-a779-84d487fd6f03
Lewis, Adam P.
4c3eefcd-e5c3-46be-9004-91fd706ec385
Harris, Nick R.
237cfdbd-86e4-4025-869c-c85136f14dfd
Al-Hashimi, Bashir M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
White, Neil M.
c7be4c26-e419-4e5c-9420-09fc02e2ac9c

Merrett, Geoff V., Weddell, Alexander S., Lewis, Adam P., Harris, Nick R., Al-Hashimi, Bashir M. and White, Neil M. (2008) An Empirical Energy Model for Supercapacitor Powered Wireless Sensor Nodes. 17th International IEEE Conference on Computer Communications and Networks, St Thomas, Virgin Islands (), United States. 03 - 07 Aug 2008.

Record type: Conference or Workshop Item (Paper)

Abstract

The modeling of energy components in Wireless Sensor Network (WSN) simulation is important for obtaining realistic lifetime predictions and ensuring the faithful operation of energy-aware algorithms. The use of supercapacitors as energy stores on WSN nodes is increasing, but their behavior differs from that of batteries. This paper proposes a model for a supercapacitor energy store based upon experimental results, and compares obtained simulation results to those using an ‘ideal’ energy store model. The proposed model also considers the variety and behavior of energy consumers, and finds that contrary to many existing models, the energy consumed depends on the store voltage (which varies considerably during supercapacitor discharge). Furthermore, energy models in a node’s embedded firmware are shown to be paramount for providing energy-aware operation.

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Published date: 3 August 2008
Additional Information: Event Dates: 03-07 August 2008
Venue - Dates: 17th International IEEE Conference on Computer Communications and Networks, St Thomas, Virgin Islands (), United States, 2008-08-03 - 2008-08-07
Keywords: wireless sensor networks, supercapacitors, network simulation, energy storage devices, energy consumption
Organisations: Electronic & Software Systems, EEE

Identifiers

Local EPrints ID: 265751
URI: http://eprints.soton.ac.uk/id/eprint/265751
PURE UUID: f654a1c2-c5f0-4ec2-af72-6d30d1ca1e56
ORCID for Geoff V. Merrett: ORCID iD orcid.org/0000-0003-4980-3894
ORCID for Alexander S. Weddell: ORCID iD orcid.org/0000-0002-6763-5460
ORCID for Nick R. Harris: ORCID iD orcid.org/0000-0003-4122-2219
ORCID for Neil M. White: ORCID iD orcid.org/0000-0003-1532-6452

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Date deposited: 17 May 2008 17:32
Last modified: 07 Dec 2024 02:41

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Contributors

Author: Geoff V. Merrett ORCID iD
Author: Alexander S. Weddell ORCID iD
Author: Adam P. Lewis
Author: Nick R. Harris ORCID iD
Author: Bashir M. Al-Hashimi
Author: Neil M. White ORCID iD

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