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Enabling opportunistic energy trading between overlapping energy harvesting wireless sensor networks

Enabling opportunistic energy trading between overlapping energy harvesting wireless sensor networks
Enabling opportunistic energy trading between overlapping energy harvesting wireless sensor networks
Energy harvesting offers wireless sensor networks the possibility of indefinite operation. Their energy sources are typically uncontrollable and exhibit significant temporalspatial variation. Traditional approaches to managing their operation have been designed to adapt to these variances, but are inherently limited to only managing resources within the physical boundary of the network. Opportunistic Energy Trading (OET) was proposed to allow co-located WSNs to trade energy resources with each other, permitting energy management across network boundaries. In this paper, we extend this prior work by removing a number of simplifying assumptions. We consider the effect of varying degrees of overlap between neighbouring networks, mechanisms for monitoring and recording trades, and the modifications needed at higher layers of the protocol stack. To demonstrate our approach, we evaluate a case study where, during night, a solar-powered network ‘buys’ energy from a neighbouring battery-powered network to sustain operation.
978-1-4503-3189-0
25-30
Jiang, Teng
fbe25e8c-c212-4d45-868c-79952e34c7c2
Merrett, Geoff V.
89b3a696-41de-44c3-89aa-b0aa29f54020
Harris, N.R.
237cfdbd-86e4-4025-869c-c85136f14dfd
Jiang, Teng
fbe25e8c-c212-4d45-868c-79952e34c7c2
Merrett, Geoff V.
89b3a696-41de-44c3-89aa-b0aa29f54020
Harris, N.R.
237cfdbd-86e4-4025-869c-c85136f14dfd

Jiang, Teng, Merrett, Geoff V. and Harris, N.R. (2014) Enabling opportunistic energy trading between overlapping energy harvesting wireless sensor networks At 2nd International Workshop on Energy Neutral Sensing Systems (ENSsys 2014), United States. 06 Nov 2014. , pp. 25-30.

Record type: Conference or Workshop Item (Paper)

Abstract

Energy harvesting offers wireless sensor networks the possibility of indefinite operation. Their energy sources are typically uncontrollable and exhibit significant temporalspatial variation. Traditional approaches to managing their operation have been designed to adapt to these variances, but are inherently limited to only managing resources within the physical boundary of the network. Opportunistic Energy Trading (OET) was proposed to allow co-located WSNs to trade energy resources with each other, permitting energy management across network boundaries. In this paper, we extend this prior work by removing a number of simplifying assumptions. We consider the effect of varying degrees of overlap between neighbouring networks, mechanisms for monitoring and recording trades, and the modifications needed at higher layers of the protocol stack. To demonstrate our approach, we evaluate a case study where, during night, a solar-powered network ‘buys’ energy from a neighbouring battery-powered network to sustain operation.

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More information

Published date: 6 November 2014
Venue - Dates: 2nd International Workshop on Energy Neutral Sensing Systems (ENSsys 2014), United States, 2014-11-06 - 2014-11-06
Related URLs:
Organisations: Electronics & Computer Science, Electronic & Software Systems, EEE

Identifiers

Local EPrints ID: 370410
URI: http://eprints.soton.ac.uk/id/eprint/370410
ISBN: 978-1-4503-3189-0
PURE UUID: d8234968-5296-4292-bff2-b81306991616
ORCID for Geoff V. Merrett: ORCID iD orcid.org/0000-0003-4980-3894
ORCID for N.R. Harris: ORCID iD orcid.org/0000-0003-4122-2219

Catalogue record

Date deposited: 30 Oct 2014 12:20
Last modified: 10 Nov 2017 06:30

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Contributors

Author: Teng Jiang
Author: Geoff V. Merrett ORCID iD
Author: N.R. Harris ORCID iD

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