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
6 November 2014
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.
2nd International Workshop on Energy Neutral Sensing Systems (ENSsys 2014), Memphis, United States.
06 Nov 2014.
.
(doi:10.1145/2675683.2675688).
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.
Text
jiang.pdf
- Version of Record
More information
Published date: 6 November 2014
Venue - Dates:
2nd International Workshop on Energy Neutral Sensing Systems (ENSsys 2014), Memphis, United States, 2014-11-06 - 2014-11-06
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
Catalogue record
Date deposited: 30 Oct 2014 12:20
Last modified: 15 Mar 2024 03:23
Export record
Altmetrics
Contributors
Author:
Teng Jiang
Author:
Geoff V. Merrett
Author:
N.R. Harris
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics