StreetlightSim: a simulation environment to evaluate networked and adaptive street lighting
StreetlightSim: a simulation environment to evaluate networked and adaptive street lighting
Sustaining the operation of street lights incurs substantial financial and environmental cost. Consequently, adaptive lighting systems have been proposed incorporating ad-hoc networking, sensing, and data processing, in order to better manage the street lights and their energy demands. Evaluating the efficiency and effectiveness of these complex systems requires the modelling of vehicles, road networks, algorithms, and communication systems, yet tools are not available to permit this. This paper proposes StreetlightSim, a novel simulation environment combining OMNeT++ and SUMO tools to model both traffic patterns and adaptive networked street lights. StreetlightSim’s models are illustrated through the simulation of a simple example, and a more complex scenario is used to show the potential of the tool and the obtainable results. StreetlightSim has been made open-source, and hence is available to the community.
simulation, adaptive street lighting, smart cities
Lau, Sei Ping
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Merrett, Geoff V.
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Weddell, Alex S.
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White, Neil M.
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Lau, Sei Ping
7f257719-b0b1-4666-8fc8-6c442f4dfc40
Merrett, Geoff V.
89b3a696-41de-44c3-89aa-b0aa29f54020
Weddell, Alex S.
3d8c4d63-19b1-4072-a779-84d487fd6f03
White, Neil M.
c7be4c26-e419-4e5c-9420-09fc02e2ac9c
Lau, Sei Ping, Merrett, Geoff V., Weddell, Alex S. and White, Neil M.
(2014)
StreetlightSim: a simulation environment to evaluate networked and adaptive street lighting.
IEEE Asia Pacific Conference on Wireless and Mobile Technologies 2014, Bali, Indonesia.
28 - 30 Aug 2014.
6 pp
.
(Submitted)
Record type:
Conference or Workshop Item
(Paper)
Abstract
Sustaining the operation of street lights incurs substantial financial and environmental cost. Consequently, adaptive lighting systems have been proposed incorporating ad-hoc networking, sensing, and data processing, in order to better manage the street lights and their energy demands. Evaluating the efficiency and effectiveness of these complex systems requires the modelling of vehicles, road networks, algorithms, and communication systems, yet tools are not available to permit this. This paper proposes StreetlightSim, a novel simulation environment combining OMNeT++ and SUMO tools to model both traffic patterns and adaptive networked street lights. StreetlightSim’s models are illustrated through the simulation of a simple example, and a more complex scenario is used to show the potential of the tool and the obtainable results. StreetlightSim has been made open-source, and hence is available to the community.
Text
PID3320945.pdf
- Author's Original
More information
Submitted date: May 2014
Venue - Dates:
IEEE Asia Pacific Conference on Wireless and Mobile Technologies 2014, Bali, Indonesia, 2014-08-28 - 2014-08-30
Keywords:
simulation, adaptive street lighting, smart cities
Organisations:
Electronic & Software Systems
Identifiers
Local EPrints ID: 365646
URI: http://eprints.soton.ac.uk/id/eprint/365646
PURE UUID: c1ab1b46-ecfc-4431-b048-4d01aa22f735
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Date deposited: 11 Jun 2014 15:14
Last modified: 15 Mar 2024 03:25
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