Smart City Gnosys

Smart city article details

Title Smart Streetlights In Smart City: A Case Study Of Sheffield
ID_Doc 51466
Authors Dizon E.; Pranggono B.
Year 2022
Published Journal of Ambient Intelligence and Humanized Computing, 13, 4
DOI http://dx.doi.org/10.1007/s12652-021-02970-y
Abstract Smart streetlights can be used to enhance public safety and well-being. However, not only it is one of the most draining structures in terms of electricity, but it is also economically straining to local government. Typically, many councils adopt a static or conventional approach to street lighting, this presents many inefficiencies as it does not take into account environmental factors such as light levels and traffic flows. This paper will present the utilities of a streetlights in Sheffield and how different councils tackle the issue by using different lighting schemes. Investigation of current implementations of information and communication technologies (ICT) such as Internet of Things (IoT) in streetlights will be necessary to understand different proposed models that are used in ‘smart’ street lighting infrastructure. Case studies from Doncaster and Edinburgh are explored as they are using similar technology and having a similar sized topology as Sheffield. To analyze different models, StreetlightSim, an open-source streetlight simulator, is used to present different lighting schemes. There will be four time-based schemes: Conventional, Dynadimmer, Chronosense and Part-Night which have varying capabilities that will be simulated to present a plethora of solutions for Sheffield’s street lighting problem. The results from the simulations showed mixed readings, the time-based schemes showed reliable data from StreetlightSim’s own evaluations, however its adaptive approach will need to be further analyzed to demonstrate its full capability. © 2021, The Author(s).
Author Keywords Internet of things; Smart city; Streetlight; Wireless sensor networks


Similar Articles


Id Similarity Authors Title Published
43506 View0.912Ngu R.; Shanmugam K.; Rana M.E.Proposed Design And Implementation Guidelines For Energy Efficient Smart Street Lighting: A Malaysian PerspectiveProceedings - International Conference on Developments in eSystems Engineering, DeSE, 2021-December (2021)
53196 View0.898Thornbush M.; Golubchikov O.Street Lighting As A Dimension Of Smart Energy CitiesSmart Cities, Energy and Climate: Governing Cities for a Low-Carbon Future (2024)
18512 View0.896Kabir M.H.; Al Noman A.; Al Afiq A.; Raju R.H.; Hasan M.N.; AhmadDesign And Implement Iot-Based Intelligent Manageable Smart Street Lighting Systems For Future Smart City †Engineering Proceedings, 56, 1 (2023)
982 View0.896Khemakhem S.; Krichen L.A Comprehensive Survey On An Iot-Based Smart Public Street Lighting System Application For Smart CitiesFranklin Open, 8 (2024)
15740 View0.895Chen P.; Chen X.; Kang J.Constructing An Intelligent Streetlight Control System Based On Edge-Cloud CollaborationProceedings - 2024 8th International Symposium on Computer Science and Intelligent Control, ISCSIC 2024 (2024)
6472 View0.892Gagliardi, G; Lupia, M; Cario, G; Tedesco, F; Cicchello Gaccio, F; Lo Scudo, F; Casavola, AAdvanced Adaptive Street Lighting Systems For Smart CitiesSMART CITIES, 3, 4 (2020)
18371 View0.889Srivastava A.; Roy A.; Singh A.Deployment Of Iot-Based Smart Street Lighting SystemLecture Notes in Networks and Systems, 961 LNNS (2024)
52953 View0.889Mahoor M.; Hosseini Z.S.; Khodaei A.; Paaso A.; Kushner D.State-Of-The-Art In Smart Streetlight Systems: A ReviewIET Smart Cities, 2, 1 (2020)
3144 View0.889Belloni E.; Buratti C.; Lunghi L.; Martirano L.A New Street Lighting Control Algorithm Based On Forecasted Traffic Data For Electricity Consumption ReductionLighting Research and Technology, 56, 5 (2024)
7690 View0.888Lillaney J.; Jain R.An Automated Smart Street Lighting Model Using Integrated Systems With Deep Learning And Cloud Deployment2023 World Conference on Communication and Computing, WCONF 2023 (2023)