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Design, Deployment and Evolution of Heterogeneous Smart Public Lighting Systems
Open accessAbstract
Street lighting characterizes many smart city initiatives around the world. In fact, significant savings can be achieved by not only replacing traditional luminaires with low-power LEDs, but also providing streetlights with smart light controllers and network connectivity, allowing the introduction of a sensible light intensity management and reduction of maintenance costs. Moreover, if designed with a far-looking view, smart lighting infrastructure could also support city-wide Internet of Things services, becoming key enablers of the smart city revolution, also in the 5G perspective. In this paper, we provide a thorough discussion on network architectures and communication technologies that could be adopted for smart public lighting applications, showing their benefits and downsides. Starting with significant activity on research, implementation and in-field testing, we also outline the steps required for the deployment of a smart public lighting infrastructure, each discussed in accordance with the network topology considered. Finally, we introduce some additional services that a smart public lighting infrastructure could support and discuss the benefits that would arise from integration with the upcoming 5G cellular network.
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“Pasolini et al. [83] state that because a large number of people live in cities, urban development must be sustainable.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as Pasolini et al. [83]
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Smart lighting: Intelligent and weather adaptive lighting in street lights using IOT
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Cited by
Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey
Putrada, A. G., Abdurohman, M., Perdana, D., & Nuha, H. H. (2022) · IEEE Access · doi:10.1109/access.2022.3169765 · Cited by 101
“Pasolini et al. [83] state that because a large number of people live in cities, urban development must be sustainable.”
Background
Metadata
- Authors
- Pasolini, G., Toppan, P., Zabini, F., De Castro, C., & Andrisano, O.
- Affiliations
- University of Bologna (IT)
- Wi4B s.r.l., Via degli Orefici, 2, 40124 Bologna, Italy
- IEIIT-CNR, National Research Council, Viale Risorgimento 2, 40136 Bologna, Italy
- Corresponding author
- Pasolini, Gianni
- Venue
- Applied Sciences
- Publisher
- MDPI AG
- Published
- 2019-08-10
- Volume
- 9
- Issue
- 16
- Pages
- 3281
- ISSN
- 2076-3417 (ISSN-L)
- OpenAlex
- W2968196901
- Cited by
- 63
- References
- 1
- Citations by year
- 2025: 5 · 2024: 11 · 2023: 17 · 2022: 9 · 2021: 9 · 2020: 9 · 2019: 3
- FWCI
- 5.03
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Applied Sciences (publishedVersion, cc-by)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Social Sciences › Urban Studies › Smart Cities and Technologies
- Physical Sciences › Engineering › Control and Systems Engineering › Wireless Sensor Networks and IoT
- Physical Sciences › Environmental Science › Global and Planetary Change › Impact of Light on Environment and Health
- Keywords
- smart street lighting, public lighting systems, smart cities, Internet of Things, network architecture, communication technology, network topology, LED luminaires, 5G integration
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