The DOI matches its Crossref record.
Smart lighting: Intelligent and weather adaptive lighting in street lights using IOT
Abstract
A smart road lighting framework conforms to light yield in the view of use and inhabitance, i.e., computerizing grouping of pedestrians, cyclist, cars and public transports. The smart road light administration proposes the establishment of the remote based framework to remotely track and control the genuine vitality utilization of the road lights and take suitable vitality utilization decrease measures through power molding and control. The road light controller ought to be introduced on the shaft lights which comprise of microcontroller alongside different sensor and remote module. The road light controller introduced into the city light shaft will control LED road lighting relying upon the movement stream, convey information between every road light.
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In [71], the lights dynamically switch on/off or dim depending on the surrounding environment to enable significant cost reduction.
“The lights will dynamically switch on/off or dim depending on the surrounding environment to enable significant cost reduction.”
From A Review of Machine Learning and IoT in Smart Transportation (2019) · cites this paper as [71]
In [71], each lamp post is a WiFi hotspot that enables transfer of collected information to a central web server.
“Finally, in [71] the authors propose a smart lighting system, where each lamp post will be a WiFi hotspot that will enable to transfer a different kind of collected information to a central web server.”
From A Review of Machine Learning and IoT in Smart Transportation (2019) · cites this paper as [71]
In [71], lamp posts are equipped with cameras and environment checking sensors to ensure people safety during emergencies and to measure environmental conditions.
“Lamp posts will be also equipped with cameras and environment checking sensors to ensure people safety during emergencies and measure environmental conditions accordingly and enhance the capabilities of a regular lamp post.”
From A Review of Machine Learning and IoT in Smart Transportation (2019) · cites this paper as [71]
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 8
- 10.4236/ijcns.2013.68038 · DOI
- 10.1155/2014/971587 · DOI
- 10.1007/s12053-013-9195-9 · DOI
- 10.1108/17427371111146437 · DOI
- 10.1109/ISWTA.2013.6688792 · DOI
- rajput, 2013, Intelligent street lighting system using gsm, International Journal of Engineering Science Invention, 2, 60
- wen-tsai, 2013, Design and implementation of a smart LED lighting system using a self adaptive weighted data fusion algorithm, SENSORS, 13, 16915, 10.3390/s131216915 · DOI
- 10.3390/s130506492 · DOI
Cited by
Sorted by citations
A Review of Machine Learning and IoT in Smart Transportation
Zantalis, F., Koulouras, G., Karabetsos, S., & Kandris, D. (2019) · Future Internet · doi:10.3390/fi11040094 · Cited by 625
Smart Transportation: An Overview of Technologies and Applications
Oladimeji, D., Gupta, K., Kose, N. A., Gundogan, K., Ge, L., & Liang, F. (2023) · Sensors · doi:10.3390/s23083880 · Cited by 386
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
“Zigbee is a wireless communication model that has a short distance and has small bandwidth, making it suitable for implementing IoT [117].”
Background
Metadata
- Authors
- Tripathy, A. K., Mishra, A. K., & Das, T. K.
- Affiliations
- Vellore Institute of Technology University (IN)
- Venue
- 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT)
- Publisher
- IEEE
- Published
- 2017-07
- Pages
- 1236-1239
- OpenAlex
- W2798504267
- Cited by
- 49
- References
- 0
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 13 · 2023: 8 · 2022: 9 · 2021: 4 · 2020: 5 · 2019: 5 · 2018: 1
- FWCI
- 4.26
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Arduino and IoT Applications
- Physical Sciences › Engineering › Control and Systems Engineering › Wireless Sensor Networks and IoT
- Social Sciences › Urban Studies › Smart Cities and Technologies
- Keywords
- smart street lighting, Internet of Things, LED street lighting, energy conservation, remote control, microcontroller-based controller, motion sensing, vehicle and pedestrian detection, energy consumption monitoring
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