A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A Solution for Enabling Intelligent Street Lighting in Smart Cities
In this paper we propose a novel concept for the street lighting automation, with the primary goal to decrease the level of light pollution and the electric energy waste. The concept enables the street lights, equipped for wireless communication, to be automatically switched on or off according to a presence of humans or moving vehicles. As opposed to existing solutions for street lighting automation, the proposed concept does not require any conventional presence or motion detection sensor. Presence and motion detection is based on the known fact that the human bodies interfere with radio signals, resulting in the significant variations of the signal strength. By analyzing the variations of the signal strength, using the proposed algorithm in a distributed way, the luminaries are able to deduce the presence of a human subject or a vehicle independently, and to set a functional state of the light accordingly. The solution is mainly applicable to some novel concepts of wireless light bulbs that have just appeared on the market, introducing cost-effective software add-on that can incorporate a significant level of sensing intelligence for more advanced applications in the smart cities.
A Solution for Enabling Intelligent Street Lighting in Smart Cities
In this paper we propose a novel concept for the street lighting automation, with the primary goal to decrease the level of light pollution and the electric energy waste. The concept enables the street lights, equipped for wireless communication, to be automatically switched on or off according to a presence of humans or moving vehicles. As opposed to existing solutions for street lighting automation, the proposed concept does not require any conventional presence or motion detection sensor. Presence and motion detection is based on the known fact that the human bodies interfere with radio signals, resulting in the significant variations of the signal strength. By analyzing the variations of the signal strength, using the proposed algorithm in a distributed way, the luminaries are able to deduce the presence of a human subject or a vehicle independently, and to set a functional state of the light accordingly. The solution is mainly applicable to some novel concepts of wireless light bulbs that have just appeared on the market, introducing cost-effective software add-on that can incorporate a significant level of sensing intelligence for more advanced applications in the smart cities.
A Solution for Enabling Intelligent Street Lighting in Smart Cities
Mrazovac, B. (author) / Todorovic, B. M. (author) / Kukolj, D. (author) / Samardzija, D. (author)
VDE-Kongress 2014 - Smart Cities – Intelligente Lösungen für das Leben in der Zukunft ; 2014 ; Frankfurt am Main, Deutschland
2014-01-01
5 pages
Conference paper
Electronic Resource
English
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