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Energies 2018, 11(2), 402; https://doi.org/10.3390/en11020402

Improving Control Efficiency of Dynamic Street Lighting by Utilizing the Dual Graph Grammar Concept

Department of Applied Computer Science, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland
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Received: 5 December 2017 / Revised: 20 January 2018 / Accepted: 6 February 2018 / Published: 9 February 2018
(This article belongs to the Collection Smart Grid)
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Abstract

The paper introduces a definition of dual graph grammar. It enables two graphs to share information in a synchronized way. A smart city example application, which is an outdoor lighting control system utilizing the dual graph grammar, is also demonstrated. The system controls dimming of street lights which is based on traffic intensity. Each luminaire’s light level is adjusted individually to comply with the lighting norms to ensure safety. Benefits of applying the dual graph grammar are twofold. First, it increases expressive power of the mathematical model that the system uses. It becomes possible to take into account complex geographical distribution of sensors and logical dependencies among them. Second, it increases the system’s efficiency by reducing the problem size during run-time. Experimental results show a reduction of the computation time by a factor of 2.8. The approach has been verified in practice. View Full-Text
Keywords: graph transformations; dual graph grammar; road lighting; street lighting; efficiency; problem size reduction graph transformations; dual graph grammar; road lighting; street lighting; efficiency; problem size reduction
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Wojnicki, I.; Kotulski, L. Improving Control Efficiency of Dynamic Street Lighting by Utilizing the Dual Graph Grammar Concept. Energies 2018, 11, 402.

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