Abstract
The lighting standards allow to dim the lighting when the road traffic decreases. A control system gathers information from sensors and generates proper dimming levels for lighting points. The Dual Graph Grammars has been proposed as a formal background to maintain the information structure for such a control system. It results in separation of sensors structure from lighting infrastructure. It enables taking into account complex geographical distribution of sensors and logical dependencies among them, which leads to more precise and energy efficient control. What is more important it decreases the control system’s computing power requirements by reducing the problem size during run-time. The approach has been verified in practice by deployment to a control system which manages 3,768 light points. Experimental results show a reduction of the computation time by a factor of 2.8 in this case and quickly grows when number of sensors increases. It makes the control system to be scalable in IoT environments.
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Funding: this work was supported by the AGH University of Science and Technology grant number 11.11.120.859.
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Kotulski, L., Wojnicki, I. (2019). Scalability of Dynamic Lighting Control Systems. In: Jezic, G., Chen-Burger, YH., Howlett, R., Jain, L., Vlacic, L., Šperka, R. (eds) Agents and Multi-Agent Systems: Technologies and Applications 2018. KES-AMSTA-18 2018. Smart Innovation, Systems and Technologies, vol 96. Springer, Cham. https://doi.org/10.1007/978-3-319-92031-3_15
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