Multi-Robot Localization System using an Array of LEDs and LDR Sensors

In many countries, particularly, third world countries. The common issue is saving energy. That`s why smart systems considered now primary for life requirements. This work aims to solve the energy saving problem. We prepared a street model that contains several lampposts on both sides of the street; we placed three IR sensors between the lampposts alongside the street. The IR sensors are connected to the controller (in this work we used Arduino UNO). The controller takes the signal from the IR sensor, and then it sends the command to the lamppost to turn on or off. Depending on the number of cars passed, (we took a sample of a number of cars that passed on an actual street) and through formulas we calculated the power consumed by the lampposts in two cases, the first case is when the lights is always on. The second case is when the smart system applied. We also applied fuzzy logic to the system to take the intensity of the ambient light (the sun light) under consideration. The results showed that the proposed smart lighting system is efficient and reliable in saving energy. The energy saved for both (smart and fuzzy) systems was enormous.

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Fuzzy-based smart system for controlling road lights

Satam¹

2022

Vojnotehnički glasnik

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Introduction: The energy consumed for street lighting is a major expenditure in urban environments. According to the World Bank, it constitutes up to 65% of cities' electricity costs and 10% of their overall budgets. The demand for lighting is growing significantly due to rapid urbanization, thus eating up even more energy and money - unless smarter solutions are deployed to reduce costs. Method: In this paper, a model for street lighting was established, consisting of several lamp posts on both sides of the street. The model was the exact replica of the street lighing system inside the city of Kirkuk, Iraq. The number of objects passing along the street was monitored, both during and out of rush hours. This all was taken into account in the energy consumption calculation. The controller used for this model is Arduino UNO. The Arduino receives signals from 3 IR sensors, processes these signals, and then sends the action to the lamp posts. Fuzzy logic was applied in two cases: the first one is during the daylight, the second one is during the sunrise and the sunset, to control the intensity of the light of the lamp posts. Results: Both cases showed significant results regarding the reliability, efficiency, and countability of the system in decreasing the level of energy consumption. Conclusion: The system can be applicable for smart city projects. It is efficient, cost effective and shows reliable results in saving energy.

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Multi-Robot Localization System using an Array of LEDs and LDR Sensors

Cited by 3 publications

References 15 publications

Shortest Distance Orientation Algorithm for Robot Path Planning using Low-Cost IR Sensor System

Shortest Distance Orientation Algorithm for Robot Path Planning using Low-Cost IR Sensor System

Execution of a smart street lighting system for energy saving enhancement

Fuzzy-based smart system for controlling road lights

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