Proposed Design and Implementation Guidelines for Energy Efficient Smart Street Lighting: A Malaysian Perspective
Richson Ngu, Kamalanathan Shanmugam, Muhammad Ehsan Rana
Abstract
Streetlights are among the essential public infrastructure components for both urban and rural areas. It allows people to provide a clear vision at night and brings convenience to society. A Smart Street Lighting System uses IoT sensors and can interact with software to improve its effectiveness and utility. Since streetlights must be turned on for the entire duration of the night, it is essential to find ways of reducing energy consumption to actualize a greener society. It can be done by integrating sensors that can detect movements and control the way streetlights behave through the gathered data. This research aims to reduce the energy consumption needed for the operation of streetlights by applying appropriate IoT based techniques. An extensive discussion on the existing literature and similar systems reviews the current developments critically. The research gathered public insights through a quantitative research approach and applied this information in recommending a solution. With the help of a prototyping model, the authors demonstrated how a Smart Street Lighting System could achieve optimal performance.