A Survey on IOT based Real Time, Smart Adaptive Street Lighting System with Pollution Monitoring for Smart Cities

Abstract

The Internet of Things (IoT) is a new interconnection of technology. It is being heralded as the next industrial revolution. It’s also praised for its ability to reduce waste and energy, by allowing us to better control our use of resources based on our actual needs. Currently, energy consumed by the street lights in metropolitan cities is extremely high and hence are less efficient. One of the major problems with the existing street lighting system is that all the street lights are controlled manually and therefore require huge manpower. Even if a street light stops working there is no way by which the authorities can know about the failure. Another growing concern in cities is the pollution. The purpose of this paper is to propose a solution which can be adopted in every city where all the street lights are connected to the central server via internet which can be monitored remotely and thus making it an energy efficient system. These street lights are adaptive meaning that they can change the intensity of light depending on the vehicular movement. They also send information about the pollution level in that locality. Thus IoT promises huge improvements in street lighting system.