Smart Solid Waste Management System Using IOT

Abstract

Many times we see that the garbage bins (Dustbins) are placed at public places are overflowing due to increase in waste every day. This creates unhygienic condition for the people and also creates bad smell (foul smell) around the surroundings which leads in spreading some deadly diseases & human illness. To avoid this kind of situation we are working on the project to design “Smart Waste Management System using IoT”. In this proposed System there are multiple dustbins located in the city or the Campus.  These dustbins are provided with low cost embedded device which helps in tracking the level of the garbage bins and a unique ID will be provided for every dustbin in the city so that it is easy to identify which garbage bin is full. When the level reaches the threshold limit, the device will transmit the signal to the cloud server with details like dustbin level along with the unique ID provided. These details can be checked by the concern authorities from their place with the help of Internet and an immediate action can be made to clean the dustbins. As soon as dustbin has reached its maximum level, waste management department gets alert via SMS via Mobile network (GSM) placed at dustbin so department can send waste collector truck to dustbin location to collect garbage. The objective of the project is to enhance practical use of IoT based solid waste collection and management system for metro Politian cities. Internet of Things (IoT) is very popular nowadays in the smart cities because of its application in waste management, water management, etc. This paper performs a review of existing IoT-enabled solutions in smart cities waste management. The objective of this paper is to get knowledge about the strengths and weaknesses of the system in order to bring improvements and innovations to manage waste effectively and efficiently and maintain a healthy environment in our cities. We have performed reviews on 15 research paper articles in the literature and the results obtained shows that existing solutions were similar in the technologies used. This thus, calls for further improvement and innovation.