IOT Based Waste Management for Smart City, Case of Musanze City

NIRERE UMUHIRE Marie Claire, Dr Luc Ngend

Abstract


Musanze City is among secondary cities in Rwanda is growing most rapidly [1]. The increased demand for good sanitation systems in rapidly urbanizing cities requires the proper disposal measures be implemented to keep hygiene levels high and prevent disease outbreaks. There are different applications of Internet of Things (IoT) like smart parking, smart home, smart city and smart environment process. One among such applications is enabling smart city by allowing real time management and monitoring waste collection process. For city to be cleaned the waste collector company was established but due low communication about where to obtain the waste, some area there is waste still disposed wherever around the city. This paper is a way to improve the waste management system with IoT technology in our city. We developed a prototype solution for establishing network between Collector Company and the waste bin where the dustbin is built based on a microcontroller: Arduino Uno and nodeMCU boards which are interfaced with Ultrasonic sensors. First ultrasonic sensor is placed at the top of the dustbin which will measure the level of the garbage in the dustbin other is sited in front of the waste bin for the user sensing. Arduino was programmed in such a way that when anybody nears the dustbin, it will be open the lid automatically unless the dustbin is not filled. Also the first ultrasonic sensor will trigger the nodeMCU which continuously publish the data on Ubidots platform. Once the garbage reaches the threshold level with the help of Ubidots platform, from 90% level of fill it alerts the required authority until the garbage in the dustbin is emptied. Once the dustbin is evacuated, people can reuse the dustbin. As the waste have been collected in time this will bring better life to the city population in addition the company will gain the money from few trajectory for collecting waste around the city.


Keywords


IoT

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References


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DOI: http://dx.doi.org/10.52155/ijpsat.v30.1.3901

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