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Sensor-Based Solid Waste Handling Systems: A Survey

Publication Type : Journal Article

Publisher : National library of medicine

Source : Sensors 22, no. 6: 2340. Impact factor: 3.847

Url :

Campus : Coimbatore

School : School of Computing

Year : 2022

Abstract : As a consequence of swiftly growing populations in the urban areas, larger quantities of solid waste also form rapidly. Since urban local bodies are found to be unable to manage this perilous situation effectively, there is a high probability of risks relative to the environment and public health. A sudden change is indispensable in the existing systems that are developed for the collection, transportation, and disposal of solid waste, which are entangled in turmoil. However, Smart sensors and wireless technology enable cyber-physical systems to automate solid waste management, which will revolutionize the industry. This work presents a comprehensive study on the evolution of automation approaches in solid waste management systems. This study is enhanced by dissecting the available literature in solid waste management with Radio Frequency Identification (RFID), Wireless Sensor Networks (WSN), and Internet of Things (IoT)-based approaches and analyzing each category with a typical architecture, respectively. In addition, various communication technologies adopted in the aforementioned categories are critically analyzed to identify the best choice for the deployment of trash bins. From the survey, it is inferred that IoT-based systems are superior to other design approaches, and LoRaWAN is identified as the preferred communication protocol for the automation of solid waste handling systems in urban areas. Furthermore, the critical open research issues on state-of-the-art solid waste handling systems are identified and future directions to address the same topic are suggested.

Cite this Research Publication : Vishnu, S., S. R. Jino Ramson, M. S. S. Rukmini, and Adnan M. Abu-Mahfouz. 2022. "Sensor-Based Solid Waste Handling Systems: A Survey" Sensors 22, no. 6: 2340. Impact factor: 3.847

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