QoS-Aware Internet of Environmental Things Algorithm for IoT-Fog-Enabled Smart Waste Monitoring System

Abstract

Modern times have seen the rise of smart cities that rely on the Internet of Things. To process data, smart objects require multi-hop communication to transmit it to the sink. Internet of Things (IoT) enabled, data-driven smart cities enhance public utilities, infrastructure, and services for the benefit of residents. Smart towns that rely on the Internet of Things have a tough time collecting clean municipal garbage. Cities produce more waste as they expand. Two big problems with trash management are garbage collection and sorting. Public trash cans overflow before they are cleaned, leading to bacterial growth, unpleasant odours, and potential illness. Urbanization, inefficient technologies to aid solid waste management, and poor trash collection and disposal all contribute to these problems. Trash everywhere makes garbage collection more challenging. Solid waste management systems that aren't scientific, efficient, or good enough lead to a lot of issues. By combining the strengths of the IoT and fog computing, this paper proposed an integrated IoT-Fog-Cloud architecture for smart waste management systems and a QAIoET Algorithm for efficient resource allocation, which can improve service quality while reducing response time by 46.8% and costs by 2.6% compared to cloud solutions.