An Effective IoT Based Waste Management System Using Fuzzy Soft Expert Systems

The rapid population growth in urban areas leads to increased waste generation and the need for sustainable waste management solutions to preserve the global environment. In this paper, we present an intelligent garbage collection system for smart city environments, which consists of three key components. First, we propose a novel model to optimize the positioning of garbage bins to prevent both overflow and underutilization. We leverage a fuzzy soft expert set-based solution to identify optimal locations within a selected region. Experimental results demonstrate that our proposed method significantly outperforms manual placement strategies in mitigating issues arising from inappropriate bin placement. Second, we address the problem of improper waste collection from overflowing garbage bins by developing a smart bin system. This system employs a voice-controlled bin that sends automatic alerts to collectors before reaching its full capacity, as well as audio alerts for the public to prevent waste overflow around the bin. Lastly, we integrate a mobile application and cloud-based database to enable real-time monitoring of bin statuses. This comprehensive approach to waste management in urban areas not only enhances the efficiency of garbage collection but also contributes to a cleaner and more sustainable environment.