Cloud Based Smart Waste Management Digital Twin Using AWS Serverless Architecture
DOI:
https://doi.org/10.64882/ijrt.v14.i2.1307Keywords:
Digital Twin, Smart Waste Management, Serverless in AWS, AWS Lambda, Amazon DynamoDB, Amazon SNS, API Gateway, CloudFront, IoT Simulation, Cloud Computing, Urban ComputingAbstract
Even in the majority of cities, garbage collection follows fixed calendar schedules regardless of how full or empty bins actually are. This wastes fuel, causes bins to overflow, and creates unnecessary health risks. Without deploying physical sensors across an IoT network, digital twins can help validate the concept at low cost. This paper presents a proof-of-concept, fully software-based smart waste management digital twin built exclusively on AWS serverless resources and off-the-shelf libraries. The system processes bin telemetry via AWS Lambda through Amazon API Gateway, persists state in DynamoDB, and dispatches email alerts with Google Maps links via Amazon SNS when fill level reaches 80%. A single-page dashboard hosted on Amazon S3 and delivered through CloudFront displays colour-coded bin icons, KPI cards, and Chart.js visualizations. Across 50 simulated payloads, the system produced no false alarms, delivered all alert emails accurately, and kept the dashboard continuously synchronised with the backend. Detection accuracy at the critical ≥80% threshold was 100%. Because the backend is agnostic to payload source, pointing physical sensors at the same API endpoints is the only step required to move from prototype to production. Outstanding gaps include sensor noise modelling, load testing, per-bin configurable thresholds, and API authentication.
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