Serverless IoT Application Using AWS IoT Core and Lambda for Real-Time Sensor Data Processing

Abstract: The Internet of Things (IoT) is one of the most significant technological advancements in modern computing, enabling physical devices to communicate, exchange data, and perform intelligent operations through the internet. As the number of connected devices continues to grow rapidly, there is an increasing need for scalable, reliable, and secure cloud infrastructure capable of handling large volumes of sensor-generated data efficiently. This project focuses on the design and implementation of a Serverless IoT Application using Amazon Web Services (AWS) cloud technologies. The proposed system demonstrates how IoT sensor data can be collected, processed, stored, and monitored using a fully managed cloud-based architecture. Temperature data is transmitted securely to the cloud using the MQTT protocol and received by AWS IoT Core. An IoT rule triggers an AWS Lambda function that processes, validates, and stores the data in Amazon DynamoDB. Amazon CloudWatch provides monitoring and logging capabilities. The serverless architecture offers automatic scaling, reduced infrastructure management, improved reliability, and cost efficiency through a pay-per- use model.

Keywords: AWS IoT Core, AWS Lambda, Serverless Computing, Amazon DynamoDB, Amazon CloudWatch, MQTT Protocol, IoT, Cloud Computing, Python.