Improving Efficiency of Data Storage and Retrieval In Iot Applications Through Cloud Computing Solutions.

Abstract

IoT technology has been a popular approach to deploy and run business applications. However, due to the large amounts of data generated by distributed sensors, it has become a pressing issue for businesses to acquire, incorporate, store, manage and use this data. This has posed a challenge for researchers and engineers to cope with this large amount of heterogeneous data, especially in highly dispersed environments, such as cloud platforms. However, due to the large number of users or devices in a cloud network, it becomes difficult to manage the efficiency of different storage nodes. This leads to increased complexity in controlling the hardware and network traffic, resulting in a decrease in cloud network performance. Real-time analytics is challenging, and as a result, this project develops an innovative architecture to incorporate cloud based IoT to provide a solution to this challenge. It must help the streaming of real-time sensor data from medical appliances for efficient collection of necessary data. The data is then stored in a JSON (Java Script Object Notation) format and be accessed from anywhere in the world. Edge Devices like ESP8266 helps to send the real-time data directly to the cloud using MQTT (Message Queue Telemetry Transport Protocol) Protocol. MQTT protocol builds a publish subscribe mechanism to enable sending/receiving of data directly to AWS S3 (Simple Storage Service). Furthermore, AWS IoT Core and AWS IoT Analytics are used for the collection and analysis of data in AWS cloud for better insights and understanding of data, which ultimately increases the efficiency of predictions in Machine Learning applications. Live monitoring of IoT devices is crucial in industry for real-time insights, early fault detection, and optimized performance. It enables predictive maintenance, enhances security by detecting threats, ensures compliance with regulations, and supports data-driven decision-making. In addition to operational benefits, it improves customer satisfaction by ensuring a reliable user experience. Overall, continuous monitoring of IoT devices is essential for maximizing efficiency, minimizing downtime, and meeting industry standards.