An approach to storing real-time sensor readings based on NoSQL database systems

Sensors provide valuable information about the surrounding environment. They are used to monitor the GPS location of objects or the temperature of the surrounding environment. Databases are typically used to store the data that these sensors provide in the increasing demand for sensor data storage platforms. Longtime SQL databases have proven their reliability in maintaining data for various kinds of applications. Over the last couple of years, NoSQL databases become a popular choice among developers because of their availability, scalability, dynamic schemas and storing different types of information in a fast manner. This paper compares various types of models for storing real-time sensor readings in the NoSQL database. For the current analysis, a microcomputer system was designed to send live GPS data and other sensor readings over the GPRS Network. A comparison is also made between NoSQL database running on a cloud server and physical machine. Concluding this article, we summarize the results obtained in the process of storing a huge amount of real-time sensor readings.