Storing data from sensors networks
Filip Atanasov Tsvetanov · IOP Conference Series Materials Science and Engineering · 2021
Abstract Sensor networks generate a massive amount of heterogeneous and multidimensional data with specific characteristics, for the storage, processing and visualisation of generated sensor data most often used specially designed databases for sensory data, which can integrate into cloud structures. This paper presents a diagram of the integration of data from sensor networks in the cloud, which solves essential issues about the cost of sensor networks and the possibilities for storing sensor data in specialised cloud databases. The peculiarities of the sensory data and the specific requirements for their storage and processing are analysed. Through which approaches and models in the storage are identified, as well as the possibilities for their application. TSBD time-series database and cloud databases suitable for storage of sensor data are systematised, and recommendations for the selection made.