Spatio-Temporal Data Model for Wireless Sensor Network
Kamel Abbassi, Kamel Khedhiri, Tahar Ezzedine, Adnen Cherif · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2022
The monitoring system based on a sensor network requires large databases due to the storage of measurements without checking their redundancies.In this paper, we propose an instantaneous spatiotemporal data model based on object-oriented concepts that considers the possibility of tracking data from different objects (sensors) for periodic or instantaneous events.Each sensor must record its measurement only when a significant change is applied to it.With our model, we have subdivided the save sets into several sub entities to minimize the space occupied and save only the relevant information.This approach allows to manage the saving of different data according to the needs of the user or the phenomenon to be monitored.It also reduces data redundancy and facilitates the execution of queries.