Captree: Spatial and temporal indexing in databases from fixed sensors

Nower days, embedded systems and sensor networks are regarded as the best technologies for monitoring the environments risk as well as prevention of natural disasters. Being capable of collecting a huge amount of spatial, temporal and spatiotemporal data in real-time. These systems are required to ensure quick storage in databases, faster queries, manipulate temporal sequences. Also, for the system robustness to avoid main access memory congestion. In order to meet their needs, we propose in this paper a data indexing technique called Captree, which enables the indexation of data provided by fixe sensors. Our results prove that we reduced the time required to process the data as well the computational complexity of the related algorithm.