An indexing method using sensing information on integrated sensor networks

For integrated sensor networks, some methods to faster retrieve the sensor network site that has the queried mobile sensor data have been proposed. In these methods, the systems create the indexes for the site retrieval based on the locations at that sensor data are obtained. The systems can much faster retrieve the queried data by creating the indexes also based on the sensing information such as the times at that sensor data are obtained and the queried ranges. Hence, we propose a spatiotemporal index creation method considering sensing information such as the locations and the time. In our proposed method, an index server manages the range of the locations and the times of the mobile sensor data that each site has. For the management, the index server constructs tree structured indexes. Our evaluation show that our proposed method can reduce the retrieval time compared with conventional indexing methods.