{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T12:43:27Z","timestamp":1740141807057,"version":"3.37.3"},"reference-count":14,"publisher":"SAGE Publications","issue":"8","license":[{"start":{"date-parts":[[2013,8,1]],"date-time":"2013-08-01T00:00:00Z","timestamp":1375315200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Distributed Sensor Networks"],"published-print":{"date-parts":[[2013,8,1]]},"abstract":"<jats:p> For the Ubiquitous Sensor Network (USN) environment, which generally uses spatial as well as aspatial sensor data, a sensor database system to manage these data is essential. For this reason, sensor database systems such as TinyDB and Cougar are being developed by researchers. However, as most of these systems do not support spatial data types and spatial operators for managing spatial sensor data, they are not suitable for the USN environment. Therefore, in this paper, we design and implement Spatial TinyDB which is a spatial sensor database system that extends TinyDB to support spatial data types and spatial operators for the efficient management of spatial sensor data. In particular, Spatial TinyDB provides memory management and filtering functions to reduce system overload caused by sensor data streams. Finally, we prove that Spatial TinyDB is superior by comparing its actual performance, in terms of execution time, accuracy, and memory usage, with that of TinyDB. <\/jats:p>","DOI":"10.1155\/2013\/512368","type":"journal-article","created":{"date-parts":[[2013,8,27]],"date-time":"2013-08-27T21:02:53Z","timestamp":1377637373000},"page":"512368","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["Spatial TinyDB: A Spatial Sensor Database System for the USN Environment"],"prefix":"10.1177","volume":"9","author":[{"given":"Dong-Oh","family":"Kim","sequence":"first","affiliation":[{"name":"Cloud Computing Research Department, Electronics and Telecommunications Research Institute, Daejeon 305-700, Republic of Korea"}]},{"given":"Lei","family":"Liu","sequence":"additional","affiliation":[{"name":"Domestic Financial Department, China Banking Regulatory Commission Henan Office, 6 Cuizhu Street, High & New Technology Industries Development Zone, Zhengzhou 450000, China"}]},{"given":"In-Su","family":"Shin","sequence":"additional","affiliation":[{"name":"Division of Computer Science & Engineering, Konkuk University, Seoul 143-701, Republic of Korea"}]},{"given":"Jeong-Joon","family":"Kim","sequence":"additional","affiliation":[{"name":"Division of Computer Science & Engineering, Konkuk University, Seoul 143-701, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0765-9791","authenticated-orcid":false,"given":"Ki-Joon","family":"Han","sequence":"additional","affiliation":[{"name":"Division of Computer Science & Engineering, Konkuk University, Seoul 143-701, Republic of Korea"}]}],"member":"179","published-online":{"date-parts":[[2013,8,27]]},"reference":[{"first-page":"1","volume-title":"Proceedings of the ITU-T Kaleidoscope Academic Conference on Innovations for Digital Inclusion","author":"Inoue M.","key":"B4-2013-512368"},{"key":"B1-2013-512368","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2010.06.001"},{"key":"B15-2013-512368","doi-asserted-by":"publisher","DOI":"10.1109\/TE.2010.2041235"},{"key":"B11-2013-512368","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-79996-2_1"},{"key":"B13-2013-512368","doi-asserted-by":"publisher","DOI":"10.1109\/ITNG.2010.204"},{"key":"B9-2013-512368","doi-asserted-by":"publisher","DOI":"10.1145\/1061318.1061322"},{"key":"B16-2013-512368","doi-asserted-by":"publisher","DOI":"10.1145\/601858.601861"},{"key":"B3-2013-512368","first-page":"172","volume":"17","author":"Felice P. 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