{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T10:08:01Z","timestamp":1775297281704,"version":"3.50.1"},"publisher-location":"New York, NY","reference-count":17,"publisher":"Springer New York","isbn-type":[{"value":"9781461482666","type":"print"},{"value":"9781461482659","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-1-4614-8265-9_93","type":"book-chapter","created":{"date-parts":[[2018,12,6]],"date-time":"2018-12-06T07:07:09Z","timestamp":1544080029000},"page":"725-730","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Data Aggregation in Sensor Networks"],"prefix":"10.1007","author":[{"given":"Jun","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kamesh","family":"Munagala","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adam","family":"Silberstein","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,12,7]]},"reference":[{"key":"93_CR417","doi-asserted-by":"crossref","unstructured":"Considine J, Li F, Kollios G, Byers J. Approximate aggregation techniques for sensor databases. In: Proceedings of the 20th International Conference on Data Engineering; 2004. p. 449\u201360.","DOI":"10.1109\/ICDE.2004.1320018"},{"key":"93_CR418","doi-asserted-by":"crossref","unstructured":"Cormode G, Garofalakis M, Muthukrishnan S, Rastogi R. Holistic aggregates in a networked world: distributed tracking of approximate quantiles. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2005. p. 25\u201336.","DOI":"10.1145\/1066157.1066161"},{"key":"93_CR419","doi-asserted-by":"crossref","unstructured":"Cormode G, Tirthapura S, Xu B. Time-decaying sketches for sensor data aggregation. In: Proceedings of the ACM Symposium on Principles of Distributed Computing; 2007. p. 215\u201324.","DOI":"10.1145\/1281100.1281132"},{"key":"93_CR420","doi-asserted-by":"publisher","first-page":"658","DOI":"10.1007\/978-3-540-24741-8_38","volume-title":"Advances in Database Technology - EDBT 2004","author":"Antonios Deligiannakis","year":"2004","unstructured":"Deligiannakis A, Kotidis Y, Roussopoulos N. Hierarchical in-network data aggregation with quality guarantees. In: Advances in Database Technology, Proceedings of the 9th International Conference on Extending Database Technology; 2004. p. 658\u201375."},{"key":"93_CR421","doi-asserted-by":"crossref","unstructured":"Gandhi S, Hershberger J, Suri S. Approximate isocontours and spatial summaries for sensor networks. In: Proceedings of the 6th International Symposium on Information Processing in Sensor Networks; 2007. p. 400\u20139.","DOI":"10.1109\/IPSN.2007.4379700"},{"key":"93_CR422","doi-asserted-by":"crossref","unstructured":"Gao J, Guibas LJ, Milosavljevic N, Hershberger J. Sparse data aggregation in sensor networks. In: Proceedings of the 6th International Symposium on Information Processing in Sensor Networks; 2007. p. 430\u20139.","DOI":"10.1109\/IPSN.2007.4379703"},{"key":"93_CR423","doi-asserted-by":"crossref","unstructured":"Greenwald M, Khanna S. Power-conserving computation of order-statistics over sensor networks. In: Proceedings of the 23rd ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems; 2004. p. 275\u201385.","DOI":"10.1145\/1055558.1055597"},{"key":"93_CR424","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/3-540-36978-3_5","volume-title":"Information Processing in Sensor Networks","author":"Joseph M. Hellerstein","year":"2003","unstructured":"Hellerstein JM, Hong W, Madden S, Stanek K. Beyond average: toward sophisticated sensing with queries. In: Proceedings of the 2nd International Workshop on Information Processing in Sensor Networks; 2003. p. 63\u201379."},{"key":"93_CR425","doi-asserted-by":"crossref","unstructured":"Intanagonwiwat C, Govindan R, Estrin D. Directed diffusion: a scalable and robust communication paradigm for sensor networks. In: Proceedings of the 6th Annual International Conference on Mobile Computing and Networking; 2000. p. 56\u201367.","DOI":"10.1145\/345910.345920"},{"key":"93_CR426","doi-asserted-by":"crossref","unstructured":"Kempe D, Dobra A, Gehrke J. Gossip-based computation of aggregate information. In: Proceedings of the 44th Annual Symposium on Foundations of Computer Science; 2003. p. 482\u201391.","DOI":"10.1109\/SFCS.2003.1238221"},{"issue":"5","key":"93_CR427","first-page":"1620","volume":"11","author":"H Luo","year":"2006","unstructured":"Luo H, Liu Y, Das S. Routing correlated data with fusion cost in wireless sensor networks. IEEE Trans Mobile Comput. 2006;11(5):1620\u201332.","journal-title":"IEEE Trans Mobile Comput"},{"key":"93_CR428","doi-asserted-by":"crossref","unstructured":"Madden S, Franklin MJ, Hellerstein JM, Hong W. TAG: a tiny aggregation service for ad-hoc sensor networks. In: Proceedings of the 5th USENIX Symposium on Operating System Design and Implementation; 2002.","DOI":"10.1145\/1060289.1060303"},{"key":"93_CR429","doi-asserted-by":"crossref","unstructured":"Manjhi A, Nath S, Gibbons PB. Tributaries and deltas: efficient and robust aggregation in sensor network streams. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2005. p. 287\u201398.","DOI":"10.1145\/1066157.1066191"},{"key":"93_CR430","doi-asserted-by":"crossref","unstructured":"Nath S, Gibbons PB, Seshan S, Anderson ZR. Synopsis diffusion for robust aggregation in sensor networks. In: Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems; 2004. p. 250\u201362.","DOI":"10.1145\/1031495.1031525"},{"key":"93_CR431","doi-asserted-by":"crossref","unstructured":"Silberstein A, Braynard R, Ellis C, Munagala K. A sampling-based approach to optimizing top-k queries in sensor networks. In: Proceedings of the 22nd International Conference on Data Engineering; 2006.","DOI":"10.1109\/ICDE.2006.10"},{"key":"93_CR432","doi-asserted-by":"crossref","unstructured":"Silberstein A, Munagala K, Yang J. Energy-efficient monitoring of extreme values in sensor networks. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2006.","DOI":"10.1145\/1142473.1142493"},{"key":"93_CR433","doi-asserted-by":"crossref","unstructured":"Xue W, Luo Q, Chen L, Liu Y. Contour map matching for event detection in sensor networks. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2006. p. 145\u201356.","DOI":"10.1145\/1142473.1142491"}],"container-title":["Encyclopedia of Database Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-1-4614-8265-9_93","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T09:40:37Z","timestamp":1775295637000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-1-4614-8265-9_93"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9781461482666","9781461482659"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-1-4614-8265-9_93","relation":{},"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"7 December 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}