{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T19:11:08Z","timestamp":1771701068234,"version":"3.50.1"},"reference-count":2,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2005,7,1]],"date-time":"2005-07-01T00:00:00Z","timestamp":1120176000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGMOBILE Mob. Comput. Commun. Rev."],"published-print":{"date-parts":[[2005,7]]},"abstract":"<jats:p>Scalable, energy-efficient data acquisition in large sensor network deployments such as habitat monitoring is an research important problem. In several papers [1, 2], sensor networks have been modeled as having a single sink (or base-station) that acts as the data recipient for a large number of sensors (data sources) deployed over a sensor field. The sensor network might use simple querying and data collection trees for hop-by-hop query dissemination and routing of sensor responses [1] back towards the sink. Since sensors are energy-constrained devices, we wish to minimize communication energy expenditure of these sensors.<\/jats:p>","DOI":"10.1145\/1094549.1094561","type":"journal-article","created":{"date-parts":[[2007,1,17]],"date-time":"2007-01-17T18:32:02Z","timestamp":1169058722000},"page":"82-85","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":45,"title":["Data acquisition in multiple-sink sensor networks"],"prefix":"10.1145","volume":"9","author":[{"given":"Abhimanyu","family":"Das","sequence":"first","affiliation":[{"name":"University of Southern California, Los Angeles, CA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Debojyoti","family":"Dutta","sequence":"additional","affiliation":[{"name":"University of Southern California, Los Angeles, CA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2005,7]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/345910.345920"},{"key":"e_1_2_1_2_1","unstructured":"B. Krishnamachari D. Estrin and S. Wicker \"Impact of data aggregation in wireless sensor networks \" in International Workshop of Distributed Event Based Systems (DEBS) Vienna Austria July 2002.   B. Krishnamachari D. Estrin and S. Wicker \"Impact of data aggregation in wireless sensor networks \" in International Workshop of Distributed Event Based Systems (DEBS) Vienna Austria July 2002."}],"container-title":["ACM SIGMOBILE Mobile Computing and Communications Review"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1094549.1094561","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1094549.1094561","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T20:22:13Z","timestamp":1750278133000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1094549.1094561"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,7]]},"references-count":2,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2005,7]]}},"alternative-id":["10.1145\/1094549.1094561"],"URL":"https:\/\/doi.org\/10.1145\/1094549.1094561","relation":{},"ISSN":["1559-1662","1931-1222"],"issn-type":[{"value":"1559-1662","type":"print"},{"value":"1931-1222","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,7]]},"assertion":[{"value":"2005-07-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}