{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:19:20Z","timestamp":1740169160927,"version":"3.37.3"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61802245","61902236"],"award-info":[{"award-number":["61802245","61902236"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Sailing Program","award":["18YF1408200"],"award-info":[{"award-number":["18YF1408200"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2019.2961384","type":"journal-article","created":{"date-parts":[[2019,12,23]],"date-time":"2019-12-23T23:56:55Z","timestamp":1577145415000},"page":"514-525","source":"Crossref","is-referenced-by-count":0,"title":["Near-Optimal User Recruitment in Mobile Crowdsensing for Urban Fine-Grained Event Detection"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0485-839X","authenticated-orcid":false,"given":"Tong","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1617-8618","authenticated-orcid":false,"given":"Yameng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0945-4194","authenticated-orcid":false,"given":"Xiaoxian","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8300-6376","authenticated-orcid":false,"given":"Weiqin","family":"Tong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/1247660.1247688"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2005.37"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2014.2363842"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2016.30"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3084041.3084063"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2017.230"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2017.2775232"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2746285.2746306"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30146-0_49"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.31209\/2019.100000110"},{"journal-title":"Bayes&#x2019; Rule A Tutorial Introduction to Bayesian Analysis","year":"2013","author":"stone","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/BF01588971"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ROBIO.2009.5420399"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2008.04.002"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.4304\/jcm.2.2.1-9"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2910855"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/SAHCN.2014.6990360"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/1814433.1814468"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/SAHCN.2011.5984882"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICPP.2015.47"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2017.8057034"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2956827"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2746285.2746310"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11276-019-02200-6"},{"key":"ref20","first-page":"427","article-title":"Adaptive submodularity: Theory and applications in active learning and stochastic optimization","volume":"42","author":"golovin","year":"2011","journal-title":"J Artif Intell Res"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88351-7_16"},{"key":"ref21","first-page":"1650","article-title":"Near-optimal observation selection using submodular functions","volume":"7","author":"krause","year":"2007","journal-title":"Proc AAAI"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1791212.1791226"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/PERCOMW.2011.5766902"},{"key":"ref26","first-page":"13","article-title":"Image browsing, processing, and clustering for participatory sensing: Lessons from a dietsense prototype","author":"hyman","year":"2007","journal-title":"Proc 4th Workshop Embedded Netw Sensors"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/1644038.1644048"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/08938742.pdf?arnumber=8938742","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:35:48Z","timestamp":1641987348000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8938742\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2961384","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2020]]}}}