{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T15:26:18Z","timestamp":1774538778275,"version":"3.50.1"},"reference-count":40,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2019,8,15]],"date-time":"2019-08-15T00:00:00Z","timestamp":1565827200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Tianjin Science and Technology Foundation","award":["18ZXJMTG00290"],"award-info":[{"award-number":["18ZXJMTG00290"]}]},{"name":"National Program for Support of Top-Notch Young Professionals of National Program for Special Support of Eminent Professionals"},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61772544, 61872372, 61672195, and 61632009"],"award-info":[{"award-number":["61772544, 61872372, 61672195, and 61632009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003453","name":"Guangdong Provincial Natural Science Foundation","doi-asserted-by":"crossref","award":["2017A03030800"],"award-info":[{"award-number":["2017A03030800"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Sen. Netw."],"published-print":{"date-parts":[[2019,11,30]]},"abstract":"<jats:p>A mobile crowdsensing (MCS) platform motivates employing participants from the crowd to complete sensing tasks. A crucial problem is to maximize the profit of the platform, i.e., the charge of a sensing task minus the payments to participants that execute the task. In this article, we improve the profit via the data reconstruction method, which brings new challenges, because it is hard to predict the reconstruction quality due to the dynamic features and mobility of participants. In particular, two Profit-driven Online Participant Selection (POPS) problems under different situations are studied in our work: (1) for S-POPS, the sensing cost of the different parts within the target area is the Same. Two mechanisms are designed to tackle this problem, including the ProSC and ProSC+. An exponential-based quality estimation method and a repetitive cross-validation algorithm are combined in the former mechanism, and the spatial distribution of selected participants are further discussed in the latter mechanism; (2) for V-POPS, the sensing cost of different parts within the target area is Various, which makes it the NP-hard problem. A heuristic mechanism called ProSCx is proposed to solve this problem, where the searching space is narrowed and both the participant quantity and distribution are optimized in each slot. Finally, we conduct comprehensive evaluations based on the real-world datasets. The experimental results demonstrate that our proposed mechanisms are more effective and efficient than baselines, selecting the participants with a larger profit for the platform.<\/jats:p>","DOI":"10.1145\/3342515","type":"journal-article","created":{"date-parts":[[2019,8,16]],"date-time":"2019-08-16T19:35:19Z","timestamp":1565984119000},"page":"1-29","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Towards Profit Optimization During Online Participant Selection in Compressive Mobile Crowdsensing"],"prefix":"10.1145","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6979-1144","authenticated-orcid":false,"given":"Yueyue","family":"Chen","sequence":"first","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deke","family":"Guo","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, China and Tianjin University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"MD Zakirul Alam","family":"Bhuiyan","sequence":"additional","affiliation":[{"name":"Fordham University, NewYork, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6979-1144","authenticated-orcid":false,"given":"Ming","family":"Xu","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guojun","family":"Wang","sequence":"additional","affiliation":[{"name":"Guangzhou University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pin","family":"Lv","sequence":"additional","affiliation":[{"name":"Guangxi University, Nanning, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,8,15]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2011.6069707"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/MDM.2016.26"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3154423"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2750858.2804273"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3043948"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-5346-7_10"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2015.7218644"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2971648.2971735"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2750858.2807513"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3139256"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2013.2248253"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1080\/02564602.2016.1233835"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3131671"},{"key":"e_1_2_1_14_1","volume-title":"Proceedings of the 37th IEEE Conference on Computer Communications (INFOCOM\u201918)","author":"He Suining","unstructured":"Suining He and Kang G. Shin . 2018. Steering crowdsourced signal map construction via bayesian compressive sensing . Proceedings of the 37th IEEE Conference on Computer Communications (INFOCOM\u201918) . 1016--1024. Suining He and Kang G. Shin. 2018. Steering crowdsourced signal map construction via bayesian compressive sensing. Proceedings of the 37th IEEE Conference on Computer Communications (INFOCOM\u201918). 1016--1024."},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2013.269"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/IWQoS.2016.7590450"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/IWQoS.2016.7590447"},{"key":"e_1_2_1_18_1","volume-title":"Proceedings of the IEEE\/ACM 25th International Symposium on Quality of Service (IWQoS\u201917)","author":"Yin Xiaoyan","year":"2017","unstructured":"Xiaoyan Yin , Yanjiao Chen , and Baochun Li . 2017 . Task assignment with guaranteed quality for crowdsourcing platforms . Proceedings of the IEEE\/ACM 25th International Symposium on Quality of Service (IWQoS\u201917) . 1--10. Xiaoyan Yin, Yanjiao Chen, and Baochun Li. 2017. Task assignment with guaranteed quality for crowdsourcing platforms. Proceedings of the IEEE\/ACM 25th International Symposium on Quality of Service (IWQoS\u201917). 1--10."},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/IWQoS.2018.8624120"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/1594977.1592600"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-018-1855-y"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2018.2846569"},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2016.7524478"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2017.06.010"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2016.7498228"},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2017.147"},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3035918.3064020"},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-016-3599-4"},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2017.07.006"},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2737095.2737105"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3055031.3055081"},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2632048.2632102"},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2017.8057033"},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2017.56"},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2018.8485969"},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.5555\/243647.243663"},{"key":"e_1_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623656"},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2718525"},{"key":"e_1_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/1689239.1689247"},{"key":"e_1_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2488188"}],"container-title":["ACM Transactions on Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3342515","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3342515","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:23:00Z","timestamp":1750202580000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3342515"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,15]]},"references-count":40,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2019,11,30]]}},"alternative-id":["10.1145\/3342515"],"URL":"https:\/\/doi.org\/10.1145\/3342515","relation":{},"ISSN":["1550-4859","1550-4867"],"issn-type":[{"value":"1550-4859","type":"print"},{"value":"1550-4867","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,8,15]]},"assertion":[{"value":"2018-11-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-06-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-08-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}