{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,14]],"date-time":"2024-09-14T15:55:58Z","timestamp":1726329358142},"reference-count":26,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2017,7,1]],"date-time":"2017-07-01T00:00:00Z","timestamp":1498867200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11272067","61403047","61503048"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Scientific Research Fund of Hunan Provincial Education Department","award":["16C0044"]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pervasive and Mobile Computing"],"published-print":{"date-parts":[[2017,7]]},"DOI":"10.1016\/j.pmcj.2017.02.009","type":"journal-article","created":{"date-parts":[[2017,3,6]],"date-time":"2017-03-06T17:04:46Z","timestamp":1488819886000},"page":"188-199","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":34,"special_numbering":"P1","title":["Fast participant recruitment algorithm for large-scale Vehicle-based Mobile Crowd Sensing"],"prefix":"10.1016","volume":"38","author":[{"given":"Kefu","family":"Yi","sequence":"first","affiliation":[]},{"given":"Ronghua","family":"Du","sequence":"additional","affiliation":[]},{"given":"Li","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Qingying","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Kai","family":"Gao","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.pmcj.2017.02.009_br000005","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1109\/MCOM.2011.6069707","article-title":"Mobile crowdsensing: current state and future challenges","volume":"49","author":"Ganti","year":"2011","journal-title":"IEEE Commun. Mag."},{"key":"10.1016\/j.pmcj.2017.02.009_br000010","doi-asserted-by":"crossref","first-page":"e0138898","DOI":"10.1371\/journal.pone.0138898","article-title":"Heterogeneous participant recruitment for comprehensive vehicle sensing","volume":"10","author":"Liu","year":"2015","journal-title":"PLoS One"},{"key":"10.1016\/j.pmcj.2017.02.009_br000015","first-page":"55","article-title":"Smartroad: Smartphone-based crowd sensing for traffic regulator detection and identification","volume":"11","author":"Hu","year":"2015","journal-title":"ACM Trans. Sens. Netw. (TOSN)"},{"key":"10.1016\/j.pmcj.2017.02.009_br000020","series-title":"Proceedings of the 28th Annual ACM Symposium on Applied Computing","first-page":"567","article-title":"Participatory sensing based traffic condition monitoring using horn detection","author":"Banerjee","year":"2013"},{"key":"10.1016\/j.pmcj.2017.02.009_br000025","series-title":"Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing","first-page":"15","article-title":"Real-time air quality monitoring through mobile sensing in metropolitan areas","author":"Devarakonda","year":"2013"},{"key":"10.1016\/j.pmcj.2017.02.009_br000030","series-title":"Proceedings of the 9th ACM\/IEEE International Conference on Information Processing in Sensor Networks","first-page":"105","article-title":"Ear-phone: an end-to-end participatory urban noise mapping system","author":"Rana","year":"2010"},{"key":"10.1016\/j.pmcj.2017.02.009_br000035","series-title":"2015 IEEE Conference on Computer Communications","first-page":"2542","article-title":"High quality participant recruitment in vehicle-based crowdsourcing using predictable mobility","author":"He","year":"2015"},{"key":"10.1016\/j.pmcj.2017.02.009_br000040","series-title":"2014 IEEE Wireless Communications and Networking Conference","first-page":"3160","article-title":"Optimal recruitment of smart vehicles for reputation-aware public sensing","author":"Hamid","year":"2014"},{"key":"10.1016\/j.pmcj.2017.02.009_br000045","series-title":"Proceedings of the 18th Annual International Conference on Mobile Computing and Networking","first-page":"173","article-title":"Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing","author":"Yang","year":"2012"},{"key":"10.1016\/j.pmcj.2017.02.009_br000050","doi-asserted-by":"crossref","first-page":"2234","DOI":"10.1109\/TMC.2015.2485978","article-title":"Incentive mechanism design for heterogeneous crowdsourcing using all-pay contests","volume":"15","author":"Luo","year":"2015","journal-title":"IEEE Trans. Mob. Comput."},{"key":"10.1016\/j.pmcj.2017.02.009_br000055","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1145\/2837029","article-title":"Incentive mechanism design for crowdsourcing: An all-pay auction approach","volume":"7","author":"Luo","year":"2016","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"10.1016\/j.pmcj.2017.02.009_br000060","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1007\/s00779-016-0932-x","article-title":"Comprehensive tempo-spatial data collection in crowd sensing using a heterogeneous sensing vehicle selection method","volume":"20","author":"Liu","year":"2016","journal-title":"Pers. Ubiquitous Comput."},{"key":"10.1016\/j.pmcj.2017.02.009_br000065","series-title":"2014 IEEE International Conference on Pervasive Computing and Communications Workshops","first-page":"593","article-title":"From participatory sensing to mobile crowd sensing","author":"Guo","year":"2014"},{"key":"10.1016\/j.pmcj.2017.02.009_br000070","doi-asserted-by":"crossref","first-page":"1983","DOI":"10.1109\/TPDS.2012.216","article-title":"Does wireless sensor network scale? a measurement study on greenorbs","volume":"24","author":"Liu","year":"2013","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"10.1016\/j.pmcj.2017.02.009_br000075","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1109\/MCOM.2014.6871666","article-title":"Opportunities in mobile crowd sensing","volume":"52","author":"Ma","year":"2014","journal-title":"IEEE Commun. Mag."},{"key":"10.1016\/j.pmcj.2017.02.009_br000080","series-title":"Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","first-page":"1436","article-title":"U-air: when urban air quality inference meets big data","author":"Zheng","year":"2013"},{"key":"10.1016\/j.pmcj.2017.02.009_br000085","doi-asserted-by":"crossref","first-page":"2020","DOI":"10.1109\/TMC.2014.2385097","article-title":"Fliermeet: a mobile crowdsensing system for cross-space public information reposting, tagging, and sharing","volume":"14","author":"Guo","year":"2015","journal-title":"IEEE Trans. Mob. Comput."},{"key":"10.1016\/j.pmcj.2017.02.009_br000090","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1109\/TITS.2010.2074196","article-title":"Real-time urban monitoring using cell phones: A case study in rome","volume":"12","author":"Calabrese","year":"2011","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"10.1016\/j.pmcj.2017.02.009_br000095","series-title":"2012 IEEE International Conference on Pervasive Computing and Communications","first-page":"103","article-title":"A location-based incentive mechanism for participatory sensing systems with budget constraints","author":"Jaimes","year":"2012"},{"key":"10.1016\/j.pmcj.2017.02.009_br000100","series-title":"Complexity of Computer Computations","first-page":"85","article-title":"Reducibility among combinatorial problems","author":"Karp","year":"1972"},{"key":"10.1016\/j.pmcj.2017.02.009_br000105","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1007\/BF01588971","article-title":"An analysis of approximations for maximizing submodular set functionsi","volume":"14","author":"Nemhauser","year":"1978","journal-title":"Math. Program."},{"key":"10.1016\/j.pmcj.2017.02.009_br000110","doi-asserted-by":"crossref","first-page":"1384","DOI":"10.1137\/130929205","article-title":"A tight linear time (1\/2)-approximation for unconstrained submodular maximization","volume":"44","author":"Buchbinder","year":"2015","journal-title":"SIAM J. Comput."},{"key":"10.1016\/j.pmcj.2017.02.009_br000115","unstructured":"Suvnet-trace data, 2016. http:\/\/wirelesslab.sjtu.edu.cn\/taxi_trace_data.html."},{"key":"10.1016\/j.pmcj.2017.02.009_br000120","series-title":"INFOCOM\u201999. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE, Vol. 3","first-page":"1377","article-title":"Predictive distance-based mobility management for pcs networks","author":"Liang","year":"1999"},{"key":"10.1016\/j.pmcj.2017.02.009_br000125","first-page":"8","article-title":"Submodular function maximization","volume":"3","author":"Krause","year":"2012","journal-title":"Tractability: Pract. Approach. Hard Probl."},{"key":"10.1016\/j.pmcj.2017.02.009_br000130","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.comnet.2014.07.013","article-title":"Fairness and social welfare in service allocation schemes for participatory sensing","volume":"73","author":"Tham","year":"2014","journal-title":"Comput. Netw."}],"container-title":["Pervasive and Mobile Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1574119216303959?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1574119216303959?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2018,9,3]],"date-time":"2018-09-03T16:52:16Z","timestamp":1535993536000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1574119216303959"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7]]},"references-count":26,"alternative-id":["S1574119216303959"],"URL":"https:\/\/doi.org\/10.1016\/j.pmcj.2017.02.009","relation":{},"ISSN":["1574-1192"],"issn-type":[{"value":"1574-1192","type":"print"}],"subject":[],"published":{"date-parts":[[2017,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Fast participant recruitment algorithm for large-scale Vehicle-based Mobile Crowd Sensing","name":"articletitle","label":"Article Title"},{"value":"Pervasive and Mobile Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.pmcj.2017.02.009","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2017 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}