{"id":"https://openalex.org/W4315630048","doi":"https://doi.org/10.1109/globecom48099.2022.10001646","title":"Contextual Budget-limited Online Incentives for Lipschitz Sensing Tasks","display_name":"Contextual Budget-limited Online Incentives for Lipschitz Sensing Tasks","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4315630048","doi":"https://doi.org/10.1109/globecom48099.2022.10001646"},"language":"en","primary_location":{"id":"doi:10.1109/globecom48099.2022.10001646","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/globecom48099.2022.10001646","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014529879","display_name":"Jiajun Sun","orcid":"https://orcid.org/0000-0003-2014-6915"},"institutions":[{"id":"https://openalex.org/I4210147117","display_name":"Huaiyin Normal University","ror":"https://ror.org/03xvggv44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210147117"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiajun Sun","raw_affiliation_strings":["College of Computer Science and Technology, Huaiyin Normal Universiy,Huaian,China,223300"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaiyin Normal Universiy,Huaian,China,223300","institution_ids":["https://openalex.org/I4210147117"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5014529879"],"corresponding_institution_ids":["https://openalex.org/I4210147117"],"apc_list":null,"apc_paid":null,"fwci":0.713,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6899529,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4340","last_page":"4345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.7983183860778809},{"id":"https://openalex.org/keywords/participatory-sensing","display_name":"Participatory sensing","score":0.7607249617576599},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7560634016990662},{"id":"https://openalex.org/keywords/bidding","display_name":"Bidding","score":0.6891855001449585},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.5105968117713928},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34389087557792664},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.30773070454597473},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.26741939783096313},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.15079501271247864},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.10115709900856018}],"concepts":[{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.7983183860778809},{"id":"https://openalex.org/C2779208394","wikidata":"https://www.wikidata.org/wiki/Q7140460","display_name":"Participatory sensing","level":2,"score":0.7607249617576599},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7560634016990662},{"id":"https://openalex.org/C9233905","wikidata":"https://www.wikidata.org/wiki/Q3276328","display_name":"Bidding","level":2,"score":0.6891855001449585},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5105968117713928},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34389087557792664},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.30773070454597473},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.26741939783096313},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.15079501271247864},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.10115709900856018}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom48099.2022.10001646","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/globecom48099.2022.10001646","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1521084402","https://openalex.org/W2144007493","https://openalex.org/W2161509455","https://openalex.org/W2251049298","https://openalex.org/W2342945106","https://openalex.org/W2596597071","https://openalex.org/W2740158290","https://openalex.org/W2891770741","https://openalex.org/W3119709019","https://openalex.org/W3122960105","https://openalex.org/W3175901868","https://openalex.org/W4294413807","https://openalex.org/W4308288560","https://openalex.org/W6692366259","https://openalex.org/W6754899852","https://openalex.org/W6758675530","https://openalex.org/W6788480109","https://openalex.org/W6797589834"],"related_works":["https://openalex.org/W2355561715","https://openalex.org/W2355326491","https://openalex.org/W2389286292","https://openalex.org/W2360751371","https://openalex.org/W2387920521","https://openalex.org/W2389754756","https://openalex.org/W2382224273","https://openalex.org/W2373538886","https://openalex.org/W2360290312","https://openalex.org/W2369836678"],"abstract_inverted_index":{"Recently,":[0],"mobile":[1,67],"crowdsensing":[2,101],"(MCS)":[3],"has":[4],"received":[5],"extensive":[6,133],"attentions":[7],"from":[8],"the":[9,27,35,39,51,88,104,108,113,138],"single-request":[10],"scenes":[11,14],"to":[12,15,70],"multi-request":[13],"solve":[16],"complex":[17],"sensing":[18,62,78,105],"tasks.":[19],"However,":[20],"these":[21,75],"existing":[22],"works":[23],"mainly":[24],"focus":[25],"on":[26,50],"issues":[28],"of":[29,64,116,130,140],"traditional":[30],"pricing":[31,98],"incentives,":[32],"no":[33],"matter":[34],"bidding":[36],"incentives":[37],"or":[38],"posted-pricing":[40],"incentives.":[41],"In":[42],"practice,":[43],"users<sup>,</sup>contextual":[44],"features":[45,115],"have":[46],"an":[47],"impor-tant":[48],"impact":[49],"incentive":[52],"issues,":[53],"such":[54],"as":[55],"participatory":[56],"user's":[57],"personal":[58,76],"information,":[59,77],"different":[60],"past":[61],"demands":[63,79],"allocated":[65],"tasks,":[66],"devices<sup>,</sup>costs":[68],"used":[69],"participating":[71],"sensing,":[72],"etc.":[73],"Moreover,":[74],"and":[80],"costs":[81],"may":[82],"vary":[83],"with":[84],"time":[85],"progress.":[86],"To":[87],"end,":[89],"in":[90],"this":[91],"paper":[92],"we":[93,135],"propose":[94],"two":[95],"contextual":[96,114],"budget-limited":[97],"mechanisms":[99,126],"for":[100,112],"applications,":[102],"where":[103],"tasks":[106],"satisfy":[107,127],"Lipschitz":[109],"cost":[110],"function":[111],"arrival":[117],"users.":[118],"What's":[119],"more,":[120],"performance":[121,139],"analysis":[122],"show":[123],"that":[124],"our":[125,141],"basic":[128],"properties":[129],"crowdsensing.":[131],"Through":[132],"simulations,":[134],"also":[136],"evaluate":[137],"proposed":[142],"mechanisms.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
