{"id":"https://openalex.org/W2782594142","doi":"https://doi.org/10.1109/glocom.2017.8254592","title":"Bandit User Selection Algorithm for Budgeted and Time-Limited Mobile Crowdsensing","display_name":"Bandit User Selection Algorithm for Budgeted and Time-Limited Mobile Crowdsensing","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2782594142","doi":"https://doi.org/10.1109/glocom.2017.8254592","mag":"2782594142"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2017.8254592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2017.8254592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2017 - 2017 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/A5022200545","display_name":"Shuo Yang","orcid":"https://orcid.org/0000-0001-7106-9169"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuo Yang","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020408153","display_name":"Xiaotian Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotian Qi","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059190563","display_name":"Fan Wu","orcid":"https://orcid.org/0000-0003-0965-9058"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Wu","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019439900","display_name":"Xiaofeng Gao","orcid":"https://orcid.org/0000-0003-1776-8799"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Gao","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100428808","display_name":"Guihai Chen","orcid":"https://orcid.org/0000-0002-6934-1685"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guihai Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5022200545"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.3762,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74102069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9997000098228455,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.8866525888442993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7842543125152588},{"id":"https://openalex.org/keywords/crowdsensing","display_name":"Crowdsensing","score":0.7640647888183594},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.7129950523376465},{"id":"https://openalex.org/keywords/selection-algorithm","display_name":"Selection algorithm","score":0.5625097751617432},{"id":"https://openalex.org/keywords/multi-armed-bandit","display_name":"Multi-armed bandit","score":0.48431840538978577},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4404586851596832},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.432680606842041},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42341938614845276},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3314761817455292},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23636162281036377},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0785503089427948},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.06979310512542725}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8866525888442993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7842543125152588},{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.7640647888183594},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7129950523376465},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.5625097751617432},{"id":"https://openalex.org/C123197309","wikidata":"https://www.wikidata.org/wiki/Q2882343","display_name":"Multi-armed bandit","level":3,"score":0.48431840538978577},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4404586851596832},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.432680606842041},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42341938614845276},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3314761817455292},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23636162281036377},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0785503089427948},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.06979310512542725},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2017.8254592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2017.8254592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2017 - 2017 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1850547517","https://openalex.org/W1970756365","https://openalex.org/W1998498767","https://openalex.org/W2029396991","https://openalex.org/W2039259150","https://openalex.org/W2049934117","https://openalex.org/W2115056380","https://openalex.org/W2117521099","https://openalex.org/W2137100320","https://openalex.org/W2150638405","https://openalex.org/W2167603139","https://openalex.org/W2168405694","https://openalex.org/W2237158255","https://openalex.org/W2538733971","https://openalex.org/W2573607665","https://openalex.org/W2593133890","https://openalex.org/W2950303912","https://openalex.org/W2950929549","https://openalex.org/W2964125852","https://openalex.org/W3011969122","https://openalex.org/W4237910115","https://openalex.org/W6638804227","https://openalex.org/W6677593936","https://openalex.org/W6690168418","https://openalex.org/W6728800042","https://openalex.org/W6732044312"],"related_works":["https://openalex.org/W4289341771","https://openalex.org/W3114769327","https://openalex.org/W3191284239","https://openalex.org/W2996787464","https://openalex.org/W2958076322","https://openalex.org/W2964268945","https://openalex.org/W2619553246","https://openalex.org/W4294988689","https://openalex.org/W3174419385","https://openalex.org/W2782594142"],"abstract_inverted_index":{"Due":[0],"to":[1,18,30,36,38,44,74,124,163],"the":[2,46,59,66,77,101,142],"rapid":[3],"proliferation":[4],"of":[5,22,72,104],"mobile":[6,8,33],"devices,":[7],"crowdsensing":[9,28],"(MCS)":[10],"has":[11],"become":[12],"a":[13,52,64,70,90,115,147,165],"novel":[14],"and":[15,55,80,107,117,128,161],"effective":[16,131],"approach":[17],"collect":[19],"large":[20],"amounts":[21],"data.":[23],"A":[24],"critical":[25],"problem":[26],"in":[27,42],"is":[29,68],"decide":[31],"which":[32],"device":[34],"users":[35],"select":[37],"perform":[39],"sensing":[40],"tasks,":[41],"order":[43],"maximize":[45],"platform's":[47],"total":[48],"obtained":[49],"utility,":[50],"within":[51],"fixed":[53,105],"budget":[54,106,160],"limited":[56,108],"time.":[57,109],"Since":[58],"users'":[60,78],"utilities":[61,79],"are":[62],"unknown":[63],"priori,":[65],"platform":[67],"facing":[69],"challenge":[71],"how":[73],"effectively":[75,99,158],"learn":[76],"make":[81],"optimal":[82],"user":[83,133],"selection":[84,134],"decisions.":[85],"Previous":[86],"works":[87],"usually":[88],"considered":[89],"budgeted":[91],"multi-armed":[92],"bandit":[93],"(MAB)":[94],"approaches,":[95],"but":[96],"they":[97],"cannot":[98],"address":[100],"joint":[102],"constraints":[103],"In":[110],"this":[111,126],"paper,":[112],"we":[113],"build":[114],"Budgeted":[116],"Time-Limited":[118],"Combinatorial":[119],"Multi-Armed":[120],"Bandit":[121],"(BT-CMAB)":[122],"model":[123],"tackle":[125],"problem,":[127],"propose":[129],"an":[130],"UCB-based":[132],"algorithm,":[135],"namely":[136],"BT-":[137],"CUCB.":[138],"We":[139],"prove":[140],"that":[141,154],"BT-CUCB":[143],"algorithm":[144,157],"can":[145],"achieve":[146,164],"zero":[148],"beta-regret.":[149],"The":[150],"evaluation":[151],"results":[152],"show":[153],"our":[155],"proposed":[156],"utilize":[159],"time":[162],"low":[166],"regret.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
