{"id":"https://openalex.org/W4290996561","doi":"https://doi.org/10.1109/icc45855.2022.9838735","title":"Cluster based Online Task Assignment for Mobile Crowdsensing","display_name":"Cluster based Online Task Assignment for Mobile Crowdsensing","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4290996561","doi":"https://doi.org/10.1109/icc45855.2022.9838735"},"language":"en","primary_location":{"id":"doi:10.1109/icc45855.2022.9838735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838735","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","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":"ICC 2022 - IEEE International Conference on Communications","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/A5101714620","display_name":"Haodong Yang","orcid":"https://orcid.org/0000-0002-5893-1364"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haodong Yang","raw_affiliation_strings":["University of Chinese Academy of Sciences,Research Center of Ubiquitous Sensor Networks,Beijing,China,100049"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,Research Center of Ubiquitous Sensor Networks,Beijing,China,100049","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057744472","display_name":"Shuo Peng","orcid":"https://orcid.org/0000-0001-8873-6327"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Peng","raw_affiliation_strings":["University of Chinese Academy of Sciences,Research Center of Ubiquitous Sensor Networks,Beijing,China,100049"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,Research Center of Ubiquitous Sensor Networks,Beijing,China,100049","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zheng Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Yao","raw_affiliation_strings":["University of Chinese Academy of Sciences,Research Center of Ubiquitous Sensor Networks,Beijing,China,100049"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,Research Center of Ubiquitous Sensor Networks,Beijing,China,100049","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076786933","display_name":"Baoxian Zhang","orcid":"https://orcid.org/0000-0001-9140-6898"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoxian Zhang","raw_affiliation_strings":["University of Chinese Academy of Sciences,Research Center of Ubiquitous Sensor Networks,Beijing,China,100049"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,Research Center of Ubiquitous Sensor Networks,Beijing,China,100049","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100354297","display_name":"Cheng Li","orcid":"https://orcid.org/0000-0003-3424-2414"},"institutions":[{"id":"https://openalex.org/I130438778","display_name":"Memorial University of Newfoundland","ror":"https://ror.org/04haebc03","country_code":"CA","type":"education","lineage":["https://openalex.org/I130438778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Cheng Li","raw_affiliation_strings":["Memorial University,Department of Electrical and Computer Engineering,St. John’s,Canada,NL A1B 3X5"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Memorial University,Department of Electrical and Computer Engineering,St. John’s,Canada,NL A1B 3X5","institution_ids":["https://openalex.org/I130438778"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2389,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.40432099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"5280","last_page":"5285"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.8461194634437561},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7850306034088135},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5338078141212463},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4917152225971222},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.48830103874206543},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4353395104408264},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.43295639753341675},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3777923882007599},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.35039424896240234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26326853036880493},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23726427555084229},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08467820286750793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8461194634437561},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7850306034088135},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5338078141212463},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4917152225971222},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.48830103874206543},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4353395104408264},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.43295639753341675},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3777923882007599},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.35039424896240234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26326853036880493},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23726427555084229},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08467820286750793},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc45855.2022.9838735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838735","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","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":"ICC 2022 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320330944","display_name":"Nature","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1597217844","https://openalex.org/W2035309464","https://openalex.org/W2087191962","https://openalex.org/W2121454265","https://openalex.org/W2122887675","https://openalex.org/W2133255965","https://openalex.org/W2135365254","https://openalex.org/W2157793635","https://openalex.org/W2181907826","https://openalex.org/W2495515310","https://openalex.org/W2531799639","https://openalex.org/W2536587200","https://openalex.org/W2604253054","https://openalex.org/W2606771750","https://openalex.org/W2792069394","https://openalex.org/W2902607104","https://openalex.org/W3164329692","https://openalex.org/W6678427338","https://openalex.org/W6679985502","https://openalex.org/W6685915474"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W4298130764"],"abstract_inverted_index":{"Mobile":[0],"crowdsensing":[1,23],"has":[2],"become":[3],"a":[4,44,48,96],"promising":[5],"sensing":[6],"paradigm":[7],"with":[8,193],"the":[9,40,59,79,86,114,129,134,156,162,171],"popularization":[10],"of":[11,54,82,175],"mobile":[12,22],"devices.":[13],"In":[14,71],"this":[15,72,92],"paper,":[16,73],"we":[17,74,94],"focus":[18],"on":[19,125],"an":[20,36],"opportunistic":[21,37],"scenario":[24],"where":[25],"there":[26],"are":[27,167],"multiple":[28],"task":[29,45,64,87,103,122,130,135,146,151],"requesters":[30,84,131],"and":[31,61,132,155],"users,":[32],"who":[33],"move":[34],"in":[35,39],"way":[38],"target":[41],"environment.":[42],"When":[43],"requester":[46],"encounters":[47],"user,":[49],"he":[50],"can":[51,187],"assign":[52],"some":[53],"his":[55],"held":[56],"tasks":[57,166],"to":[58,77,128],"user":[60,159],"receive":[62],"corresponding":[63],"results":[65,183],"when":[66],"they":[67],"re-encounter":[68],"sometime":[69],"later.":[70],"study":[75],"how":[76],"minimize":[78],"largest":[80,99,150],"makespan":[81,100],"all":[83,165],"for":[85,120],"result":[88],"collections.":[89],"To":[90],"address":[91],"issue,":[93],"propose":[95],"cluster":[97],"based":[98,124],"sensitive":[101],"online":[102],"assignment":[104,147],"(C-LOTA)":[105],"algorithm.":[106],"C-LOTA":[107,140,186],"first":[108,157],"performs":[109,143],"two-phase":[110],"clustering":[111],"which":[112],"clusters":[113],"users":[115],"into":[116],"different":[117,138],"clusters,":[118],"one":[119],"each":[121],"requester,":[123],"their":[126],"relativeness":[127],"also":[133],"workloads":[136],"at":[137],"requesters.":[139],"then":[141],"iteratively":[142],"greedy":[144],"intra-cluster":[145],"such":[148],"that":[149,185],"is":[152],"firstly":[153],"assigned":[154],"idle":[158],"always":[160],"takes":[161],"task,":[163],"until":[164],"assigned.":[168],"We":[169,177],"present":[170],"detailed":[172],"algorithm":[173],"design":[174],"C-LOTA.":[176],"deduce":[178],"its":[179],"computation":[180],"complexity.":[181],"Simulation":[182],"show":[184],"achieve":[188],"much":[189],"better":[190],"performance":[191],"compared":[192],"existing":[194],"work.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}