{"id":"https://openalex.org/W2535723296","doi":"https://doi.org/10.1109/iwqos.2016.7590450","title":"Enhancing participant selection through caching in mobile crowd sensing","display_name":"Enhancing participant selection through caching in mobile crowd sensing","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2535723296","doi":"https://doi.org/10.1109/iwqos.2016.7590450","mag":"2535723296"},"language":"en","primary_location":{"id":"doi:10.1109/iwqos.2016.7590450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos.2016.7590450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/ACM 24th International Symposium on Quality of Service (IWQoS)","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/A5018244743","display_name":"Hanshang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hanshang Li","raw_affiliation_strings":["Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416877","display_name":"Ting Li","orcid":"https://orcid.org/0000-0002-4678-0060"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ting Li","raw_affiliation_strings":["Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373560","display_name":"Fan Li","orcid":"https://orcid.org/0000-0002-2348-4488"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]},{"id":"https://openalex.org/I4210139765","display_name":"Beijing Computing Center","ror":"https://ror.org/047r47y76","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210139765"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Fan Li","raw_affiliation_strings":["Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications, Beijing, China","Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC, USA"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications, Beijing, China","institution_ids":["https://openalex.org/I4210139765"]},{"raw_affiliation_string":"Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110551419","display_name":"Weichao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weichao Wang","raw_affiliation_strings":["School of Computer Science, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101663436","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0002-6648-0583"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5018244743"],"corresponding_institution_ids":["https://openalex.org/I102149020"],"apc_list":null,"apc_paid":null,"fwci":9.1072,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.97449956,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998000264167786,"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":0.9998000264167786,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9918000102043152,"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":0.8363286256790161},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5533245205879211},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5505967140197754},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5378313660621643},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5185521245002747},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.49837660789489746},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.46903547644615173},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4040306508541107},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3319220542907715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2500723600387573},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15618178248405457},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.13860198855400085},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.134456604719162}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8363286256790161},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5533245205879211},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5505967140197754},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5378313660621643},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5185521245002747},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.49837660789489746},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.46903547644615173},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4040306508541107},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3319220542907715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2500723600387573},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15618178248405457},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.13860198855400085},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.134456604719162},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwqos.2016.7590450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos.2016.7590450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/ACM 24th International Symposium on Quality of Service (IWQoS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1525809409","https://openalex.org/W1578473173","https://openalex.org/W1847021230","https://openalex.org/W1964850191","https://openalex.org/W1976133176","https://openalex.org/W1977093441","https://openalex.org/W1978690967","https://openalex.org/W1984206720","https://openalex.org/W1994500462","https://openalex.org/W2006974280","https://openalex.org/W2013598124","https://openalex.org/W2026414543","https://openalex.org/W2031657355","https://openalex.org/W2044061380","https://openalex.org/W2057301737","https://openalex.org/W2101637528","https://openalex.org/W2127347346","https://openalex.org/W2127963147","https://openalex.org/W2248864398","https://openalex.org/W2332993878","https://openalex.org/W4294177484","https://openalex.org/W6634516926","https://openalex.org/W6638949647"],"related_works":["https://openalex.org/W3034529322","https://openalex.org/W2152099439","https://openalex.org/W2115913271","https://openalex.org/W2113597336","https://openalex.org/W2155505549","https://openalex.org/W2357479218","https://openalex.org/W1819546284","https://openalex.org/W1984163603","https://openalex.org/W2043253324","https://openalex.org/W2018648706"],"abstract_inverted_index":{"With":[0],"the":[1,28,42,48,54,73,86],"rapid":[2],"increasing":[3],"of":[4,27,31,45,60,88],"smart":[5],"phones":[6],"and":[7,56,102],"their":[8],"embedded":[9],"sensing":[10,14,19,24,35,75,80],"technologies,":[11],"mobile":[12,33,111],"crowd":[13,34],"(MCS)":[15],"becomes":[16],"an":[17],"emerging":[18],"paradigm":[20],"for":[21],"performing":[22],"large-scale":[23,32],"tasks.":[25],"One":[26],"key":[29],"challenges":[30],"systems":[36],"is":[37],"how":[38],"to":[39,52,77,84],"effectively":[40],"select":[41],"minimum":[43],"set":[44],"participants":[46],"from":[47],"huge":[49],"user":[50],"pool":[51],"perform":[53],"tasks":[55,81],"achieve":[57],"certain":[58],"level":[59],"coverage.":[61],"In":[62],"this":[63],"paper,":[64],"we":[65],"introduce":[66],"a":[67,94,109],"new":[68],"MCS":[69],"architecture":[70],"which":[71],"leverages":[72],"cached":[74],"data":[76],"fulfill":[78],"partial":[79],"in":[82],"order":[83],"reduce":[85],"size":[87],"selected":[89],"participant":[90,97],"set.":[91],"We":[92],"present":[93],"newly":[95],"designed":[96],"selection":[98],"algorithm":[99],"with":[100,108],"caching":[101],"evaluate":[103],"it":[104],"via":[105],"extensive":[106],"simulations":[107],"real-world":[110],"dataset.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}