{"id":"https://openalex.org/W4205749526","doi":"https://doi.org/10.1109/tnet.2022.3141069","title":"Privacy-Aware Participant Recruitment in Opportunistic Device to Device Networks","display_name":"Privacy-Aware Participant Recruitment in Opportunistic Device to Device Networks","publication_year":2022,"publication_date":"2022-01-17","ids":{"openalex":"https://openalex.org/W4205749526","doi":"https://doi.org/10.1109/tnet.2022.3141069"},"language":"en","primary_location":{"id":"doi:10.1109/tnet.2022.3141069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2022.3141069","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Networking","raw_type":"journal-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/A5013728473","display_name":"Yanyan Han","orcid":"https://orcid.org/0000-0003-0147-0525"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanyan Han","raw_affiliation_strings":["Google, Mountain View, CA, USA","Center for Advanced Computer Studies, University of Louisiana at Lafayette, Lafayette, LA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0147-0525","affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Center for Advanced Computer Studies, University of Louisiana at Lafayette, Lafayette, LA, USA","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101816294","display_name":"Hongyi Wu","orcid":"https://orcid.org/0000-0002-6112-9313"},"institutions":[{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongyi Wu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, USA","institution_ids":["https://openalex.org/I81365321"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.021,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.80987325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"30","issue":"3","first_page":"1340","last_page":"1351"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9986000061035156,"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":0.8757562041282654},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.8622279763221741},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.6114157438278198},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6005381941795349},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5023138523101807},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.4492173194885254},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4488879442214966},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.44762206077575684},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4248031973838806},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35462382435798645},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.31331226229667664},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12155604362487793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8757562041282654},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.8622279763221741},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.6114157438278198},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6005381941795349},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5023138523101807},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.4492173194885254},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4488879442214966},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.44762206077575684},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4248031973838806},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35462382435798645},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.31331226229667664},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12155604362487793},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnet.2022.3141069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2022.3141069","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2956052448","display_name":null,"funder_award_id":"CNS-1528004","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W104209573","https://openalex.org/W1486008480","https://openalex.org/W1529158540","https://openalex.org/W1601808502","https://openalex.org/W1965396227","https://openalex.org/W1975409019","https://openalex.org/W2029396991","https://openalex.org/W2039922069","https://openalex.org/W2044256450","https://openalex.org/W2054937753","https://openalex.org/W2084554207","https://openalex.org/W2112316694","https://openalex.org/W2120826095","https://openalex.org/W2134167315","https://openalex.org/W2146697949","https://openalex.org/W2149978078","https://openalex.org/W2162652562","https://openalex.org/W2226173891","https://openalex.org/W2280159434","https://openalex.org/W2345856471","https://openalex.org/W2467851685","https://openalex.org/W2474250966","https://openalex.org/W2479818511","https://openalex.org/W2499215323","https://openalex.org/W2510347793","https://openalex.org/W2611877607","https://openalex.org/W2735273755","https://openalex.org/W2742348149","https://openalex.org/W2752061190","https://openalex.org/W2775562353","https://openalex.org/W2783225074","https://openalex.org/W2942223872","https://openalex.org/W3102927586","https://openalex.org/W3162828249","https://openalex.org/W4240374930"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W4384486036","https://openalex.org/W135177976","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W3207526114","https://openalex.org/W1490650877"],"abstract_inverted_index":{"In":[0],"most":[1],"of":[2,56,176],"the":[3,14,21,28,54,61,71,76,83,91,100,105,118,136,142,174,177],"existing":[4,110],"mobile":[5],"applications":[6],"for":[7,155,161,184],"data":[8,11,57],"collection":[9],"and":[10,49,107,111,149,164,180],"analytics,":[12],"either":[13],"privacy":[15,22,34,47,78],"issue":[16],"is":[17,79,86],"frequently":[18],"neglected":[19],"or":[20],"options":[23],"are":[24,41],"not":[25,74],"configurable":[26,33],"by":[27,36,103],"participants.":[29],"This":[30],"paper":[31],"proposes":[32],"level":[35,48],"potential":[37],"crowdsourcing":[38],"participants":[39,113],"who":[40],"able":[42],"to":[43,60,65,116,134],"choose":[44],"their":[45],"desirable":[46],"get":[50],"paid":[51],"based":[52,189],"on":[53,130],"quality":[55],"they":[58],"provide":[59],"originator":[62],"in":[63,114,145,187],"Device":[64,66],"network":[67],"(D2D).":[68],"Combining":[69],"with":[70],"encryption":[72,84],"technique,":[73],"only":[75],"user\u2019s":[77],"protected,":[80],"but":[81],"also":[82],"complexity":[85],"reduced.":[87],"We":[88,140],"first":[89],"formulate":[90],"participant":[92],"recruitment":[93,138],"process":[94],"into":[95],"an":[96],"optimization":[97],"problem":[98],"from":[99],"participants\u2019":[101,131],"perspective":[102],"considering":[104],"competition":[106],"collaboration":[108],"among":[109],"candidate":[112],"order":[115],"achieve":[117],"best":[119],"utility.":[120],"Then":[121],"we":[122],"design":[123],"a":[124,152],"distributed":[125],"approximate":[126,143],"scheme":[127],"that":[128],"relies":[129],"local":[132],"knowledge":[133],"complete":[135],"overall":[137],"task.":[139],"implement":[141],"approach":[144],"Dell":[146],"Streak":[147],"tablets":[148],"carry":[150],"out":[151],"campus-scale":[153],"experiment":[154],"21":[156],"days,":[157],"plus":[158],"run":[159],"simulations":[160],"more":[162],"extensive":[163],"detailed":[165],"evaluation":[166],"under":[167],"various":[168],"task":[169],"settings.":[170],"The":[171],"results":[172],"demonstrate":[173],"efficiency":[175],"proposed":[178],"approaches":[179],"disclose":[181],"valuable":[182],"insights":[183],"practical":[185],"considerations":[186],"D2D":[188],"crowdsourcing.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
