{"id":"https://openalex.org/W3047082184","doi":"https://doi.org/10.1109/percomworkshops48775.2020.9156268","title":"In-network Collaborative Mobile Crowdsensing","display_name":"In-network Collaborative Mobile Crowdsensing","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3047082184","doi":"https://doi.org/10.1109/percomworkshops48775.2020.9156268","mag":"3047082184"},"language":"en","primary_location":{"id":"doi:10.1109/percomworkshops48775.2020.9156268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops48775.2020.9156268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5054820953","display_name":"Yifan Du","orcid":"https://orcid.org/0000-0002-6823-2719"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yifan Du","raw_affiliation_strings":["Inria Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria Paris, France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074261078","display_name":"Val\u00e9rie Issarny","orcid":"https://orcid.org/0000-0003-2404-0907"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Valerie Issarny","raw_affiliation_strings":["Inria Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria Paris, France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109468632","display_name":"Franeoise Sailhan","orcid":null},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Franeoise Sailhan","raw_affiliation_strings":["Inria Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria Paris, France","institution_ids":["https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1326498283"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9970999956130981,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8511704206466675},{"id":"https://openalex.org/keywords/crowdsensing","display_name":"Crowdsensing","score":0.7835553288459778},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6547470688819885},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6433500647544861},{"id":"https://openalex.org/keywords/middleware","display_name":"Middleware (distributed applications)","score":0.6209462285041809},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6201863288879395},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5610983371734619},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5201188325881958},{"id":"https://openalex.org/keywords/context-awareness","display_name":"Context awareness","score":0.5041035413742065},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4526621103286743},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.44398367404937744},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4376915991306305},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.4362007677555084},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.426751047372818},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4169517457485199},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.23987337946891785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15847134590148926}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8511704206466675},{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.7835553288459778},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6547470688819885},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6433500647544861},{"id":"https://openalex.org/C169468491","wikidata":"https://www.wikidata.org/wiki/Q146923","display_name":"Middleware (distributed applications)","level":2,"score":0.6209462285041809},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6201863288879395},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5610983371734619},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5201188325881958},{"id":"https://openalex.org/C2781368080","wikidata":"https://www.wikidata.org/wiki/Q501688","display_name":"Context awareness","level":3,"score":0.5041035413742065},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4526621103286743},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.44398367404937744},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4376915991306305},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.4362007677555084},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.426751047372818},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4169517457485199},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.23987337946891785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15847134590148926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/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":2,"locations":[{"id":"doi:10.1109/percomworkshops48775.2020.9156268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops48775.2020.9156268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02463611v1","is_oa":false,"landing_page_url":"https://hal.science/hal-02463611","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PerCom PhD Forum 2020: IEEE International Conference on Pervasive Computing and Communications PhD Forum, Mar 2020, Austin / Virtual, United States. ⟨10.1109/PerComWorkshops48775.2020.9156268⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1994500462","https://openalex.org/W2768165081","https://openalex.org/W2905515997","https://openalex.org/W2934566205","https://openalex.org/W2966186413","https://openalex.org/W3003939868","https://openalex.org/W6757753761"],"related_works":["https://openalex.org/W2800519682","https://openalex.org/W290743017","https://openalex.org/W2050440118","https://openalex.org/W208611026","https://openalex.org/W1540201930","https://openalex.org/W2064013609","https://openalex.org/W2116724877","https://openalex.org/W33521928","https://openalex.org/W4241771464","https://openalex.org/W1973161140"],"abstract_inverted_index":{"Our":[0],"work":[1],"aims":[2],"to":[3,90,101,118,123],"make":[4],"opportunistic":[5],"crowdsensing":[6],"a":[7,15,43,66],"reliable":[8],"means":[9],"of":[10,17,36,68,83,99],"detecting":[11],"urban":[12],"phenomena,":[13],"as":[14,89],"component":[16],"smart":[18],"city":[19],"development.":[20],"We":[21,40],"believe":[22],"that":[23,47,70],"the":[24,33,50,56,84,92,103,116,120,124],"optimal":[25],"method":[26],"for":[27],"achieving":[28],"this":[29,59],"is":[30],"by":[31,78],"enforcing":[32],"cost-effective":[34],"collection":[35],"high":[37],"quality":[38,109],"data.":[39],"then":[41],"investigate":[42],"supporting":[44],"middleware":[45],"solution":[46],"reduces":[48],"both":[49],"network":[51],"traffic":[52],"and":[53,105,111],"computation":[54],"at":[55,115],"cloud.":[57,125],"To":[58],"end,":[60],"our":[61],"research":[62],"focuses":[63],"on":[64],"defining":[65],"set":[67],"protocols":[69],"together":[71],"implement":[72],"\u201ccontext-aware":[73],"in-network":[74],"collaborative":[75],"mobile":[76],"crowdsensing\u201d":[77],"combining:":[79],"(i)":[80],"The":[81,96],"inference":[82],"crowdsensors'":[85],"physical":[86],"context":[87],"so":[88],"characterize":[91],"gathered":[93],"data;":[94,110],"(ii)":[95],"context-aware":[97],"grouping":[98],"crowdsensors":[100],"share":[102],"workload":[104],"filter":[106],"out":[107],"low":[108],"(iii)":[112],"Data":[113],"aggregation":[114],"edge":[117],"enhance":[119],"knowledge":[121],"transferred":[122]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}