{"id":"https://openalex.org/W4308089095","doi":"https://doi.org/10.1109/secon55815.2022.9918610","title":"VoronoiBoost: Data-driven Probabilistic Spatial Mapping of Mobile Network Metadata","display_name":"VoronoiBoost: Data-driven Probabilistic Spatial Mapping of Mobile Network Metadata","publication_year":2022,"publication_date":"2022-09-20","ids":{"openalex":"https://openalex.org/W4308089095","doi":"https://doi.org/10.1109/secon55815.2022.9918610"},"language":"en","primary_location":{"id":"doi:10.1109/secon55815.2022.9918610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/secon55815.2022.9918610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 19th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","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/A5037756666","display_name":"Orlando E. Martinez-Durive","orcid":null},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]},{"id":"https://openalex.org/I2802499160","display_name":"IMDEA Networks","ror":"https://ror.org/04mm9fg30","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I2802499160"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Orlando E. Martinez-Durive","raw_affiliation_strings":["IMDEA Networks Institute,Spain","IMDEA Networks Institute, Spain","Universidad Carlos III de Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute,Spain","institution_ids":["https://openalex.org/I2802499160"]},{"raw_affiliation_string":"IMDEA Networks Institute, Spain","institution_ids":["https://openalex.org/I2802499160"]},{"raw_affiliation_string":"Universidad Carlos III de Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069619897","display_name":"Theo Couturieux","orcid":null},"institutions":[{"id":"https://openalex.org/I205747304","display_name":"Institut National Polytechnique de Toulouse","ror":"https://ror.org/033p9g875","country_code":"FR","type":"education","lineage":["https://openalex.org/I205747304","https://openalex.org/I4405258862"]},{"id":"https://openalex.org/I86175216","display_name":"\u00c9cole Nationale Sup\u00e9rieure de l'\u00c9lectronique et de ses Applications","ror":"https://ror.org/03qeacd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I86175216"]},{"id":"https://openalex.org/I4387153255","display_name":"\u00c9cole Nationale Sup\u00e9rieure d'\u00c9lectrotechnique, d'\u00c9lectronique, d'Informatique, d'Hydraulique et des T\u00e9l\u00e9communications","ror":"https://ror.org/05wfw4946","country_code":"FR","type":"education","lineage":["https://openalex.org/I205747304","https://openalex.org/I4387153255","https://openalex.org/I4405258862"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Theo Couturieux","raw_affiliation_strings":["INP-ENSEEIHT,France","INP-ENSEEIHT, France"],"affiliations":[{"raw_affiliation_string":"INP-ENSEEIHT,France","institution_ids":["https://openalex.org/I205747304","https://openalex.org/I86175216","https://openalex.org/I4387153255"]},{"raw_affiliation_string":"INP-ENSEEIHT, France","institution_ids":["https://openalex.org/I205747304","https://openalex.org/I4387153255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000245456","display_name":"Cezary Ziemlicki","orcid":"https://orcid.org/0009-0009-0450-1164"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Cezary Ziemlicki","raw_affiliation_strings":["Orange Innovation,France","Orange Innovation, France"],"affiliations":[{"raw_affiliation_string":"Orange Innovation,France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"Orange Innovation, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101842859","display_name":"Marco Fiore","orcid":"https://orcid.org/0000-0003-0102-2394"},"institutions":[{"id":"https://openalex.org/I2802499160","display_name":"IMDEA Networks","ror":"https://ror.org/04mm9fg30","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I2802499160"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Marco Fiore","raw_affiliation_strings":["IMDEA Networks Institute,Spain","IMDEA Networks Institute, Spain"],"affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute,Spain","institution_ids":["https://openalex.org/I2802499160"]},{"raw_affiliation_string":"IMDEA Networks Institute, Spain","institution_ids":["https://openalex.org/I2802499160"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037756666"],"corresponding_institution_ids":["https://openalex.org/I2802499160","https://openalex.org/I50357001"],"apc_list":null,"apc_paid":null,"fwci":0.8889,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77820668,"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":"100","last_page":"108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9921000003814697,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/voronoi-diagram","display_name":"Voronoi diagram","score":0.86409592628479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.778908371925354},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.6963833570480347},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6479585766792297},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5495336651802063},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.544788122177124},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.5338790416717529},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5132155418395996},{"id":"https://openalex.org/keywords/location-based-service","display_name":"Location-based service","score":0.4191965162754059},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17535045742988586},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16444674134254456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15495428442955017},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.10233303904533386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09971478581428528}],"concepts":[{"id":"https://openalex.org/C24881265","wikidata":"https://www.wikidata.org/wiki/Q757267","display_name":"Voronoi diagram","level":2,"score":0.86409592628479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.778908371925354},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.6963833570480347},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6479585766792297},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5495336651802063},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.544788122177124},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.5338790416717529},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5132155418395996},{"id":"https://openalex.org/C155292070","wikidata":"https://www.wikidata.org/wiki/Q1198122","display_name":"Location-based service","level":2,"score":0.4191965162754059},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17535045742988586},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16444674134254456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15495428442955017},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.10233303904533386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09971478581428528},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/secon55815.2022.9918610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/secon55815.2022.9918610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 19th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4699999988079071,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G6063362889","display_name":null,"funder_award_id":"2019-T1/TIC-16037","funder_id":"https://openalex.org/F4320313831","funder_display_name":"Comunidad de Madrid"}],"funders":[{"id":"https://openalex.org/F4320313831","display_name":"Comunidad de Madrid","ror":null},{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W170850033","https://openalex.org/W990722581","https://openalex.org/W1490921409","https://openalex.org/W1967005434","https://openalex.org/W1972859236","https://openalex.org/W1982300822","https://openalex.org/W2007022751","https://openalex.org/W2090650314","https://openalex.org/W2136163743","https://openalex.org/W2137558058","https://openalex.org/W2149963225","https://openalex.org/W2160806320","https://openalex.org/W2167617566","https://openalex.org/W2171183905","https://openalex.org/W2270782666","https://openalex.org/W2275165515","https://openalex.org/W2466762756","https://openalex.org/W2487770199","https://openalex.org/W2768661886","https://openalex.org/W2889816745","https://openalex.org/W2914533952","https://openalex.org/W3040621387","https://openalex.org/W3087238349","https://openalex.org/W3105834773","https://openalex.org/W3106444461","https://openalex.org/W3136203220","https://openalex.org/W3158712508","https://openalex.org/W4224315048","https://openalex.org/W4226263711","https://openalex.org/W4286924277","https://openalex.org/W4300990168","https://openalex.org/W6801887144","https://openalex.org/W6810433910"],"related_works":["https://openalex.org/W3020555194","https://openalex.org/W2793256277","https://openalex.org/W4360958759","https://openalex.org/W2348235448","https://openalex.org/W2116218375","https://openalex.org/W2389906634","https://openalex.org/W176898926","https://openalex.org/W288156810","https://openalex.org/W1562406979","https://openalex.org/W2115462251"],"abstract_inverted_index":{"Mapping":[0],"information":[1,183],"collected":[2],"at":[3],"the":[4,11,67,78,96,109,140,153,168,182],"level":[5],"of":[6,54,70,80,99,124,143,155,170],"individual":[7],"base":[8,32,63,104],"stations":[9],"onto":[10],"geographical":[12],"space":[13],"is":[14,29],"a":[15,51,72,87,118,174,188],"required":[16],"operation":[17],"for":[18],"many":[19],"works":[20],"relying":[21],"on":[22,108,159],"mobile":[23,144],"network":[24,145,177],"metadata.":[25,146],"The":[26],"common":[27],"practice":[28],"to":[30,59,94,102,137,191],"represent":[31],"station":[33],"coverage":[34],"as":[35,112],"Voronoi":[36,82,92,114,163,199],"cells,":[37],"and":[38,65,120],"assume":[39],"that":[40,90,150,196],"users":[41,100,126],"are":[42,127],"uniformly":[43],"distributed":[44],"therein.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49,84],"leverage":[50],"large-scale":[52],"dataset":[53],"realistic":[55],"spatial":[56,141],"association":[57],"probabilities":[58],"over":[60,161],"5,000":[61],"operational":[62],"stations,":[64],"quantify":[66],"substantial":[68],"problems":[69],"such":[71],"simplistic":[73],"mapping":[74,156],"approach.":[75],"To":[76],"address":[77],"limitations":[79],"legacy":[81],"representations,":[83],"develop":[85],"VoronoiBoost,":[86],"data-driven":[88],"model":[89,172],"scales":[91],"cells":[93],"match":[95],"probabilistic":[97],"distribution":[98],"associated":[101],"each":[103],"station.":[105],"VoronoiBoost":[106,151,186],"relies":[107],"same":[110],"input":[111],"traditional":[113],"decompositions,":[115],"but":[116],"provides":[117],"richer":[119],"more":[121,193],"accurate":[122,194],"rendering":[123],"where":[125,181],"located:":[128],"hence,":[129],"it":[130],"can":[131],"be":[132],"readily":[133],"used":[134],"by":[135,157,185],"researchers":[136],"substantially":[138],"improve":[139],"representation":[142],"Our":[147],"experiments":[148],"demonstrate":[149],"improves":[152],"quality":[154],"44%":[158],"average":[160],"standard":[162],"cells.":[164,200],"We":[165],"also":[166],"showcase":[167],"utility":[169],"our":[171],"in":[173],"practical":[175],"Edge":[176],"planning":[178],"use":[179],"case,":[180],"produced":[184],"drives":[187],"deployment":[189],"up":[190],"28%":[192],"than":[195],"obtained":[197],"with":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}