{"id":"https://openalex.org/W2513868916","doi":"https://doi.org/10.1109/iscc.2016.7543730","title":"Using spatial interpolation in the design of a coverage metric for Mobile CrowdSensing systems","display_name":"Using spatial interpolation in the design of a coverage metric for Mobile CrowdSensing systems","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2513868916","doi":"https://doi.org/10.1109/iscc.2016.7543730","mag":"2513868916"},"language":"en","primary_location":{"id":"doi:10.1109/iscc.2016.7543730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc.2016.7543730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Symposium on Computers and Communication (ISCC)","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/A5001727216","display_name":"Michele Girolami","orcid":"https://orcid.org/0000-0002-3683-7158"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Girolami","raw_affiliation_strings":["Department of Computer Science, University of Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057916297","display_name":"Stefano Chessa","orcid":"https://orcid.org/0000-0002-1248-9478"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Chessa","raw_affiliation_strings":["Department of Computer Science, University of Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062992824","display_name":"Mauro Dragone","orcid":"https://orcid.org/0000-0001-9013-2100"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Mauro Dragone","raw_affiliation_strings":["Trinity College Dublin, School of Computer Science and Statistics, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Trinity College Dublin, School of Computer Science and Statistics, Dublin, Ireland","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015243327","display_name":"M\u00e9lanie Bouroche","orcid":"https://orcid.org/0000-0002-5039-0815"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Melanie Bouroche","raw_affiliation_strings":["Trinity College Dublin, School of Computer Science and Statistics, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Trinity College Dublin, School of Computer Science and Statistics, Dublin, Ireland","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046960870","display_name":"Vinny Cahill","orcid":null},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Vinny Cahill","raw_affiliation_strings":["Trinity College Dublin, School of Computer Science and Statistics, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Trinity College Dublin, School of Computer Science and Statistics, Dublin, Ireland","institution_ids":["https://openalex.org/I205274468"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"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":0.9998000264167786,"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":0.9983000159263611,"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":0.9973000288009644,"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":0.8007974624633789},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7233867645263672},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.6911925077438354},{"id":"https://openalex.org/keywords/crowdsensing","display_name":"Crowdsensing","score":0.6868395805358887},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.621036946773529},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5188228487968445},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5177011489868164},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5000190734863281},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4259951114654541},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39290016889572144},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.39031991362571716},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.24669724702835083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24459731578826904},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.16529789566993713},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.12938162684440613},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.12411674857139587},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11375349760055542}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8007974624633789},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7233867645263672},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.6911925077438354},{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.6868395805358887},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.621036946773529},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5188228487968445},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5177011489868164},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5000190734863281},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4259951114654541},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39290016889572144},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39031991362571716},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.24669724702835083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24459731578826904},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16529789566993713},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.12938162684440613},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.12411674857139587},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11375349760055542},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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":3,"locations":[{"id":"doi:10.1109/iscc.2016.7543730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc.2016.7543730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Symposium on Computers and Communication (ISCC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/805674","is_oa":false,"landing_page_url":"http://ieeexplore.ieee.org/document/7543730/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:dnet:people______::195e7a482b7ee9178c418b75ddcddd29","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S7407055261","display_name":"ISTI Open Portal","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PROCEEDINGS - IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS, pp. 147-152. Messina, Italy, 27-30 June 2016","raw_type":"Conference article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W39714684","https://openalex.org/W1991642373","https://openalex.org/W2047110156","https://openalex.org/W2089108971","https://openalex.org/W2129951658","https://openalex.org/W2142705361","https://openalex.org/W2292895271","https://openalex.org/W2295301737","https://openalex.org/W2324705166"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W2563347706","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Mobile":[0],"Crowd":[1],"Sensing":[2],"(MCS)":[3],"is":[4],"an":[5],"emerging":[6],"paradigm":[7],"that":[8,54],"exploits":[9],"the":[10,25,32,47,71,106,109,115],"ubiquity":[11],"of":[12,27,34,49,73,96,100,108,117],"smartphones":[13],"and":[14,21],"cheap":[15],"sensor":[16],"devices":[17],"to":[18,24,83,104],"collect":[19],"data":[20],"thus":[22],"contribute":[23],"provision":[26],"useful":[28],"services,":[29],"especially":[30],"in":[31,113,121],"domains":[33],"urban":[35],"life.":[36],"While":[37],"many":[38],"MCS":[39,74,122],"implementations":[40],"have":[41],"been":[42],"proposed":[43],"for":[44,70],"different":[45],"applications,":[46],"lack":[48],"common":[50],"performance":[51],"metrics":[52],"means":[53],"their":[55],"efficiency":[56],"cannot":[57],"be":[58],"easily":[59],"compared.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64],"formalize":[65],"a":[66,81,87,91,97,118],"generic":[67],"coverage":[68],"model":[69],"class":[72],"systems":[75],"sampling":[76],"spatial":[77],"phenomena":[78],"before":[79],"introducing":[80],"way":[82],"produce":[84],"one":[85],"such":[86],"metric":[88,112],"by":[89],"exploiting":[90],"spatio-temporal":[92],"estimator.":[93],"We":[94],"avail":[95],"large-scale":[98],"dataset":[99],"users'":[101],"mobility":[102],"traces":[103],"demonstrate":[105],"use":[107],"newly":[110],"introduced":[111],"informing":[114],"resolution":[116],"typical":[119],"problem":[120],"system":[123],"design.":[124]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}