{"id":"https://openalex.org/W3011275207","doi":"https://doi.org/10.1109/tnet.2020.2976927","title":"Crowdsensing for Spectrum Discovery: A Waze-Inspired Design via Smartphone Sensing","display_name":"Crowdsensing for Spectrum Discovery: A Waze-Inspired Design via Smartphone Sensing","publication_year":2020,"publication_date":"2020-03-10","ids":{"openalex":"https://openalex.org/W3011275207","doi":"https://doi.org/10.1109/tnet.2020.2976927","mag":"3011275207"},"language":"en","primary_location":{"id":"doi:10.1109/tnet.2020.2976927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2020.2976927","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/A5006448949","display_name":"Sen Lin","orcid":"https://orcid.org/0000-0002-3797-3215"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sen Lin","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, USA"],"raw_orcid":"https://orcid.org/0000-0002-3797-3215","affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027033026","display_name":"Junshan Zhang","orcid":"https://orcid.org/0000-0002-3840-1753"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junshan Zhang","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, USA"],"raw_orcid":"https://orcid.org/0000-0002-3840-1753","affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100358933","display_name":"Lei Ying","orcid":"https://orcid.org/0000-0001-7955-9445"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Ying","raw_affiliation_strings":["University of Michigan, Ann Arbor, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7001,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.85053978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"28","issue":"2","first_page":"750","last_page":"763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9987000226974487,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8143618106842041},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.6360421180725098},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6320974230766296},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.44633281230926514},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.43270283937454224},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.393699586391449},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36787065863609314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3493042588233948},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3244115710258484},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18388241529464722}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8143618106842041},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.6360421180725098},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6320974230766296},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.44633281230926514},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.43270283937454224},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.393699586391449},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36787065863609314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3493042588233948},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3244115710258484},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18388241529464722},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnet.2020.2976927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2020.2976927","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/G6015542055","display_name":null,"funder_award_id":"HDTRA1-13-1-0029","funder_id":"https://openalex.org/F4320332186","funder_display_name":"Defense Threat Reduction Agency"}],"funders":[{"id":"https://openalex.org/F4320332186","display_name":"Defense Threat Reduction Agency","ror":"https://ror.org/04tz64554"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1595409123","https://openalex.org/W1976535029","https://openalex.org/W2037378555","https://openalex.org/W2045201726","https://openalex.org/W2084436032","https://openalex.org/W2085937320","https://openalex.org/W2100755716","https://openalex.org/W2115076853","https://openalex.org/W2129470660","https://openalex.org/W2131018050","https://openalex.org/W2144112805","https://openalex.org/W2145096794","https://openalex.org/W2153209449","https://openalex.org/W2154574806","https://openalex.org/W2158604761","https://openalex.org/W2339558182","https://openalex.org/W2438328984","https://openalex.org/W2504747781","https://openalex.org/W2526456701","https://openalex.org/W2783579192","https://openalex.org/W2803875452","https://openalex.org/W2899702797","https://openalex.org/W3101961963","https://openalex.org/W3105988367","https://openalex.org/W6703689633"],"related_works":["https://openalex.org/W2364252372","https://openalex.org/W4234066492","https://openalex.org/W1998063895","https://openalex.org/W1967044713","https://openalex.org/W2133470120","https://openalex.org/W2747625183","https://openalex.org/W1994286895","https://openalex.org/W2378393413","https://openalex.org/W2802922463","https://openalex.org/W2080622457"],"abstract_inverted_index":{"We":[0],"study":[1],"Waze-inspired":[2],"spectrum":[3,10,19,81],"discovery,":[4],"where":[5],"the":[6,9,43,49,52,80,93,99,109,113,121,155,170,177,189,198,212],"cloud":[7],"collects":[8],"sensing":[11,29,53,64,195,214],"results":[12,54,187],"from":[13,92],"many":[14,139],"smartphones":[15],"and":[16,41,69,152,185],"predicts":[17],"location-specific":[18],"availability":[20],"based":[21],"on":[22],"information":[23],"fusion.":[24],"Observe":[25],"that":[26,101,120,154,191],"with":[27,192],"limited":[28,37],"capability,":[30],"each":[31,46,134,158,193],"smartphone":[32,47,63,135,148,159,194],"can":[33],"sense":[34,100,137,162],"only":[35,106],"a":[36,66,70,75,85,146],"number":[38],"of":[39,108,211],"channels;":[40],"further,":[42],"more":[44,196],"channels":[45],"senses,":[48],"less":[50],"accurate":[51],"would":[55,127],"be.":[56],"In":[57],"particular,":[58],"we":[59,78,144,168],"consider":[60],"two":[61],"different":[62,91],"models:":[65],"homogeneous":[67],"model":[68],"heterogeneous":[71],"model.":[72],"To":[73],"develop":[74],"comprehensive":[76],"understanding,":[77],"cast":[79],"discovery":[82],"problem":[83],"as":[84],"matrix":[86,95,110,114,172],"recovery":[87,115,173,199],"problem,":[88,97],"which":[89],"is":[90,118],"classical":[94],"completion":[96],"in":[98,112],"it":[102,132],"suffices":[103],"to":[104,136,161],"determine":[105],"part":[107],"entries":[111],"formulation.":[116],"It":[117],"shown":[119],"widely-used":[122],"similarity-based":[123],"collaborative":[124],"filtering":[125],"method":[126,151],"not":[128],"work":[129],"well":[130],"because":[131,210],"requires":[133],"too":[138],"channels.":[140],"With":[141],"this":[142],"motivation,":[143],"propose":[145],"location-aided":[147,178],"data":[149,179],"fusion":[150,180],"show":[153],"channel":[156],"numbers":[157],"needs":[160],"could":[163],"be":[164],"dramatically":[165],"reduced.":[166],"Moreover,":[167],"analyze":[169],"partial":[171],"performance":[174,200],"by":[175],"using":[176],"method.":[181],"Both":[182],"theoretical":[183],"analysis":[184],"numerical":[186],"corroborate":[188],"intuition":[190],"channels,":[197],"improves":[201],"at":[202],"first":[203],"but":[204],"then":[205],"degrades":[206],"beyond":[207],"some":[208],"point":[209],"decreasing":[213],"accuracy.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
