{"id":"https://openalex.org/W2025035486","doi":"https://doi.org/10.1109/icufn.2014.6876829","title":"Transition detection with spectrum database using weighted cooperative sensing","display_name":"Transition detection with spectrum database using weighted cooperative sensing","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2025035486","doi":"https://doi.org/10.1109/icufn.2014.6876829","mag":"2025035486"},"language":"en","primary_location":{"id":"doi:10.1109/icufn.2014.6876829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icufn.2014.6876829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Sixth International Conference on Ubiquitous and Future Networks (ICUFN)","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/A5067287220","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0003-3472-3699"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Advanced Wireless Communication research Center(AWCC), The University of Electro-Communications, Tokyo, Japan","Adv. Wireless Commun. Res. Center, Univ. of Electro-Commun., Chofu, Japan"],"affiliations":[{"raw_affiliation_string":"Advanced Wireless Communication research Center(AWCC), The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"Adv. Wireless Commun. Res. Center, Univ. of Electro-Commun., Chofu, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054932044","display_name":"Takeo Fujii","orcid":"https://orcid.org/0000-0002-7886-5560"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeo Fujii","raw_affiliation_strings":["Advanced Wireless Communication research Center(AWCC), The University of Electro-Communications, Tokyo, Japan","Adv. Wireless Commun. Res. Center, Univ. of Electro-Commun., Chofu, Japan"],"affiliations":[{"raw_affiliation_string":"Advanced Wireless Communication research Center(AWCC), The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"Adv. Wireless Commun. Res. Center, Univ. of Electro-Commun., Chofu, Japan","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067287220"],"corresponding_institution_ids":["https://openalex.org/I20529979"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1161758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"437","last_page":"442"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":1.0,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":1.0,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9943000078201294,"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"}},{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":0.988099992275238,"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/cognitive-radio","display_name":"Cognitive radio","score":0.8262779712677002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7542372941970825},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.6476075649261475},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5991608500480652},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5608289241790771},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.549751341342926},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.5194003582000732},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4913710653781891},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.45571187138557434},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35116636753082275},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.29761409759521484},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20122382044792175},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1051895022392273},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.0912584662437439}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.8262779712677002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7542372941970825},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.6476075649261475},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5991608500480652},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5608289241790771},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.549751341342926},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.5194003582000732},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4913710653781891},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.45571187138557434},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35116636753082275},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.29761409759521484},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20122382044792175},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1051895022392273},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0912584662437439},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icufn.2014.6876829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icufn.2014.6876829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Sixth International Conference on Ubiquitous and Future Networks (ICUFN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2101840010","https://openalex.org/W2134155782","https://openalex.org/W2141860157","https://openalex.org/W2168078104"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2775301649","https://openalex.org/W2048427509","https://openalex.org/W4233632157","https://openalex.org/W2330895226","https://openalex.org/W2994439156","https://openalex.org/W2587869769"],"abstract_inverted_index":{"In":[0,91,119],"order":[1],"to":[2,19,30,40,104,137,155],"improve":[3],"spectrum":[4,47,52,107,144],"utilization":[5],"efficiency":[6],"of":[7,60,82,113,160],"Cognitive":[8],"Radio":[9,33],"(CR)":[10],"systems,":[11],"it":[12,71],"is":[13,62,72,190],"important":[14],"for":[15,65,75,109],"Secondary":[16],"User":[17],"(SU)":[18],"get":[20],"knowledge":[21],"about":[22,43],"Primary":[23],"User(PU)'s":[24],"behavior":[25],"when":[26],"SU":[27],"exploits":[28],"opportunity":[29],"access":[31],"spectrum.":[32],"Environment":[34],"Database":[35],"has":[36],"recently":[37],"been":[38],"proposed":[39,121,168],"provide":[41],"information":[42,127,136],"PU.":[44],"Traditional":[45],"advanced":[46],"database":[48,68,108,124],"constructed":[49],"based":[50],"on":[51],"sensing":[53,103,153],"method":[54,99,154,169],"assumes":[55],"that":[56,166],"the":[57,67,89,111,120,123,126,133,139,143,167,178,181,186,193],"transmit":[58],"status":[59],"PU":[61,114,161],"always":[63,87],"ON":[64],"updating":[66],"information.":[69],"However,":[70],"not":[73,86],"appropriate":[74],"recognizing":[76],"in":[77],"realistic":[78],"environment":[79],"because":[80],"most":[81],"wireless":[83],"systems":[84],"does":[85],"send":[88],"signal.":[90],"this":[92],"paper,":[93],"we":[94,148],"propose":[95],"a":[96,106,150,157,172],"transition":[97,158,174,183,188],"detection":[98,159,175],"using":[100],"weighted":[101,151],"cooperative":[102,152],"construct":[105],"storing":[110],"power":[112],"obtained":[115],"from":[116,128],"sensor":[117,129],"nodes.":[118],"method,":[122],"gathers":[125],"nodes":[130],"and":[131,177,185],"provides":[132],"previously":[134],"stored":[135],"generate":[138],"weight":[140],"coefficient":[141],"at":[142],"shared":[145],"SUs.":[146],"Then,":[147],"use":[149],"make":[156],"behavior.":[162],"Simulation":[163],"results":[164],"show":[165],"can":[170],"achieve":[171],"higher":[173],"precision":[176],"difference":[179],"between":[180],"estimated":[182],"point":[184,189],"real":[187],"smaller":[191],"than":[192],"individual":[194],"sensing.":[195]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}