{"id":"https://openalex.org/W2922048928","doi":"https://doi.org/10.1186/s13638-019-1338-z","title":"A cooperative spectrum sensing method based on information geometry and fuzzy c-means clustering algorithm","display_name":"A cooperative spectrum sensing method based on information geometry and fuzzy c-means clustering algorithm","publication_year":2019,"publication_date":"2019-01-23","ids":{"openalex":"https://openalex.org/W2922048928","doi":"https://doi.org/10.1186/s13638-019-1338-z","mag":"2922048928"},"language":"en","primary_location":{"id":"doi:10.1186/s13638-019-1338-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-019-1338-z","pdf_url":"https://link.springer.com/content/pdf/10.1186/s13638-019-1338-z.pdf","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1186/s13638-019-1338-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080241813","display_name":"Shunchao Zhang","orcid":"https://orcid.org/0000-0003-1303-1781"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunchao Zhang","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067632093","display_name":"Yonghua Wang","orcid":"https://orcid.org/0000-0002-0051-7224"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yonghua Wang","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, 510006, China","State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049834747","display_name":"Jiangfan Li","orcid":"https://orcid.org/0000-0001-9674-5274"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangfan Li","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043598115","display_name":"Pin Wan","orcid":"https://orcid.org/0000-0002-4464-8007"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]},{"id":"https://openalex.org/I174442536","display_name":"South Central Minzu University","ror":"https://ror.org/03d7sax13","country_code":"CN","type":"education","lineage":["https://openalex.org/I174442536"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pin Wan","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Wireless Communications, South-Central University for Nationalities, Wuhan, 430074, China","School of Automation, Guangdong University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Wireless Communications, South-Central University for Nationalities, Wuhan, 430074, China","institution_ids":["https://openalex.org/I174442536"]},{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675816","display_name":"Yongwei Zhang","orcid":"https://orcid.org/0000-0003-3381-6340"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongwei Zhang","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100341034","display_name":"Nan Li","orcid":"https://orcid.org/0000-0002-0575-371X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Li","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5067632093"],"corresponding_institution_ids":["https://openalex.org/I139024713","https://openalex.org/I19820366","https://openalex.org/I4210094879"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":4.277,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.9467446,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"2019","issue":"1","first_page":null,"last_page":null},"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":0.995199978351593,"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":0.995199978351593,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9587000012397766,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7737528681755066},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7647902369499207},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6674707531929016},{"id":"https://openalex.org/keywords/information-geometry","display_name":"Information geometry","score":0.6489900350570679},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5547027587890625},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5475869178771973},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.49736860394477844},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4605260491371155},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.41970905661582947},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4153584837913513},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39363402128219604},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36781010031700134},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.24252134561538696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1649596095085144}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7737528681755066},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7647902369499207},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6674707531929016},{"id":"https://openalex.org/C109546454","wikidata":"https://www.wikidata.org/wiki/Q3798604","display_name":"Information geometry","level":4,"score":0.6489900350570679},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5547027587890625},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5475869178771973},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.49736860394477844},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4605260491371155},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.41970905661582947},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4153584837913513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39363402128219604},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36781010031700134},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.24252134561538696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1649596095085144},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.0},{"id":"https://openalex.org/C12520029","wikidata":"https://www.wikidata.org/wiki/Q1147161","display_name":"Scalar curvature","level":3,"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":2,"locations":[{"id":"doi:10.1186/s13638-019-1338-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-019-1338-z","pdf_url":"https://link.springer.com/content/pdf/10.1186/s13638-019-1338-z.pdf","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:57a690e227b44e8c945536fb5850b5ad","is_oa":true,"landing_page_url":"https://doaj.org/article/57a690e227b44e8c945536fb5850b5ad","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking, Vol 2019, Iss 1, Pp 1-12 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13638-019-1338-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-019-1338-z","pdf_url":"https://link.springer.com/content/pdf/10.1186/s13638-019-1338-z.pdf","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4482639284","display_name":null,"funder_award_id":"20180106","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G7153344976","display_name":null,"funder_award_id":"20180106","funder_id":"https://openalex.org/F4320335639","funder_display_name":"Institute of Automation, Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320325030","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80"},{"id":"https://openalex.org/F4320335639","display_name":"Institute of Automation, Chinese Academy of Sciences","ror":null},{"id":"https://openalex.org/F4320337368","display_name":"Division of Graduate Education","ror":"https://ror.org/00whkrf32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2922048928.pdf","grobid_xml":"https://content.openalex.org/works/W2922048928.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1622908323","https://openalex.org/W1911778796","https://openalex.org/W1982436641","https://openalex.org/W2032236594","https://openalex.org/W2033440469","https://openalex.org/W2037900003","https://openalex.org/W2039052858","https://openalex.org/W2044981864","https://openalex.org/W2055039038","https://openalex.org/W2065424480","https://openalex.org/W2066178823","https://openalex.org/W2072184935","https://openalex.org/W2115242586","https://openalex.org/W2129510251","https://openalex.org/W2136816673","https://openalex.org/W2172130312","https://openalex.org/W2273253234","https://openalex.org/W2288090062","https://openalex.org/W2325226323","https://openalex.org/W2340567488","https://openalex.org/W2340718617","https://openalex.org/W2344173564","https://openalex.org/W2371524493","https://openalex.org/W2427638519","https://openalex.org/W2507493185","https://openalex.org/W2511193440","https://openalex.org/W2519018164","https://openalex.org/W2597613627","https://openalex.org/W2734810207","https://openalex.org/W2766522006","https://openalex.org/W2766647418","https://openalex.org/W2771250618","https://openalex.org/W2779517780"],"related_works":["https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W2090259340","https://openalex.org/W4310225030","https://openalex.org/W2083665254","https://openalex.org/W2393816671","https://openalex.org/W1534720161","https://openalex.org/W2804957450","https://openalex.org/W2942177010"],"abstract_inverted_index":{"To":[0],"improve":[1,45,179],"spectrum":[2,7,47,148,181],"sensing":[3,8,48,182],"performance,":[4],"a":[5,31,112],"cooperative":[6,54,76],"method":[9,34,176],"based":[10],"on":[11],"information":[12,39,90],"geometry":[13,40,91],"and":[14,38,68,99,145,159,169],"fuzzy":[15,141],"c-means":[16,142],"clustering":[17,143],"algorithm":[18,144],"is":[19,41,57,93,137],"proposed":[20,175],"in":[21,80],"this":[22],"paper.":[23],"In":[24,155],"the":[25,46,51,59,63,73,85,89,97,103,107,121,126,131,134,140,156,163,170,174,180],"process":[26],"of":[27,53,75,125],"signal":[28,86,108],"feature":[29,32],"extraction,":[30],"extraction":[33],"combining":[35],"decomposition,":[36],"recombination,":[37],"proposed.":[42],"First,":[43],"to":[44,82,95,119,130],"performance":[49,160],"when":[50],"number":[52,74],"secondary":[55,64,77],"users":[56,65],"small,":[58],"signals":[60,101],"collected":[61],"by":[62,139],"are":[66],"split":[67,98],"reorganized,":[69],"thereby":[70,105],"logically":[71],"increasing":[72],"users.":[78],"Then,":[79],"order":[81],"visually":[83],"analyze":[84],"detection":[87,109],"problem,":[88],"theory":[92],"used":[94,146],"map":[96],"recombine":[100],"onto":[102],"manifold,":[104],"transforming":[106],"problem":[110],"into":[111],"geometric":[113,117],"problem.":[114],"Further,":[115],"use":[116],"tools":[118],"extract":[120],"corresponding":[122],"statistical":[123],"characteristics":[124],"signal.":[127],"Finally,":[128],"according":[129],"extracted":[132],"features,":[133],"appropriate":[135],"classifier":[136],"trained":[138],"for":[147],"sensing,":[149],"thus":[150],"avoiding":[151],"complex":[152],"threshold":[153],"derivation.":[154],"simulation":[157],"results":[158,165,171],"analysis":[161],"section,":[162],"experimental":[164],"were":[166],"further":[167],"analyzed,":[168],"show":[172],"that":[173],"can":[177],"effectively":[178],"performance.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-16T07:32:37.131356","created_date":"2025-10-10T00:00:00"}
