{"id":"https://openalex.org/W4413392357","doi":"https://doi.org/10.1109/jiot.2025.3601602","title":"A Range-Free Node Localization Method for Anisotropic Wireless Sensor Networks With Sparse Anchors","display_name":"A Range-Free Node Localization Method for Anisotropic Wireless Sensor Networks With Sparse Anchors","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413392357","doi":"https://doi.org/10.1109/jiot.2025.3601602"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3601602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3601602","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5037952139","display_name":"Yong Jin","orcid":"https://orcid.org/0000-0001-9325-5966"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Jin","raw_affiliation_strings":["School of Artificial Intelligence, Henan University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9325-5966","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan University, Zhengzhou, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Junfang Leng","orcid":"https://orcid.org/0009-0005-5414-7213"},"institutions":[{"id":"https://openalex.org/I7726996","display_name":"Henan University of Economic and Law","ror":"https://ror.org/000jtc944","country_code":"CN","type":"education","lineage":["https://openalex.org/I7726996"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfang Leng","raw_affiliation_strings":["School of Information Engineering, Zhengzhou College of Finance and Economics, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0009-0005-5414-7213","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhengzhou College of Finance and Economics, Zhengzhou, China","institution_ids":["https://openalex.org/I7726996"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070900410","display_name":"Lin Zhou","orcid":"https://orcid.org/0000-0002-2700-834X"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhou","raw_affiliation_strings":["School of Artificial Intelligence, Henan University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2700-834X","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan University, Zhengzhou, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062626927","display_name":"Yu Jiang","orcid":"https://orcid.org/0000-0001-8254-6792"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Jiang","raw_affiliation_strings":["School of Artificial Intelligence, Henan University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan University, Zhengzhou, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002035574","display_name":"Qian Wei","orcid":"https://orcid.org/0000-0002-3413-9292"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Wei","raw_affiliation_strings":["School of Artificial Intelligence, Henan University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3413-9292","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan University, Zhengzhou, China","institution_ids":["https://openalex.org/I173899330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4626,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66526608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991000294685364,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9763000011444092,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9714999794960022,"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/computer-science","display_name":"Computer science","score":0.7350972890853882},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6837849617004395},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5642996430397034},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5310851335525513},{"id":"https://openalex.org/keywords/key-distribution-in-wireless-sensor-networks","display_name":"Key distribution in wireless sensor networks","score":0.4841528534889221},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.46601346135139465},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.38571739196777344},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.3487150967121124},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20208805799484253},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.1296916902065277},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09218576550483704},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09126037359237671}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7350972890853882},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6837849617004395},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5642996430397034},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5310851335525513},{"id":"https://openalex.org/C41971633","wikidata":"https://www.wikidata.org/wiki/Q6398155","display_name":"Key distribution in wireless sensor networks","level":4,"score":0.4841528534889221},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.46601346135139465},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.38571739196777344},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.3487150967121124},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20208805799484253},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.1296916902065277},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09218576550483704},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09126037359237671},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3601602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3601602","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2043591329","https://openalex.org/W2090726948","https://openalex.org/W2101804784","https://openalex.org/W2166237942","https://openalex.org/W2170207829","https://openalex.org/W2240141800","https://openalex.org/W2344770370","https://openalex.org/W2403517573","https://openalex.org/W2474296258","https://openalex.org/W2520175491","https://openalex.org/W2550686015","https://openalex.org/W2796423370","https://openalex.org/W2888725935","https://openalex.org/W2945010388","https://openalex.org/W2962214891","https://openalex.org/W2989922236","https://openalex.org/W2992360897","https://openalex.org/W3005884131","https://openalex.org/W3032499871","https://openalex.org/W3036499921","https://openalex.org/W3082826958","https://openalex.org/W3137066621","https://openalex.org/W3194789034","https://openalex.org/W3199053546","https://openalex.org/W4206666298","https://openalex.org/W4206725225","https://openalex.org/W4211257454","https://openalex.org/W4234950233","https://openalex.org/W4289527036","https://openalex.org/W4312497540","https://openalex.org/W4390741340","https://openalex.org/W4392979684","https://openalex.org/W4398757574","https://openalex.org/W4400229085"],"related_works":["https://openalex.org/W1975451135","https://openalex.org/W917005982","https://openalex.org/W2148549110","https://openalex.org/W2295628284","https://openalex.org/W2890570089","https://openalex.org/W3095958166","https://openalex.org/W2129477171","https://openalex.org/W3148968234","https://openalex.org/W2593729912","https://openalex.org/W2012250365"],"abstract_inverted_index":{"In":[0],"sensor":[1],"networks":[2],"with":[3,153],"anisotropic":[4,33,43],"properties":[5,34,44],"including":[6],"irregular":[7],"layout":[8],"sensors,":[9],"poor":[10,23],"network":[11],"connectivity":[12],"and":[13,57,72,105,143,157,205],"so":[14],"on,":[15],"employing":[16],"traditional":[17],"localization":[18,24,29,64,79,93],"methods":[19],"may":[20,35],"lead":[21,46],"to":[22,47,62,111,115,133,180,187],"accuracy.":[25],"Constructing":[26],"a":[27,66,90,128,170],"novel":[28],"model":[30,94,152],"suitable":[31],"for":[32],"effectively":[36],"address":[37],"the":[38,51,96,116,121,139],"above":[39],"problems.":[40],"Generally":[41],"speaking,":[42],"can":[45,146],"an":[48,102,106,150,188],"increase":[49],"in":[50,77,207],"hop":[52,68,117],"count":[53,69],"between":[54,70,101],"anchor":[55,71,103,136],"nodes":[56,74],"unknown":[58,73,82,107],"nodes.":[59,83],"While":[60],"according":[61],"range-free":[63,92,209],"principles,":[65],"higher":[67],"typically":[75],"results":[76,196],"poorer":[78],"accuracy":[80,206],"of":[81,99,135,191],"Inspired":[84],"by":[85],"this":[86],"observation,":[87],"we":[88,125,168],"propose":[89],"weighted":[91,123],"where":[95],"confidence":[97],"level":[98],"distance":[100,130],"node":[104,108,210],"is":[109],"set":[110],"be":[112,147],"inversely":[113],"proportional":[114],"count.":[118],"Furthermore,":[119],"within":[120],"proposed":[122,200],"model,":[124],"also":[126],"introduce":[127],"rational":[129],"estimation":[131],"related":[132],"types":[134],"pairs.":[137],"Despite":[138],"model\u2019s":[140],"inherent":[141],"non-convexity":[142],"non-differentiability,":[144],"it":[145],"reformulated":[148],"into":[149],"optimization":[151,193],"convex":[154],"objective":[155],"functions":[156],"non-convex":[158,166,178],"constraints":[159],"through":[160],"matrix":[161],"transformations.":[162],"To":[163],"resolve":[164],"these":[165],"constraints,":[167],"employ":[169],"Sequential":[171],"Convex":[172],"Approximation":[173],"(SCA)":[174],"algorithm":[175,201],"that":[176,198],"tightens":[177],"constraint":[179],"its":[181],"first":[182],"Taylor":[183],"expansion":[184],"version,":[185],"leading":[186],"iterative":[189],"solver":[190],"original":[192],"problem.":[194],"Simulation":[195],"validate":[197],"our":[199],"substantially":[202],"improves":[203],"stability":[204],"estimating":[208],"locations.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}