{"id":"https://openalex.org/W3117067515","doi":"https://doi.org/10.1109/access.2020.3047648","title":"A Link Quality Estimation Method for Wireless Sensor Networks Based on Deep Forest","display_name":"A Link Quality Estimation Method for Wireless Sensor Networks Based on Deep Forest","publication_year":2020,"publication_date":"2020-12-28","ids":{"openalex":"https://openalex.org/W3117067515","doi":"https://doi.org/10.1109/access.2020.3047648","mag":"3117067515"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3047648","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3047648","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09309228.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09309228.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014098443","display_name":"Mu He","orcid":"https://orcid.org/0000-0002-8304-5890"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mu He","raw_affiliation_strings":["School of Software, Institute of Internet of Things and Big Data Technology, Nanchang Hangkong University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0002-8304-5890","affiliations":[{"raw_affiliation_string":"School of Software, Institute of Internet of Things and Big Data Technology, Nanchang Hangkong University, Nanchang, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062237409","display_name":"Jian Shu","orcid":"https://orcid.org/0000-0002-9866-554X"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Shu","raw_affiliation_strings":["School of Software, Institute of Internet of Things and Big Data Technology, Nanchang Hangkong University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0002-9866-554X","affiliations":[{"raw_affiliation_string":"School of Software, Institute of Internet of Things and Big Data Technology, Nanchang Hangkong University, Nanchang, China","institution_ids":["https://openalex.org/I927504317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I927504317"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4637,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.68484411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"2564","last_page":"2575"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9954000115394592,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9954000115394592,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.974399983882904,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9293000102043152,"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":0.803077757358551},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6055179834365845},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5719776749610901},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5486682653427124},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5357344150543213},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4906391203403473},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4681439995765686},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4346262812614441},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.42882031202316284},{"id":"https://openalex.org/keywords/medoid","display_name":"Medoid","score":0.41835111379623413},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39369913935661316},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15251049399375916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.12618687748908997}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.803077757358551},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6055179834365845},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5719776749610901},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5486682653427124},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5357344150543213},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4906391203403473},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4681439995765686},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4346262812614441},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.42882031202316284},{"id":"https://openalex.org/C63085389","wikidata":"https://www.wikidata.org/wiki/Q4287912","display_name":"Medoid","level":3,"score":0.41835111379623413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39369913935661316},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15251049399375916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.12618687748908997},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3047648","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3047648","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09309228.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b8577849af7d4737923caa0662cbab17","is_oa":true,"landing_page_url":"https://doaj.org/article/b8577849af7d4737923caa0662cbab17","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":"IEEE Access, Vol 9, Pp 2564-2575 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3047648","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3047648","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09309228.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5}],"awards":[{"id":"https://openalex.org/G2040133627","display_name":null,"funder_award_id":"20202BABL202039","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G211175848","display_name":null,"funder_award_id":"62062050","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G2287122053","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u4fe1\u5ff5\u7f51\u7684\u4fbf\u643a\u8bbe\u5907\u4ea4\u6362\u7f51\u7edc\u94fe\u8def\u9884\u6d4b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61762065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2476711858","display_name":"\u57fa\u4e8e\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u673a\u4f1a\u7f51\u7edc\u8282\u70b9\u91cd\u8981\u5ea6\u8bc4\u4f30\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62062050","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G655663085","display_name":null,"funder_award_id":"20181BAB202015","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G8609606721","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u65e0\u7ebf\u4f20\u611f\u5668\u7f51\u7edc\u94fe\u8def\u8d28\u91cf\u8bc4\u4f30\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61962037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3117067515.pdf","grobid_xml":"https://content.openalex.org/works/W3117067515.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1864938698","https://openalex.org/W1973632373","https://openalex.org/W1980100720","https://openalex.org/W2002758534","https://openalex.org/W2004502640","https://openalex.org/W2083620785","https://openalex.org/W2085093677","https://openalex.org/W2146557773","https://openalex.org/W2592340788","https://openalex.org/W2593637804","https://openalex.org/W2608023730","https://openalex.org/W2732548057","https://openalex.org/W2758138366","https://openalex.org/W2889366545","https://openalex.org/W2913934227","https://openalex.org/W2938471627","https://openalex.org/W2961323262","https://openalex.org/W2995696070","https://openalex.org/W2998862290","https://openalex.org/W3004441959","https://openalex.org/W3015966228","https://openalex.org/W3027841272","https://openalex.org/W3041437500","https://openalex.org/W3082433520","https://openalex.org/W6645462303","https://openalex.org/W6772235576","https://openalex.org/W6775838741","https://openalex.org/W6779885097","https://openalex.org/W6992467619"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2389417819"],"abstract_inverted_index":{"In":[0,44],"wireless":[1],"sensor":[2,4],"networks,":[3],"nodes,":[5],"the":[6,20,23,70,88,93,97,104,111,118,132,137,146,175],"miniature":[7],"embedded":[8],"devices,":[9],"have":[10],"limitation":[11],"of":[12,19,22,114,125,140],"energy,":[13],"storage,":[14],"computing,":[15],"and":[16,82,108,187],"etc.":[17],"One":[18],"tasks":[21],"nodes":[24],"is":[25,55,100,128,155],"to":[26,31,102,135],"use":[27,73],"their":[28],"limited":[29],"resources":[30],"complete":[32],"work":[33],"efficiently.":[34],"Choosing":[35],"high":[36],"quality":[37,51,90,142,152,179],"link":[38,50,89,106,141,151,178],"communication":[39],"can":[40],"effectively":[41],"save":[42],"energy.":[43],"this":[45],"paper,":[46],"we":[47,72,109],"propose":[48],"a":[49,62,66],"estimation":[52,153,180,185],"model":[53],"that":[54],"based":[56,78],"on":[57,79],"deep":[58,126],"forest.":[59,163],"To":[60],"avoid":[61],"noise":[63,105],"sample":[64,94],"becoming":[65],"center":[67],"point":[68],"in":[69,168],"clustering,":[71],"an":[74],"improved":[75,129],"K-medoids":[76],"algorithm":[77],"step":[80],"increasing":[81],"optimizing":[83],"medoids":[84],"(INCK)":[85],"when":[86],"dividing":[87],"grades.":[91],"During":[92],"preprocessing":[95],"stage,":[96],"Pauta":[98],"criterion":[99],"used":[101],"delete":[103],"samples,":[107],"fill":[110],"mean":[112],"value":[113],"each":[115],"grade":[116],"into":[117],"missing":[119],"values.":[120],"The":[121,164],"feature":[122],"extraction":[123],"performance":[124,186],"forest":[127],"by":[130,157],"combining":[131,158],"stratified":[133,159],"sampling":[134,160],"change":[136],"unbalance":[138],"distribution":[139],"samples.":[143],"And":[144],"then":[145],"Stratified":[147],"Sampling":[148],"Cascade":[149],"Forest":[150],"(SCForest-LQE)":[154],"constructed":[156],"with":[161,174],"cascade":[162],"experiments":[165],"are":[166],"conducted":[167],"three":[169],"real":[170],"application":[171],"scenarios.":[172],"Compared":[173],"existing":[176],"six":[177],"models,":[181],"SCForest-LQE":[182],"has":[183],"better":[184],"stability.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
