{"id":"https://openalex.org/W2521287148","doi":"https://doi.org/10.3390/s16101547","title":"An Online Dictionary Learning-Based Compressive Data Gathering Algorithm in Wireless Sensor Networks","display_name":"An Online Dictionary Learning-Based Compressive Data Gathering Algorithm in Wireless Sensor Networks","publication_year":2016,"publication_date":"2016-09-22","ids":{"openalex":"https://openalex.org/W2521287148","doi":"https://doi.org/10.3390/s16101547","mag":"2521287148","pmid":"https://pubmed.ncbi.nlm.nih.gov/27669250"},"language":"en","primary_location":{"id":"doi:10.3390/s16101547","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s16101547","pdf_url":"https://www.mdpi.com/1424-8220/16/10/1547/pdf?version=1474539977","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/16/10/1547/pdf?version=1474539977","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101658756","display_name":"Donghao Wang","orcid":"https://orcid.org/0000-0003-3437-7386"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghao Wang","raw_affiliation_strings":["School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100956985","display_name":"Jiangwen Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiangwen Wan","raw_affiliation_strings":["School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081011415","display_name":"Junying Chen","orcid":"https://orcid.org/0000-0002-5614-9731"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junying Chen","raw_affiliation_strings":["School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015738855","display_name":"Qiang Zhang","orcid":"https://orcid.org/0000-0003-0078-8232"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Zhang","raw_affiliation_strings":["School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100956985"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.3115,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.62217552,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"16","issue":"10","first_page":"1547","last_page":"1547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9997000098228455,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9987999796867371,"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/restricted-isometry-property","display_name":"Restricted isometry property","score":0.8995158672332764},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.8283427953720093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6918229460716248},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.6579529643058777},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.536383330821991},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5279960632324219},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.4995279312133789},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.434237539768219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35609257221221924},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.24044334888458252}],"concepts":[{"id":"https://openalex.org/C17902559","wikidata":"https://www.wikidata.org/wiki/Q17099734","display_name":"Restricted isometry property","level":3,"score":0.8995158672332764},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8283427953720093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6918229460716248},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.6579529643058777},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.536383330821991},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5279960632324219},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.4995279312133789},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.434237539768219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35609257221221924},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.24044334888458252},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s16101547","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s16101547","pdf_url":"https://www.mdpi.com/1424-8220/16/10/1547/pdf?version=1474539977","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:27669250","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27669250","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:659ea362636943a3ba3a6bb5bce85f6f","is_oa":true,"landing_page_url":"https://doaj.org/article/659ea362636943a3ba3a6bb5bce85f6f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 16, Iss 10, p 1547 (2016)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/16/10/1547/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s16101547","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 16; Issue 10; Pages: 1547","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:5087342","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5087342","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s16101547","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s16101547","pdf_url":"https://www.mdpi.com/1424-8220/16/10/1547/pdf?version=1474539977","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9200000166893005,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1804876312","display_name":null,"funder_award_id":"No. 61371135","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4008503107","display_name":null,"funder_award_id":"No.61371135","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4359624912","display_name":null,"funder_award_id":"61371135","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5249178904","display_name":null,"funder_award_id":"Grant No. 6","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G564947085","display_name":null,"funder_award_id":"2016-04","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","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/F4320321125","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2521287148.pdf","grobid_xml":"https://content.openalex.org/works/W2521287148.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1972348795","https://openalex.org/W1999949109","https://openalex.org/W2000150201","https://openalex.org/W2030975892","https://openalex.org/W2046658845","https://openalex.org/W2057206714","https://openalex.org/W2061615939","https://openalex.org/W2070740567","https://openalex.org/W2083835467","https://openalex.org/W2090582423","https://openalex.org/W2102129292","https://openalex.org/W2104266187","https://openalex.org/W2105877514","https://openalex.org/W2106335692","https://openalex.org/W2112662017","https://openalex.org/W2116148865","https://openalex.org/W2118838680","https://openalex.org/W2123241700","https://openalex.org/W2126069482","https://openalex.org/W2131713057","https://openalex.org/W2132417948","https://openalex.org/W2144364471","https://openalex.org/W2160547390","https://openalex.org/W2164452299","https://openalex.org/W2289917018","https://openalex.org/W2339666411","https://openalex.org/W2440866115","https://openalex.org/W2963301274","https://openalex.org/W3100231466","https://openalex.org/W3105340263","https://openalex.org/W6613812410","https://openalex.org/W6677681297","https://openalex.org/W6703697878"],"related_works":["https://openalex.org/W1595179898","https://openalex.org/W2949399405","https://openalex.org/W4301619540","https://openalex.org/W4297570801","https://openalex.org/W2952050240","https://openalex.org/W2568623927","https://openalex.org/W2085436476","https://openalex.org/W2025666718","https://openalex.org/W1959156040","https://openalex.org/W1523595302"],"abstract_inverted_index":{"To":[0],"adapt":[1],"to":[2,11],"sense":[3],"signals":[4],"of":[5,57,101,104,129],"enormous":[6],"diversities":[7],"and":[8,10,50,131],"dynamics,":[9],"decrease":[12],"the":[13,58,68,84,88,98,117,123,127,133],"reconstruction":[14,110],"errors":[15],"caused":[16],"by":[17],"ambient":[18],"noise,":[19,130],"a":[20,39,46,51,64],"novel":[21],"online":[22],"dictionary":[23,35,52,60,69,73,140],"learning":[24],"method-based":[25],"compressive":[26,107],"data":[27,142],"gathering":[28,143],"(ODL-CDG)":[29],"algorithm":[30,120],"is":[31,36,61,74,111],"proposed.":[32],"The":[33,55,72],"proposed":[34,118],"learned":[37,59],"from":[38],"two-stage":[40],"iterative":[41],"procedure,":[42],"alternately":[43],"changing":[44],"between":[45],"sparse":[47,78],"coding":[48],"step":[49],"update":[53,70],"step.":[54],"self-coherence":[56],"introduced":[62],"as":[63],"penalty":[65],"term":[66],"during":[67],"procedure.":[71],"also":[75],"constrained":[76],"with":[77,93,138],"structure.":[79],"It's":[80],"theoretically":[81],"demonstrated":[82],"that":[83,116],"sensing":[85,108],"matrix":[86],"satisfies":[87],"restricted":[89],"isometry":[90],"property":[91],"(RIP)":[92],"high":[94],"probability.":[95],"In":[96],"addition,":[97],"lower":[99],"bound":[100],"necessary":[102],"number":[103],"measurements":[105],"for":[106],"(CS)":[109],"given.":[112],"Simulation":[113],"results":[114],"show":[115],"ODL-CDG":[119],"can":[121],"enhance":[122],"recovery":[124],"accuracy":[125],"in":[126,136],"presence":[128],"reduce":[132],"energy":[134],"consumption":[135],"comparison":[137],"other":[139],"based":[141],"methods.":[144]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
