{"id":"https://openalex.org/W2937763644","doi":"https://doi.org/10.1177/1550147719841496","title":"A distributed estimation method over network based on compressed sensing","display_name":"A distributed estimation method over network based on compressed sensing","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2937763644","doi":"https://doi.org/10.1177/1550147719841496","mag":"2937763644"},"language":"en","primary_location":{"id":"doi:10.1177/1550147719841496","is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147719841496","pdf_url":null,"source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1177/1550147719841496","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108049426","display_name":"Lin Li","orcid":"https://orcid.org/0000-0001-6687-3013"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Li","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-6687-3013","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100336696","display_name":"Donghui Li","orcid":"https://orcid.org/0000-0002-7810-4286"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghui Li","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5108049426"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":{"value":2200,"currency":"USD","value_usd":2200},"apc_paid":{"value":2200,"currency":"USD","value_usd":2200},"fwci":0.7087,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.62828649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"15","issue":"4","first_page":"155014771984149","last_page":"155014771984149"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9990000128746033,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9979000091552734,"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/compressed-sensing","display_name":"Compressed sensing","score":0.8900461196899414},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7901728749275208},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6950771808624268},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5524260401725769},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.5127557516098022},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5045257806777954},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.45433762669563293},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.43301069736480713},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16794130206108093},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13889262080192566}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8900461196899414},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7901728749275208},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6950771808624268},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5524260401725769},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.5127557516098022},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5045257806777954},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.45433762669563293},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.43301069736480713},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16794130206108093},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13889262080192566},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"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":3,"locations":[{"id":"doi:10.1177/1550147719841496","is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147719841496","pdf_url":null,"source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:sae:intdis:v:15:y:2019:i:4:p:1550147719841496","is_oa":false,"landing_page_url":"https://journals.sagepub.com/doi/10.1177/1550147719841496","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:a0bbae6e29884b3785f899c2d0143ffb","is_oa":true,"landing_page_url":"https://doaj.org/article/a0bbae6e29884b3785f899c2d0143ffb","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":"International Journal of Distributed Sensor Networks, Vol 15 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1177/1550147719841496","is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147719841496","pdf_url":null,"source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1560439860","https://openalex.org/W1985235227","https://openalex.org/W1994090469","https://openalex.org/W2024307985","https://openalex.org/W2029080014","https://openalex.org/W2046497867","https://openalex.org/W2046658845","https://openalex.org/W2057792317","https://openalex.org/W2064641707","https://openalex.org/W2071607622","https://openalex.org/W2104266187","https://openalex.org/W2118776392","https://openalex.org/W2119667497","https://openalex.org/W2121820607","https://openalex.org/W2141730627","https://openalex.org/W2611328865","https://openalex.org/W2616400984","https://openalex.org/W2757401918","https://openalex.org/W2963876672","https://openalex.org/W3122560455","https://openalex.org/W3153529054","https://openalex.org/W4247616150","https://openalex.org/W4365806334"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2810730439","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W2465351041","https://openalex.org/W1976264255"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"a":[3,79,133,201],"distributed":[4,31,50],"estimation":[5,51,77,111],"method":[6,156,163,182],"called":[7],"compressed-combine-reconstruct-adaptive":[8,155,181],"to":[9,52,90],"estimate":[10],"an":[11],"unknown":[12,60],"sparse":[13,65],"parameter":[14,61],"of":[15,62,105,119,152],"interest":[16,63],"from":[17],"noisy":[18],"measurement":[19],"over":[20,95],"networks":[21,32],"based":[22],"on":[23,116],"compressed":[24,43,80,88,103,110,124],"sensing.":[25],"It":[26],"is":[27,46,64,157,164],"useful":[28],"in":[29,48,66,78,128,159,174],"some":[30],"where":[33],"the":[34,49,55,59,70,92,96,102,117,120,123,138,153,180,185,189,195],"robustness":[35],"and":[36,170,199,215],"low":[37],"consumption":[38],"are":[39,126],"desired":[40],"features.":[41],"The":[42,83,149,176],"sensing":[44],"theory":[45],"introduced":[47],"further":[53],"reduce":[54,91],"communication":[56,93,171,196,221],"load":[57,94,197],"as":[58,188],"many":[67],"situations.":[68],"With":[69],"proposed":[71,154],"method,":[72],"each":[73,99],"node":[74,100],"compresses":[75],"its":[76,108],"dimension":[81,130],"form.":[82],"nodes":[84,139],"only":[85],"exchange":[86],"their":[87,141],"estimations":[89,104,125,142],"network.":[97,121],"Next,":[98],"combines":[101],"neighbors":[106],"with":[107,132,143,166,200],"own":[109],"using":[112],"combination":[113],"coefficients":[114],"depend":[115],"topology":[118],"Then,":[122],"reconstructed":[127],"full":[129],"form":[131],"reconstruction":[134],"algorithm.":[135,148],"At":[136],"last,":[137],"update":[140],"normalized":[144],"least":[145],"mean":[146,205,209],"square":[147,206,210],"stability":[150],"analysis":[151],"illustrated":[158],"this":[160],"article.":[161],"Our":[162],"compared":[165],"standard":[167,190],"diffusion":[168,191],"methods":[169,173,192],"reduced":[172,222],"simulations.":[175],"results":[177],"show":[178],"that":[179],"achieves":[183],"nearly":[184],"same":[186],"performance":[187,203],"while":[193],"reducing":[194],"significantly,":[198],"better":[202],"(network":[204],"error),":[207],"network":[208],"error,":[211],"steady-state":[212,216],"mean-square":[213,217],"deviation":[214],"deviation)":[218],"than":[219],"other":[220],"methods.":[223]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}