{"id":"https://openalex.org/W3118896835","doi":"https://doi.org/10.1109/access.2021.3049255","title":"Multi-Timeslots Data Collection With Low Rank and Modified Second-Order Horizontal Total Variation for Wireless Sensor Networks","display_name":"Multi-Timeslots Data Collection With Low Rank and Modified Second-Order Horizontal Total Variation for Wireless Sensor Networks","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3118896835","doi":"https://doi.org/10.1109/access.2021.3049255","mag":"3118896835"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3049255","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3049255","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09314133.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/ielx7/6287639/9312710/09314133.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101695932","display_name":"Xiaochao Liu","orcid":"https://orcid.org/0000-0003-0390-8092"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochao Liu","raw_affiliation_strings":["College of Electronic Information and Optical Engineering, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-0390-8092","affiliations":[{"raw_affiliation_string":"College of Electronic Information and Optical Engineering, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390073","display_name":"Jianping Zhang","orcid":"https://orcid.org/0000-0002-4451-6661"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianping Zhang","raw_affiliation_strings":["College of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101701886","display_name":"Guiling Sun","orcid":"https://orcid.org/0000-0001-5283-1760"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiling Sun","raw_affiliation_strings":["College of Electronic Information and Optical Engineering, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-5283-1760","affiliations":[{"raw_affiliation_string":"College of Electronic Information and Optical Engineering, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081591060","display_name":"Zhouzhou Li","orcid":"https://orcid.org/0000-0001-7966-2864"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhouzhou Li","raw_affiliation_strings":["College of Electronic Information and Optical Engineering, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Information and Optical Engineering, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6904,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62410206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"9","issue":null,"first_page":"7921","last_page":"7929"},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7660225033760071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7442495822906494},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5717915892601013},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.5115453004837036},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.45300427079200745},{"id":"https://openalex.org/keywords/data-transmission","display_name":"Data transmission","score":0.44384005665779114},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4318752586841583},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.43129459023475647},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.42288583517074585},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.39839982986450195},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36512017250061035},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36044201254844666},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12127092480659485},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1155788004398346},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10407653450965881},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08949771523475647},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.08472716808319092}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7660225033760071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7442495822906494},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5717915892601013},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.5115453004837036},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.45300427079200745},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.44384005665779114},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4318752586841583},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.43129459023475647},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.42288583517074585},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39839982986450195},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36512017250061035},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36044201254844666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12127092480659485},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1155788004398346},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10407653450965881},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08949771523475647},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.08472716808319092},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3049255","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3049255","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09314133.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:bbaabd9d89114b9a81eb98f365121720","is_oa":true,"landing_page_url":"https://doaj.org/article/bbaabd9d89114b9a81eb98f365121720","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 7921-7929 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3049255","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3049255","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09314133.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","score":0.8700000047683716,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G3141261596","display_name":"\u878d\u5408\u538b\u7f29\u611f\u77e5\u4e0e\u4f4e\u79e9\u7406\u8bba\u7684\u65e0\u7ebf\u4f20\u611f\u5668\u7f51\u7edc\u56fe\u50cf\u83b7\u53d6\u5173\u952e\u6280\u672f\u7684\u7814\u7a76","funder_award_id":"61771262","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3118896835.pdf","grobid_xml":"https://content.openalex.org/works/W3118896835.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W2030507150","https://openalex.org/W2047352628","https://openalex.org/W2059958128","https://openalex.org/W2077318038","https://openalex.org/W2103972604","https://openalex.org/W2114961911","https://openalex.org/W2117368434","https://openalex.org/W2123241700","https://openalex.org/W2124584309","https://openalex.org/W2134332047","https://openalex.org/W2142355131","https://openalex.org/W2146616964","https://openalex.org/W2147392828","https://openalex.org/W2154721480","https://openalex.org/W2167849846","https://openalex.org/W2169978421","https://openalex.org/W2171046470","https://openalex.org/W2194323477","https://openalex.org/W2296616510","https://openalex.org/W2339666411","https://openalex.org/W2476851745","https://openalex.org/W2611328865","https://openalex.org/W2769383089","https://openalex.org/W2890992157","https://openalex.org/W2898730610","https://openalex.org/W2912208621","https://openalex.org/W2913535645","https://openalex.org/W2916418642","https://openalex.org/W2982180300","https://openalex.org/W2988055870","https://openalex.org/W3099447760","https://openalex.org/W4244393449","https://openalex.org/W4250955649","https://openalex.org/W7073876970"],"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/W2208932071"],"abstract_inverted_index":{"Decreasing":[0],"the":[1,7,14,59,66,69,83,128,132,144,174,180,187,197,208,212,221,225,229,236,240],"number":[2,133],"of":[3,68,85,134,156,205,218],"data":[4,31,46,77,86,113,135,200,219,238],"gathered":[5],"is":[6,29,139],"most":[8,55],"highly":[9],"effective":[10],"way":[11],"to":[12,27,48,81,178],"decrease":[13,89],"power":[15],"consumption":[16],"for":[17,215],"wireless":[18,35,93,157],"sensor":[19,36,94,158],"networks.":[20],"Compressed":[21],"Data":[22,100],"Gathering,":[23],"as":[24,44],"it":[25,39,62],"known":[26],"all,":[28],"a":[30,98,163,192],"collection":[32],"method":[33,111,177,190],"in":[34,54,76,92,220],"networks,":[37,95],"but":[38],"cannot":[40],"achieve":[41],"sparse":[42],"sensing":[43,136],"all":[45],"need":[47],"be":[49],"sensed":[50],"and":[51,72,88,112,119,137,152,161,239],"then":[52],"transmitted":[53],"practical":[56],"applications.":[57],"At":[58],"same":[60],"time,":[61],"has":[63,191],"been":[64],"shown":[65],"effectiveness":[67],"total":[70],"variation":[71],"low":[73,153],"rank":[74,154],"constraints":[75],"restoration.":[78],"In":[79,203],"order":[80],"enhance":[82],"accuracy":[84],"recovery":[87,206],"energy":[90],"cost":[91],"we":[96,172],"propose":[97],"Multi-Timeslots":[99],"Collection":[101],"scheme,":[102],"which":[103],"includes":[104],"two":[105],"aspects:":[106],"Structure":[107],"Random":[108],"Sparse":[109],"Sampling":[110],"restoration":[114,201],"algorithm":[115],"with":[116,224],"Low":[117],"Rank":[118],"Modified":[120],"Second-Order":[121],"Horizontal":[122],"Total":[123],"Variation":[124],"Constraints.":[125],"By":[126],"adopting":[127],"proposed":[129,188,209,230],"sampling":[130,189],"method,":[131],"transmission":[138],"greatly":[140],"reduced,":[141],"thereby":[142],"prolong":[143],"network":[145],"lifetime.":[146],"We":[147],"fully":[148],"exploit":[149],"temporal":[150],"stability":[151],"characteristics":[155],"networks":[159],"data,":[160],"build":[162],"temporal-stability":[164],"based":[165,199],"nuclear":[166],"norm":[167],"regularization":[168],"minimization":[169],"model.":[170],"Meanwhile,":[171],"apply":[173],"alternating":[175],"direction":[176],"solve":[179],"problem.":[181],"The":[182],"simulation":[183],"results":[184],"present":[185],"that":[186],"corresponding":[193],"enhancement":[194],"effect":[195],"on":[196],"matrix-completion":[198],"algorithms.":[202],"terms":[204],"precision,":[207],"scheme":[210,231],"outperforms":[211],"state-of-the-art":[213],"methods":[214],"different":[216],"types":[217],"network.":[222],"Moreover,":[223],"compression":[226],"ratio":[227],"increasing,":[228],"can":[232],"still":[233],"exactly":[234],"recover":[235],"lost":[237],"advantages":[241],"become":[242],"increasingly":[243],"obvious.":[244]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}