{"id":"https://openalex.org/W3211889781","doi":"https://doi.org/10.1109/iccc52777.2021.9580427","title":"Clustering-Aided Graph Signal Sampling and Reconstruction for Large-Scale Sensor Networks","display_name":"Clustering-Aided Graph Signal Sampling and Reconstruction for Large-Scale Sensor Networks","publication_year":2021,"publication_date":"2021-07-28","ids":{"openalex":"https://openalex.org/W3211889781","doi":"https://doi.org/10.1109/iccc52777.2021.9580427","mag":"3211889781"},"language":"en","primary_location":{"id":"doi:10.1109/iccc52777.2021.9580427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccc52777.2021.9580427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/CIC International Conference on Communications in China (ICCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074838647","display_name":"Chen Yuan","orcid":"https://orcid.org/0000-0002-3730-8397"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Chen","raw_affiliation_strings":["School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an, P. R. China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318268","display_name":"Guobing Li","orcid":"https://orcid.org/0000-0002-7507-6961"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guobing Li","raw_affiliation_strings":["School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an, P. R. China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101840091","display_name":"Bin He","orcid":"https://orcid.org/0000-0002-2677-5758"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin He","raw_affiliation_strings":["School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an, P. R. China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090099779","display_name":"Guomei Zhang","orcid":"https://orcid.org/0000-0002-8240-7802"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guomei Zhang","raw_affiliation_strings":["School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an, P. R. China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"173","issue":null,"first_page":"230","last_page":"235"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9976999759674072,"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":0.9958000183105469,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9934999942779541,"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":0.6917521953582764},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6813353300094604},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5611828565597534},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.5135796070098877},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.48723259568214417},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4656553864479065},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4457986056804657},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4388260543346405},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.4383423328399658},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3824096918106079},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36322855949401855},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35341426730155945},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3264077305793762},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26854318380355835},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.23939332365989685},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14871442317962646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6917521953582764},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6813353300094604},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5611828565597534},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.5135796070098877},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.48723259568214417},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4656553864479065},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4457986056804657},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4388260543346405},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.4383423328399658},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3824096918106079},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36322855949401855},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35341426730155945},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3264077305793762},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26854318380355835},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.23939332365989685},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14871442317962646},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccc52777.2021.9580427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccc52777.2021.9580427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/CIC International Conference on Communications in China (ICCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1501565421","https://openalex.org/W1952656308","https://openalex.org/W1971368490","https://openalex.org/W1990488619","https://openalex.org/W2016423476","https://openalex.org/W2092262344","https://openalex.org/W2098160602","https://openalex.org/W2101491865","https://openalex.org/W2158787690","https://openalex.org/W2161763921","https://openalex.org/W2179147795","https://openalex.org/W2215668387","https://openalex.org/W2475363806","https://openalex.org/W2610861488","https://openalex.org/W2734408317","https://openalex.org/W2798588639","https://openalex.org/W2890403598","https://openalex.org/W2919700978","https://openalex.org/W2963959545","https://openalex.org/W2972918686","https://openalex.org/W3015801342","https://openalex.org/W3020755758","https://openalex.org/W3044848353","https://openalex.org/W3089248281","https://openalex.org/W3117489879","https://openalex.org/W3133001864","https://openalex.org/W6640822425","https://openalex.org/W6750258011","https://openalex.org/W6791308724"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"In":[0],"this":[1,67],"paper":[2],"we":[3,27,69],"develop":[4,43],"a":[5,24,44,79],"clustering-aided":[6],"signal":[7],"sampling":[8,72,86,90,115],"and":[9,42,52,94],"reconstruction":[10,130],"method":[11,46,121],"for":[12,75],"data":[13],"acquisition":[14],"in":[15,78],"large-scale":[16],"sensor":[17],"networks.":[18],"Using":[19],"the":[20,29,33,40,57,60,88,97,119,124],"localization":[21],"feature":[22],"of":[23,36,59,63],"large":[25,108],"network,":[26],"exploit":[28],"vertex-domain":[30],"locality":[31],"by":[32,56],"localized":[34],"operator":[35],"each":[37,64,76],"vertex":[38],"on":[39],"graph,":[41],"clustering":[45],"that":[47,111],"sequentially":[48],"selects":[49],"cluster":[50,77],"heads":[51],"their":[53],"corresponding":[54],"members":[55],"use":[58],"overlap":[61],"factor":[62],"vertex.":[65],"On":[66],"basis,":[68],"apply":[70],"greedy":[71],"set":[73,91,116],"selection":[74,117],"distributed":[80],"manner.":[81],"By":[82],"combining":[83],"all":[84],"local":[85],"sets,":[87],"global":[89],"is":[92,100],"selected":[93],"signals":[95],"over":[96,106],"whole":[98],"graph":[99],"then":[101],"efficiently":[102],"reconstructed.":[103],"Simulation":[104],"results":[105],"various":[107],"networks":[109],"show":[110],"compared":[112],"with":[113],"existing":[114],"methods,":[118],"proposed":[120],"can":[122],"reduce":[123],"computational":[125],"complexity":[126],"while":[127],"achieving":[128],"acceptable":[129],"accuracy.":[131]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}