{"id":"https://openalex.org/W4360977148","doi":"https://doi.org/10.1186/s13634-023-00995-3","title":"Optimal deployment of large-scale wireless sensor networks based on graph clustering and matrix factorization","display_name":"Optimal deployment of large-scale wireless sensor networks based on graph clustering and matrix factorization","publication_year":2023,"publication_date":"2023-03-08","ids":{"openalex":"https://openalex.org/W4360977148","doi":"https://doi.org/10.1186/s13634-023-00995-3"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-023-00995-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-023-00995-3","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-023-00995-3","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-023-00995-3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068628016","display_name":"Hefei Gao","orcid":"https://orcid.org/0000-0001-8412-426X"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hefei Gao","raw_affiliation_strings":["Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, West Binshui Road, Tianjin, 300387, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, West Binshui Road, Tianjin, 300387, China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103838032","display_name":"Qianwen Zhu","orcid":"https://orcid.org/0009-0001-5171-3524"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianwen Zhu","raw_affiliation_strings":["Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, West Binshui Road, Tianjin, 300387, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, West Binshui Road, Tianjin, 300387, China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063163653","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0001-9032-4401"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, West Binshui Road, Tianjin, 300387, China"],"raw_orcid":"https://orcid.org/0000-0001-9032-4401","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, West Binshui Road, Tianjin, 300387, China","institution_ids":["https://openalex.org/I15062923"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":1.1379,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78513369,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2023","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9927999973297119,"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":0.9927999973297119,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9922000169754028,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9864000082015991,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.8089351654052734},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7489116787910461},{"id":"https://openalex.org/keywords/key-distribution-in-wireless-sensor-networks","display_name":"Key distribution in wireless sensor networks","score":0.5413216948509216},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.48941412568092346},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.47419506311416626},{"id":"https://openalex.org/keywords/brooks\u2013iyengar-algorithm","display_name":"Brooks\u2013Iyengar algorithm","score":0.46145614981651306},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.44269484281539917},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4242750108242035},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40243616700172424},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.36324578523635864},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3074644207954407},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19798043370246887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12204787135124207}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.8089351654052734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7489116787910461},{"id":"https://openalex.org/C41971633","wikidata":"https://www.wikidata.org/wiki/Q6398155","display_name":"Key distribution in wireless sensor networks","level":4,"score":0.5413216948509216},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.48941412568092346},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.47419506311416626},{"id":"https://openalex.org/C10000559","wikidata":"https://www.wikidata.org/wiki/Q4975143","display_name":"Brooks\u2013Iyengar algorithm","level":5,"score":0.46145614981651306},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.44269484281539917},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4242750108242035},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40243616700172424},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.36324578523635864},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3074644207954407},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19798043370246887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12204787135124207},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13634-023-00995-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-023-00995-3","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-023-00995-3","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0cbf2332298b4e61ad8ef8fe2a4d80fb","is_oa":true,"landing_page_url":"https://doaj.org/article/0cbf2332298b4e61ad8ef8fe2a4d80fb","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":"EURASIP Journal on Advances in Signal Processing, Vol 2023, Iss 1, Pp 1-17 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-023-00995-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-023-00995-3","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-023-00995-3","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3593897502","display_name":null,"funder_award_id":"61971310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7852893480","display_name":null,"funder_award_id":"61731006","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":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4360977148.pdf"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W2092262344","https://openalex.org/W2161763921","https://openalex.org/W2215668387","https://openalex.org/W2755388561","https://openalex.org/W2797386627","https://openalex.org/W2807150694","https://openalex.org/W2890403598","https://openalex.org/W2890434332","https://openalex.org/W2936484665","https://openalex.org/W3015437415","https://openalex.org/W3015965491","https://openalex.org/W3025754058","https://openalex.org/W3035725276","https://openalex.org/W3041638644","https://openalex.org/W3043948261","https://openalex.org/W3087795266","https://openalex.org/W3105775869","https://openalex.org/W3128258093","https://openalex.org/W3198665329","https://openalex.org/W3213881212","https://openalex.org/W3215995087","https://openalex.org/W4285264096"],"related_works":["https://openalex.org/W2354495280","https://openalex.org/W2150793856","https://openalex.org/W2274990356","https://openalex.org/W4292403637","https://openalex.org/W2410540171","https://openalex.org/W2291787067","https://openalex.org/W2023632108","https://openalex.org/W202074169","https://openalex.org/W1911231336","https://openalex.org/W1606544890"],"abstract_inverted_index":{"Abstract":[0],"It":[1],"is":[2,124,152,157],"undeniable":[3],"that":[4,111,143],"there":[5],"are":[6],"a":[7,14,22,41,49,52,60,95],"large":[8],"number":[9],"of":[10,25,32,86,148,165,172],"redundant":[11,19],"nodes":[12,20,43],"in":[13],"wireless":[15,54,97,175],"sensor":[16,34,42,55,98,176],"network.":[17,35,56,99,177],"These":[18],"cause":[21],"colossal":[23],"waste":[24],"resources":[26],"and":[27,89,120,154],"seriously":[28],"threaten":[29],"the":[30,33,71,83,91,102,105,112,117,121,136,144,149,155,163,166,169,173],"life":[31],"In":[36],"this":[37],"paper,":[38],"we":[39,58,78,130,161],"provide":[40],"optimization":[44,138],"selection":[45,85],"algorithm":[46,63,134,151,167],"based":[47,64],"on":[48,65,104],"graph":[50,73],"for":[51,82,94,168],"large-scale":[53,72,96,174],"Firstly,":[57],"propose":[59],"representation-clustering":[61],"joint":[62],"Graph":[66],"Neural":[67],"Network":[68],"to":[69],"partition":[70],"into":[74],"several":[75],"subgraphs.":[76],"Then,":[77],"use":[79],"Singular-Value-QR":[80],"Decomposition":[81],"node":[84],"each":[87],"subgraph":[88],"achieve":[90],"optimal":[92,170],"deployment":[93,171],"We":[100],"conduct":[101],"experiments":[103],"CIMIS":[106],"dataset.":[107],"The":[108,140],"results":[109,141],"show":[110],"mean":[113,145],"square":[114,146],"error":[115,147],"between":[116],"reconstructed":[118],"network":[119,123],"original":[122],"as":[125,127],"low":[126],"0.02433.":[128],"Meanwhile,":[129],"also":[131],"compare":[132],"our":[133],"with":[135],"classical":[137],"algorithm.":[139],"imply":[142],"proposed":[150],"lower":[153],"distribution":[156],"more":[158],"uniform.":[159],"Further,":[160],"verify":[162],"scalability":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}