{"id":"https://openalex.org/W2739907947","doi":"https://doi.org/10.1109/icc.2017.7996324","title":"Process parameter estimation oriented industrial wireless sensor networks: A sequential approach","display_name":"Process parameter estimation oriented industrial wireless sensor networks: A sequential approach","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2739907947","doi":"https://doi.org/10.1109/icc.2017.7996324","mag":"2739907947"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2017.7996324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2017.7996324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"},"type":"article","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/A5009477865","display_name":"Feilong Lin","orcid":"https://orcid.org/0000-0003-0981-3721"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feilong Lin","raw_affiliation_strings":["College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Zhejiang, P.R., China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Zhejiang, P.R., China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007013035","display_name":"Shanying Zhu","orcid":"https://orcid.org/0000-0003-4860-4519"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanying Zhu","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, P.R., China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, P.R., China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038267080","display_name":"Cailian Chen","orcid":"https://orcid.org/0000-0001-6533-8713"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cailian Chen","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, P.R., China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, P.R., China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100690710","display_name":"Xinping Guan","orcid":"https://orcid.org/0009-0006-6233-8762"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinping Guan","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, P.R., China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, P.R., China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009477865"],"corresponding_institution_ids":["https://openalex.org/I135237710"],"apc_list":null,"apc_paid":null,"fwci":0.4023,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62150697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7901178598403931},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6910970211029053},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5991743803024292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5892384052276611},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5450121164321899},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.503354012966156},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4975607693195343},{"id":"https://openalex.org/keywords/industrial-production","display_name":"Industrial production","score":0.44428715109825134},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.420434832572937},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.41680708527565},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4105471968650818},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.35432398319244385},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26619571447372437},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12230056524276733},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09449318051338196}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7901178598403931},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6910970211029053},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5991743803024292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5892384052276611},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5450121164321899},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.503354012966156},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4975607693195343},{"id":"https://openalex.org/C82753439","wikidata":"https://www.wikidata.org/wiki/Q1419090","display_name":"Industrial production","level":2,"score":0.44428715109825134},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.420434832572937},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.41680708527565},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4105471968650818},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.35432398319244385},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26619571447372437},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12230056524276733},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09449318051338196},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C165556158","wikidata":"https://www.wikidata.org/wiki/Q83937","display_name":"Keynesian economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2017.7996324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2017.7996324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W597715784","https://openalex.org/W2018070930","https://openalex.org/W2076936031","https://openalex.org/W2120462722","https://openalex.org/W2153344006","https://openalex.org/W2275408081","https://openalex.org/W2310564973","https://openalex.org/W2325331156","https://openalex.org/W2342418099","https://openalex.org/W2381608967","https://openalex.org/W2531602112"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W632915154","https://openalex.org/W2055733372","https://openalex.org/W3022067003"],"abstract_inverted_index":{"Process":[0],"parameter":[1,53,101],"estimation,":[2],"to":[3,49,118,123],"a":[4,68],"large":[5,136],"extent,":[6],"determines":[7],"the":[8,11,28,32,51,76,80,84,91,99,120,128,131],"quality":[9],"of":[10,79,130],"industrial":[12,34,37],"production.":[13],"Traditionally,":[14],"limited":[15],"sensors":[16,58],"are":[17,104],"deployed":[18],"in":[19,31],"production":[20],"field":[21],"by":[22,55],"elaborate":[23],"wiring,":[24],"which":[25],"cannot":[26],"provide":[27],"accurate":[29],"estimate":[30],"hostile":[33],"environment.":[35],"Recently,":[36],"wireless":[38],"sensor":[39],"network":[40,92,111],"(IWSN)":[41],"has":[42],"been":[43],"considered":[44],"as":[45,135,137],"one":[46],"promising":[47],"technology":[48],"improve":[50],"process":[52,100],"estimation":[54,78,102,121],"deploying":[56],"more":[57],"flexibly":[59],"and":[60,94],"making":[61],"them":[62],"work":[63],"collaboratively.":[64],"In":[65,89],"this":[66],"paper,":[67],"sequential":[69],"IWSN":[70],"(Seq-IWSN)":[71],"approach":[72],"is":[73,134],"provided":[74],"for":[75],"temperature":[77],"steel":[81],"slab":[82],"during":[83],"hot":[85],"strip":[86],"milling":[87],"process.":[88],"Seq-IWSN,":[90],"deployment":[93],"scheduling":[95],"strategies":[96],"coupling":[97],"with":[98],"algorithm":[103],"involved.":[105],"Simulation":[106],"results":[107],"based":[108],"on":[109],"NS3":[110],"simulator":[112],"show":[113],"that":[114],"Seq-IWSN":[115],"can":[116],"help":[117],"reduce":[119],"error":[122],"less":[124],"than":[125],"3\u00b0C,":[126],"although":[127],"covariance":[129],"sampling":[132],"noise":[133],"100.":[138]},"counts_by_year":[{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
