{"id":"https://openalex.org/W3022146332","doi":"https://doi.org/10.1109/itnac46935.2019.9077988","title":"Adaptive Control of Nonstatistical Sensor Data Aggregation to Minimize Latency in IoT Gateways","display_name":"Adaptive Control of Nonstatistical Sensor Data Aggregation to Minimize Latency in IoT Gateways","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3022146332","doi":"https://doi.org/10.1109/itnac46935.2019.9077988","mag":"3022146332"},"language":"en","primary_location":{"id":"doi:10.1109/itnac46935.2019.9077988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itnac46935.2019.9077988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 29th International Telecommunication Networks and Applications Conference (ITNAC)","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/A5101813828","display_name":"Hideaki Yoshino","orcid":null},"institutions":[{"id":"https://openalex.org/I95053508","display_name":"Nippon Institute of Technology","ror":"https://ror.org/05h68bp56","country_code":"JP","type":"education","lineage":["https://openalex.org/I95053508"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hideaki Yoshino","raw_affiliation_strings":["Faculty of Fundamental Engineering, Nippon Institute of Technology, Saitama, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Fundamental Engineering, Nippon Institute of Technology, Saitama, Japan","institution_ids":["https://openalex.org/I95053508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103487275","display_name":"Kenko Ota","orcid":null},"institutions":[{"id":"https://openalex.org/I95053508","display_name":"Nippon Institute of Technology","ror":"https://ror.org/05h68bp56","country_code":"JP","type":"education","lineage":["https://openalex.org/I95053508"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenko Ota","raw_affiliation_strings":["Faculty of Fundamental Engineering, Nippon Institute of Technology, Saitama, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Fundamental Engineering, Nippon Institute of Technology, Saitama, Japan","institution_ids":["https://openalex.org/I95053508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020367839","display_name":"Takefumi Hiraguri","orcid":"https://orcid.org/0000-0002-5923-136X"},"institutions":[{"id":"https://openalex.org/I95053508","display_name":"Nippon Institute of Technology","ror":"https://ror.org/05h68bp56","country_code":"JP","type":"education","lineage":["https://openalex.org/I95053508"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takefumi Hiraguri","raw_affiliation_strings":["Faculty of Fundamental Engineering, Nippon Institute of Technology, Saitama, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Fundamental Engineering, Nippon Institute of Technology, Saitama, Japan","institution_ids":["https://openalex.org/I95053508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101813828"],"corresponding_institution_ids":["https://openalex.org/I95053508"],"apc_list":null,"apc_paid":null,"fwci":0.3714,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67867934,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2019","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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/T13553","display_name":"Age of Information Optimization","score":0.9933000206947327,"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/latency","display_name":"Latency (audio)","score":0.7608965635299683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7099881768226624},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.6299115419387817},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4429115653038025},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.4230806529521942},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.4194452166557312},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3791550099849701},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.21671700477600098},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2134559452533722},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1730818748474121},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15340298414230347},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09399455785751343}],"concepts":[{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.7608965635299683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7099881768226624},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.6299115419387817},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4429115653038025},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.4230806529521942},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.4194452166557312},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3791550099849701},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.21671700477600098},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2134559452533722},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1730818748474121},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15340298414230347},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09399455785751343},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/itnac46935.2019.9077988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itnac46935.2019.9077988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 29th International Telecommunication Networks and Applications Conference (ITNAC)","raw_type":"proceedings-article"},{"id":"mag:3042932707","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002277717154952","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W412831655","https://openalex.org/W1533691498","https://openalex.org/W1907675331","https://openalex.org/W1972769748","https://openalex.org/W2065286672","https://openalex.org/W2105512846","https://openalex.org/W2153043354","https://openalex.org/W2159858718","https://openalex.org/W2177897936","https://openalex.org/W2197305145","https://openalex.org/W2494547223","https://openalex.org/W2526547361","https://openalex.org/W2558408970","https://openalex.org/W2586459757","https://openalex.org/W2681125652","https://openalex.org/W2794715161","https://openalex.org/W2915006214","https://openalex.org/W3009627843","https://openalex.org/W3102406432","https://openalex.org/W6640082264","https://openalex.org/W6666720300","https://openalex.org/W6676117865","https://openalex.org/W6759225649"],"related_works":["https://openalex.org/W2779562428","https://openalex.org/W1987753576","https://openalex.org/W3033499831","https://openalex.org/W2380362089","https://openalex.org/W2005547481","https://openalex.org/W4200330874","https://openalex.org/W2393954573","https://openalex.org/W2361812906","https://openalex.org/W1587682396","https://openalex.org/W1482310120"],"abstract_inverted_index":{"In":[0,52,121],"order":[1],"to":[2,20,128],"satisfy":[3],"rigorous":[4],"quality":[5],"of":[6,13,32,64,91,117,146,159],"service":[7],"requirements":[8],"and":[9,50,68,113,142,156,180],"realize":[10],"latency-critical":[11],"Internet":[12],"Things":[14],"(IoT)":[15],"applications,":[16],"it":[17],"is":[18],"important":[19],"minimize":[21],"the":[22,61,65,73,97,104,110,118,126,129,133,138,150,160,171],"latency":[23,66,98],"at":[24],"IoT":[25,42],"gateways,":[26],"which":[27],"aggregate":[28],"a":[29,81],"large":[30],"amount":[31],"small-sized":[33],"data":[34,57,93],"from":[35],"massive":[36],"sensor":[37],"devices.":[38],"Data":[39],"aggregation":[40,75,94,112,135,152],"in":[41,103],"gateways":[43],"can":[44],"be":[45],"broadly":[46],"classified":[47],"into":[48],"statistical":[49,56,92],"nonstatistical.":[51],"previous":[53],"studies":[54],"on":[55,137],"aggregation,":[58],"we":[59,85,108,124],"derived":[60,114],"Laplace-Stieltjes":[62],"transform":[63],"distributions":[67],"accurate":[69],"estimation":[70,147,161,176],"formulae":[71,148,162],"for":[72,132,149],"optimal":[74,151,183],"parameters":[76],"under":[77],"steady-state":[78],"conditions":[79],"with":[80,174],"Poisson":[82],"arrival.":[83],"Moreover,":[84],"proposed":[86,172],"an":[87,115],"adaptive":[88,130],"control":[89,131,173],"scheme":[90],"that":[95,170],"minimizes":[96],"when":[99],"time":[100],"variation":[101],"exists":[102],"arrival":[105,140],"rate.":[106],"Furthermore,":[107],"analyzed":[109],"nonstatistical":[111,134],"approximation":[116,127],"average":[119,157],"latency.":[120,184],"this":[122],"study,":[123],"apply":[125],"based":[136],"time-variant":[139],"rate":[141],"propose":[143],"three":[144],"kinds":[145],"number.":[153],"The":[154,167],"transient":[155],"characteristics":[158],"were":[163],"compared":[164],"by":[165],"simulation.":[166],"results":[168],"indicated":[169],"each":[175],"formula":[177],"achieved":[178],"stable":[179],"nearly":[181],"theoretically":[182]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
