{"id":"https://openalex.org/W3136184318","doi":"https://doi.org/10.1109/jsac.2021.3065093","title":"Scheduling Real-Time Information-Update Flows for the Optimal Confidence in Estimation","display_name":"Scheduling Real-Time Information-Update Flows for the Optimal Confidence in Estimation","publication_year":2021,"publication_date":"2021-03-11","ids":{"openalex":"https://openalex.org/W3136184318","doi":"https://doi.org/10.1109/jsac.2021.3065093","mag":"3136184318"},"language":"en","primary_location":{"id":"doi:10.1109/jsac.2021.3065093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2021.3065093","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Communications","raw_type":"journal-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/A5036147972","display_name":"Daojing Guo","orcid":"https://orcid.org/0000-0001-6526-2819"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daojing Guo","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060672325","display_name":"I-Hong Hou","orcid":"https://orcid.org/0000-0002-1166-8773"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"I-Hong Hou","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.7792,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72315327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"39","issue":"5","first_page":"1339","last_page":"1351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":1.0,"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/T13553","display_name":"Age of Information Optimization","score":1.0,"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/T10300","display_name":"Congenital Heart Disease Studies","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14393","display_name":"Health, Environment, Cognitive Aging","score":0.9197999835014343,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.8559197187423706},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6308623552322388},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5893129706382751},{"id":"https://openalex.org/keywords/percentile","display_name":"Percentile","score":0.4749079942703247},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.41625499725341797},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35638999938964844},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3563036024570465},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3245046138763428},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3236629366874695},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16345378756523132}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8559197187423706},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6308623552322388},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5893129706382751},{"id":"https://openalex.org/C122048520","wikidata":"https://www.wikidata.org/wiki/Q2913954","display_name":"Percentile","level":2,"score":0.4749079942703247},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.41625499725341797},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35638999938964844},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3563036024570465},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3245046138763428},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3236629366874695},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16345378756523132},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsac.2021.3065093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2021.3065093","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G225672394","display_name":null,"funder_award_id":"N00014-18-1-2048","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G3317640717","display_name":null,"funder_award_id":"W911NF-18-1-0331","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G6131600762","display_name":null,"funder_award_id":"CNS-1719384","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1535136082","https://openalex.org/W1591848543","https://openalex.org/W1599661618","https://openalex.org/W1779974355","https://openalex.org/W1965634470","https://openalex.org/W1990140606","https://openalex.org/W2022178596","https://openalex.org/W2025780386","https://openalex.org/W2063986268","https://openalex.org/W2066987306","https://openalex.org/W2084404802","https://openalex.org/W2101178122","https://openalex.org/W2106606323","https://openalex.org/W2106731007","https://openalex.org/W2111762623","https://openalex.org/W2137152139","https://openalex.org/W2146120924","https://openalex.org/W2146487252","https://openalex.org/W2154594768","https://openalex.org/W2167264214","https://openalex.org/W2444311295","https://openalex.org/W2484398561","https://openalex.org/W2782611477","https://openalex.org/W2791487310","https://openalex.org/W2867820427","https://openalex.org/W2887535580","https://openalex.org/W2945729351","https://openalex.org/W2963270598","https://openalex.org/W2969447045","https://openalex.org/W2997290477","https://openalex.org/W3045339459"],"related_works":["https://openalex.org/W2386317283","https://openalex.org/W4280536967","https://openalex.org/W3018225306","https://openalex.org/W4288388596","https://openalex.org/W2091999583","https://openalex.org/W4200191915","https://openalex.org/W3039787384","https://openalex.org/W3023405014","https://openalex.org/W2739911657","https://openalex.org/W2083689661"],"abstract_inverted_index":{"This":[0,144],"paper":[1],"considers":[2],"a":[3,64,73,77,91,115,169,201],"wireless":[4,109],"network":[5],"where":[6,111,213],"multiple":[7],"flows":[8],"are":[9],"delivering":[10],"status":[11,28],"updates":[12],"about":[13,26],"their":[14],"respective":[15],"information":[16,31],"sources.":[17],"An":[18],"end-user":[19],"aims":[20,251],"to":[21,53,89,252],"make":[22,90],"accurate":[23],"real-time":[24,206,262],"estimations":[25],"the":[27,38,48,55,58,67,86,101,105,124,128,132,135,158,205,218,234,259],"of":[29,40,60,66,103,126,134,138,160,194,204,209,233,241,261],"each":[30,112,142],"source":[32],"using":[33],"its":[34],"received":[35],"packets.":[36],"As":[37],"accuracy":[39],"estimation":[41,93,207],"is":[42,83,175,184,197],"most":[43],"impacted":[44],"by":[45,57,200],"events":[46],"in":[47,63,108,226,231],"recent":[49,68],"past,":[50,69],"we":[51,164,214],"propose":[52],"measure":[54],"Confidence-in-Estimation":[56],"number":[59,82],"timely":[61,139],"deliveries":[62,140],"window":[65],"and":[70,118,239],"say":[71],"that":[72,123,155,166,174,180,250],"flow":[74,113],"suffers":[75],"from":[76,151],"Loss-of-Confidence":[78],"(LoC)":[79],"if":[80],"this":[81,195],"insufficient":[84],"for":[85,141,258],"end":[87],"user":[88],"reliable":[92],"with":[94],"small":[95],"confidence":[96],"intervals.":[97],"We":[98,121],"then":[99],"study":[100,203],"problem":[102,125,148,208],"minimizing":[104,127],"system-wide":[106,129],"LoC":[107,130],"networks":[110],"has":[114],"different":[116,150],"requirement":[117],"link":[119],"quality.":[120],"show":[122,165,179,215],"requires":[131],"control":[133,161],"temporal":[136],"variance":[137],"flow.":[143],"feature":[145],"makes":[146],"our":[147,181,222],"significantly":[149,185],"other":[152,188,246],"optimization":[153],"problems":[154],"only":[156],"involve":[157],"average":[159,235],"variables.":[162],"Surprisingly,":[163],"there":[167],"exists":[168],"simple":[170],"online":[171],"scheduling":[172,223],"algorithm":[173,183],"near-optimal.":[176],"Simulation":[177],"results":[178,225],"proposed":[182],"better":[186,227],"than":[187,245],"state-of-the-art":[189],"policies.":[190],"The":[191],"practical":[192],"value":[193],"work":[196],"further":[198],"evaluated":[199],"case":[202],"linear":[210],"Gaussian":[211],"processes,":[212],"that,":[216],"under":[217],"optimal":[219],"estimate":[220,228],"algorithm,":[221],"policy":[224],"accuracy,":[229],"both":[230],"terms":[232],"mean":[236,242],"square":[237,243],"error":[238],"95-percentile":[240],"error,":[244],"policies,":[247],"including":[248],"one":[249],"optimize":[253],"Age-of-Information,":[254],"another":[255],"performance":[256],"metric":[257],"application":[260],"estimation.":[263]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
