{"id":"https://openalex.org/W4390190028","doi":"https://doi.org/10.1109/milcom58377.2023.10356349","title":"Age of Critical Information: Optimizing Data Freshness Based on Content Criticality","display_name":"Age of Critical Information: Optimizing Data Freshness Based on Content Criticality","publication_year":2023,"publication_date":"2023-10-30","ids":{"openalex":"https://openalex.org/W4390190028","doi":"https://doi.org/10.1109/milcom58377.2023.10356349"},"language":"en","primary_location":{"id":"doi:10.1109/milcom58377.2023.10356349","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/milcom58377.2023.10356349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM)","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/A5100669228","display_name":"Qingyu Liu","orcid":"https://orcid.org/0000-0003-1487-7682"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qingyu Liu","raw_affiliation_strings":["Virginia Tech,Blacksburg,VA,USA","Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Blacksburg,VA,USA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101399412","display_name":"Chengzhang Li","orcid":"https://orcid.org/0000-0003-3142-0131"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengzhang Li","raw_affiliation_strings":["Ohio State University,Columbus,OH,USA","Ohio State University, Columbus, OH, USA"],"affiliations":[{"raw_affiliation_string":"Ohio State University,Columbus,OH,USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059824798","display_name":"Y. Thomas Hou","orcid":"https://orcid.org/0000-0003-3716-5768"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y. Thomas Hou","raw_affiliation_strings":["Virginia Tech,Blacksburg,VA,USA","Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Blacksburg,VA,USA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001879281","display_name":"Wenjing Lou","orcid":"https://orcid.org/0000-0002-2421-4623"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenjing Lou","raw_affiliation_strings":["Virginia Tech,Blacksburg,VA,USA","Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Blacksburg,VA,USA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007158362","display_name":"Sastry Kompella","orcid":"https://orcid.org/0000-0001-7696-6213"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sastry Kompella","raw_affiliation_strings":["Nexcepta Inc.,Gaithersburg,MD,USA","Nexcepta Inc., Gaithersburg, MD, USA"],"affiliations":[{"raw_affiliation_string":"Nexcepta Inc.,Gaithersburg,MD,USA","institution_ids":[]},{"raw_affiliation_string":"Nexcepta Inc., Gaithersburg, MD, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100669228"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.2009,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53990686,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"747","last_page":"754"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","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/T13553","display_name":"Age of Information Optimization","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/T13471","display_name":"Cognitive Functions and Memory","score":0.9300000071525574,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12079","display_name":"IoT Networks and Protocols","score":0.9090999960899353,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/computer-science","display_name":"Computer science","score":0.7858734130859375},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5504858493804932},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4383716881275177},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.42938709259033203},{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.4247661530971527},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.34761303663253784},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.31521904468536377},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11262258887290955}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7858734130859375},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5504858493804932},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4383716881275177},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.42938709259033203},{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.4247661530971527},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34761303663253784},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.31521904468536377},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11262258887290955},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/milcom58377.2023.10356349","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/milcom58377.2023.10356349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320333655","display_name":"Institute for Critical Technology and Applied Science","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1506539745","https://openalex.org/W1993918491","https://openalex.org/W2128466234","https://openalex.org/W2146487252","https://openalex.org/W2215882716","https://openalex.org/W2733656312","https://openalex.org/W2742317233","https://openalex.org/W2791249258","https://openalex.org/W2801221059","https://openalex.org/W2903529520","https://openalex.org/W2912198712","https://openalex.org/W2949681263","https://openalex.org/W2951452709","https://openalex.org/W2972006294","https://openalex.org/W2989115619","https://openalex.org/W2995433474","https://openalex.org/W3008803558","https://openalex.org/W3013374752","https://openalex.org/W3041291604","https://openalex.org/W3047043147","https://openalex.org/W3048471005","https://openalex.org/W3099066511","https://openalex.org/W3103678069","https://openalex.org/W3116067625","https://openalex.org/W3124303715","https://openalex.org/W3154661073","https://openalex.org/W3175908748","https://openalex.org/W3215171387","https://openalex.org/W4301852635","https://openalex.org/W4312749527","https://openalex.org/W4313017147","https://openalex.org/W4386245168"],"related_works":["https://openalex.org/W2016058626","https://openalex.org/W2474724840","https://openalex.org/W2895916002","https://openalex.org/W1530911128","https://openalex.org/W1814049089","https://openalex.org/W2369683208","https://openalex.org/W2084836983","https://openalex.org/W1977348009","https://openalex.org/W2362133437","https://openalex.org/W2963760573"],"abstract_inverted_index":{"Age":[0,73],"of":[1,32,64,74,90,116,122,145,152],"Information":[2,76],"(AoI)":[3],"is":[4],"an":[5,104,114,139,156],"important":[6,140],"metric":[7,71],"to":[8,78,169],"measure":[9],"information":[10,20,38,49,97],"freshness":[11,21,63],"in":[12,36],"IoT":[13],"applications.":[14],"However,":[15],"traditional":[16],"AoI":[17],"only":[18],"measures":[19],"from":[22],"its":[23,55,100],"generation":[24,88],"time":[25,82,89,123],"and":[26,86,149,183],"does":[27],"not":[28],"take":[29],"into":[30],"consideration":[31],"the":[33,37,46,80,84,87,91,109,118,143,150],"relative":[34],"significance":[35],"content.":[39],"To":[40],"address":[41],"this":[42,134,161],"limitation,":[43],"we":[44,59,136,163,176],"consider":[45],"scenario":[47],"where":[48],"can":[50,60],"be":[51],"classified":[52],"based":[53],"on":[54,62],"criticality":[56],"so":[57],"that":[58],"focus":[61],"critical":[65,96],"information.":[66],"We":[67,102],"introduce":[68],"a":[69,127,186],"new":[70],"called":[72],"Critical":[75],"(AoCI)":[77],"quantify":[79],"elapsed":[81],"between":[83],"present":[85],"head-of-line":[92],"(HOL)":[93],"queued":[94],"(untransmitted)":[95],"sample":[98],"at":[99,108],"source.":[101],"study":[103],"AoCI":[105,125,147],"scheduling":[106,167],"problem":[107],"base":[110],"station":[111],"(BS),":[112],"with":[113],"objective":[115],"minimizing":[117],"maximum":[119],"(minmax)":[120],"proportion":[121],"when":[124],"exceeds":[126],"target":[128],"threshold":[129],"among":[130],"all":[131,153],"sources.":[132],"For":[133],"problem,":[135],"first":[137],"derive":[138],"property":[141],"regarding":[142],"rates":[144,154],"violating":[146],"thresholds":[148],"sum":[151],"under":[155],"optimal":[157],"scheduler.":[158],"Guided":[159],"by":[160],"property,":[162],"propose":[164],"Janus\u2014a":[165],"low-complexity":[166],"algorithm":[168],"our":[170,180],"problem.":[171],"Through":[172],"extensive":[173],"performance":[174],"evaluation,":[175],"show":[177],"Janus":[178],"meets":[179],"design":[181],"objectives":[182],"significantly":[184],"outperforms":[185],"well-known":[187],"scheduler":[188],"(EDF).":[189]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
