{"id":"https://openalex.org/W2976832954","doi":"https://doi.org/10.1109/infcomw.2019.8845145","title":"Optimizing Information Freshness in Broadcast Network with Unreliable Links and Random Arrivals: An Approximate Index Policy","display_name":"Optimizing Information Freshness in Broadcast Network with Unreliable Links and Random Arrivals: An Approximate Index Policy","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2976832954","doi":"https://doi.org/10.1109/infcomw.2019.8845145","mag":"2976832954"},"language":"en","primary_location":{"id":"doi:10.1109/infcomw.2019.8845145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcomw.2019.8845145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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/A5103002536","display_name":"Jingzhou Sun","orcid":"https://orcid.org/0000-0001-5384-3771"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingzhou Sun","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, 100084, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008150938","display_name":"Zhiyuan Jiang","orcid":"https://orcid.org/0000-0002-8522-5721"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyuan Jiang","raw_affiliation_strings":["Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, 200444, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, 200444, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021120517","display_name":"Sheng Zhou","orcid":"https://orcid.org/0000-0003-0651-0071"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Zhou","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, 100084, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079749340","display_name":"Zhisheng Niu","orcid":"https://orcid.org/0000-0003-0420-2024"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhisheng Niu","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, 100084, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, 100084, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103002536"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":3.3603,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.93190655,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9729999899864197,"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/T11993","display_name":"Atomic and Subatomic Physics Research","score":0.9272000193595886,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7263714075088501},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.6762372851371765},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.653687596321106},{"id":"https://openalex.org/keywords/lagrangian-relaxation","display_name":"Lagrangian relaxation","score":0.6203566193580627},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5483036637306213},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.5318562388420105},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.5281985402107239},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5103153586387634},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5088844299316406},{"id":"https://openalex.org/keywords/information-age","display_name":"Information Age","score":0.4462234675884247},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.41580042243003845},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4131212532520294},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2973232865333557},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1589246392250061}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7263714075088501},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.6762372851371765},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.653687596321106},{"id":"https://openalex.org/C91765299","wikidata":"https://www.wikidata.org/wiki/Q3424292","display_name":"Lagrangian relaxation","level":2,"score":0.6203566193580627},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5483036637306213},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.5318562388420105},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.5281985402107239},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5103153586387634},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5088844299316406},{"id":"https://openalex.org/C91093795","wikidata":"https://www.wikidata.org/wiki/Q956129","display_name":"Information Age","level":2,"score":0.4462234675884247},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.41580042243003845},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4131212532520294},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2973232865333557},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1589246392250061},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"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/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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infcomw.2019.8845145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcomw.2019.8845145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1677318746","https://openalex.org/W1919404870","https://openalex.org/W1993918491","https://openalex.org/W1997081029","https://openalex.org/W2044502527","https://openalex.org/W2056921512","https://openalex.org/W2065284701","https://openalex.org/W2108196201","https://openalex.org/W2782611477","https://openalex.org/W2794289923","https://openalex.org/W2908558272","https://openalex.org/W2963094947","https://openalex.org/W2963230953","https://openalex.org/W2963270598","https://openalex.org/W2963782453","https://openalex.org/W2964065984","https://openalex.org/W2964217103"],"related_works":["https://openalex.org/W2002102264","https://openalex.org/W2514655323","https://openalex.org/W3008922481","https://openalex.org/W2988096148","https://openalex.org/W3036142544","https://openalex.org/W2946866959","https://openalex.org/W2963094947","https://openalex.org/W2304594693","https://openalex.org/W2793825998","https://openalex.org/W2951886543"],"abstract_inverted_index":{"With":[0,102],"the":[1,11,28,33,40,120,135,150,154],"rapid":[2],"growth":[3],"of":[4,7,19,42,107,134,153],"real-time":[5],"Internet":[6],"Things":[8],"(IoT)":[9],"applications,":[10],"need":[12],"for":[13],"fresh":[14],"information":[15,29],"has":[16],"surged.":[17],"Age":[18],"Information":[20],"(AoI)":[21],"is":[22,88,110,116],"a":[23,54,58,113],"tailor-made":[24],"metric":[25],"to":[26,45,70],"characterize":[27],"freshness":[30],"perceived":[31],"by":[32],"devices.":[34],"In":[35,51],"this":[36,52],"paper,":[37],"we":[38,77],"investigate":[39],"problem":[41,87,100],"scheduling":[43,114],"updates":[44,63,82],"minimize":[46],"AoI":[47],"in":[48,125],"broadcast":[49],"network.":[50],"case,":[53],"central":[55],"controller,":[56],"e.g.":[57],"base":[59],"station,":[60],"collects":[61],"status":[62,81],"from":[64,74],"different":[65],"sources":[66],"and":[67,83,112],"schedules":[68],"them":[69],"corresponding":[71],"clients.":[72],"Different":[73],"previous":[75,126],"work,":[76],"consider":[78],"both":[79],"stochastic":[80],"unreliable":[84],"links.":[85],"The":[86,123],"first":[89],"modeled":[90],"as":[91,131],"an":[92,105],"infinite":[93],"horizon":[94],"average":[95],"constrained":[96],"cost":[97],"Markov":[98],"decision":[99],"(CMDP).":[101],"Lagrangian":[103],"relaxation,":[104],"approximation":[106,136],"Whittle's":[108],"index":[109,137],"derived":[111],"policy":[115,138],"designed":[117],"based":[118],"on":[119],"approximate":[121],"index.":[122],"results":[124,148],"work":[127],"can":[128],"be":[129],"view":[130],"degenerate":[132],"cases":[133],"either":[139],"with":[140],"reliable":[141],"links":[142],"or":[143],"periodic":[144],"arrival":[145],"constraints.":[146],"Simulation":[147],"demonstrate":[149],"near-optimal":[151],"performance":[152],"proposed":[155],"policy.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
