{"id":"https://openalex.org/W4401508097","doi":"https://doi.org/10.1109/infocom52122.2024.10621161","title":"Learning-based Scheduling for Information Gathering with QoS Constraints","display_name":"Learning-based Scheduling for Information Gathering with QoS Constraints","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4401508097","doi":"https://doi.org/10.1109/infocom52122.2024.10621161"},"language":"en","primary_location":{"id":"doi:10.1109/infocom52122.2024.10621161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom52122.2024.10621161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications","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/A5115593750","display_name":"Qingsong Liu","orcid":"https://orcid.org/0000-0003-1979-8107"},"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":"Qingsong Liu","raw_affiliation_strings":["Tsinghua University,IIIS,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,IIIS,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111287781","display_name":"Weihang Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weihang Xu","raw_affiliation_strings":["University of Washington,USA"],"affiliations":[{"raw_affiliation_string":"University of Washington,USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010064740","display_name":"Zhixuan Fang","orcid":"https://orcid.org/0000-0001-7979-4269"},"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":"Zhixuan Fang","raw_affiliation_strings":["Tsinghua University,IIIS,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,IIIS,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5115593750"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.8263,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86161776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"431","last_page":"440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.8852999806404114,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.8852999806404114,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.7710999846458435,"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/T12288","display_name":"Optimization and Search Problems","score":0.7692999839782715,"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/computer-science","display_name":"Computer science","score":0.7671694755554199},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5889667272567749},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5681142210960388},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4302672743797302},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2829674184322357},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.149261474609375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7671694755554199},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5889667272567749},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5681142210960388},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4302672743797302},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2829674184322357},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.149261474609375},{"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/infocom52122.2024.10621161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom52122.2024.10621161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1985441584","https://openalex.org/W2069153403","https://openalex.org/W2087294514","https://openalex.org/W2154361531","https://openalex.org/W2168405694","https://openalex.org/W2791487310","https://openalex.org/W2919158374","https://openalex.org/W2965037262","https://openalex.org/W2966956172","https://openalex.org/W2975867480","https://openalex.org/W2990738158","https://openalex.org/W2992286867","https://openalex.org/W2996787464","https://openalex.org/W3005171350","https://openalex.org/W3009288222","https://openalex.org/W3024735955","https://openalex.org/W3035596066","https://openalex.org/W3047517574","https://openalex.org/W3048528828","https://openalex.org/W3091499726","https://openalex.org/W3097276919","https://openalex.org/W3155217882","https://openalex.org/W3155268064","https://openalex.org/W3156349181","https://openalex.org/W3174708786","https://openalex.org/W3176620738","https://openalex.org/W3201795538","https://openalex.org/W3208807216","https://openalex.org/W4221156940","https://openalex.org/W4241632454","https://openalex.org/W4250739957","https://openalex.org/W4283217744","https://openalex.org/W4283805055","https://openalex.org/W4288555398","https://openalex.org/W4386260563","https://openalex.org/W4393160398","https://openalex.org/W6758593977","https://openalex.org/W6759651888","https://openalex.org/W6766502378","https://openalex.org/W6773477875","https://openalex.org/W6777641553","https://openalex.org/W6779771351","https://openalex.org/W6790330943","https://openalex.org/W6793917791","https://openalex.org/W6810485500","https://openalex.org/W6846378482","https://openalex.org/W6847229461"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"The":[0,79],"problem":[1,58],"of":[2,23,75,145,178],"scheduling":[3],"packets":[4,60],"from":[5,61],"multiple":[6],"sources":[7,63,95],"over":[8,96],"unreliable":[9],"channels":[10],"has":[11,71],"attracted":[12],"much":[13],"attention":[14],"due":[15],"to":[16,56,98,188,212],"its":[17,100],"great":[18],"practicability":[19],"in":[20,89,175],"the":[21,31,37,40,92,113,142,155,159,176,184],"Internet":[22],"things":[24],"systems.":[25],"Most":[26],"previous":[27],"work":[28],"focuses":[29],"on":[30,132],"throughput/energy":[32],"consumption/operational":[33],"cost":[34],"optimization":[35],"or":[36],"setting":[38,55],"that":[39,139,158,194],"channel":[41,85,160],"information":[42,80],"is":[43,87,162],"known":[44,163],"a":[45,52,72,106,151,164,171,198],"priori.":[46],"In":[47,154],"this":[48,57],"paper,":[49],"we":[50,125,182,208],"consider":[51],"more":[53],"generic":[54],"where":[59,116],"different":[62,65],"have":[64],"values,":[66,181],"and":[67,84,91,121,148,192],"each":[68,110,146,203],"heterogeneous":[69],"source":[70,147],"distinct":[73],"Quality":[74],"Service":[76],"(QoS)":[77],"requirement.":[78,206],"about":[81],"packet":[82,102,117,180],"value":[83],"reliability":[86,161],"unknown":[88],"advance,":[90],"controller":[93],"schedules":[94],"time":[97],"maximize":[99],"collected":[101],"values":[103,118],"while":[104,201],"providing":[105],"QoS":[107,143,205],"guarantee":[108,170],"for":[109],"source.":[111],"For":[112],"stationary":[114],"case":[115,157,177],"are":[119],"independent":[120],"identically":[122],"distributed":[123],"(i.i.d.),":[124],"propose":[126],"an":[127],"efficient":[128],"learning":[129],"policy":[130],"based":[131],"linear-programming":[133],"(LP)":[134],"methodology.":[135],"Our":[136],"proof":[137],"shows":[138],"it":[140,195],"meets":[141],"constraint":[144],"only":[149],"incurs":[150],"logarithmic":[152],"regret.":[153,173],"special":[156],"priori,":[165],"our":[166,189,214],"algorithm":[167,191],"can":[168],"further":[169],"bounded":[172],"Furthermore,":[174],"non-stationary":[179],"apply":[183],"sliding":[185],"window":[186],"technique":[187],"LP-based":[190],"prove":[193],"still":[196],"guarantees":[197],"sublinear":[199],"regret":[200],"meeting":[202],"source\u2019s":[204],"Finally,":[207],"provide":[209],"numerical":[210],"simulations":[211],"support":[213],"theoretical":[215],"results.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
