{"id":"https://openalex.org/W4387869929","doi":"https://doi.org/10.1109/icc45041.2023.10278748","title":"AoI Minimization Using Multi-Agent Proximal Policy Optimization in UAVs-Assisted Sensor Networks","display_name":"AoI Minimization Using Multi-Agent Proximal Policy Optimization in UAVs-Assisted Sensor Networks","publication_year":2023,"publication_date":"2023-05-28","ids":{"openalex":"https://openalex.org/W4387869929","doi":"https://doi.org/10.1109/icc45041.2023.10278748"},"language":"en","primary_location":{"id":"doi:10.1109/icc45041.2023.10278748","doi":"https://doi.org/10.1109/icc45041.2023.10278748","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45041.2023.10278748","pdf_url":null,"source":{"id":"https://openalex.org/S4306419201","display_name":"International Conference on Communications","issn_l":"1550-3607","issn":["1550-3607"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2023 - IEEE International Conference on Communications","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5042251443","display_name":"Yousef Emami","orcid":"https://orcid.org/0000-0002-8842-2616","observed_orcids":["https://orcid.org/0000-0002-8842-2616"]},"institutions":[{"id":"https://openalex.org/I4405252524","display_name":"Centro de Investiga\u00e7\u00e3o em Sistemas Computacionais Embebidos e de Tempo-Real","ror":"https://ror.org/00mfa2s19","country_code":"PT","type":"education","lineage":["https://openalex.org/I4405252524"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Yousef Emami","raw_affiliation_strings":["CISTER Research Centre, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CISTER Research Centre, Porto, Portugal","institution_ids":["https://openalex.org/I4405252524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399848","display_name":"Kai Li","orcid":"https://orcid.org/0000-0002-0517-2392","observed_orcids":["https://orcid.org/0000-0002-0517-2392","https://orcid.org/0009-0007-2126-504X"]},"institutions":[{"id":"https://openalex.org/I4405252524","display_name":"Centro de Investiga\u00e7\u00e3o em Sistemas Computacionais Embebidos e de Tempo-Real","ror":"https://ror.org/00mfa2s19","country_code":"PT","type":"education","lineage":["https://openalex.org/I4405252524"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Kai Li","raw_affiliation_strings":["CISTER Research Centre, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CISTER Research Centre, Porto, Portugal","institution_ids":["https://openalex.org/I4405252524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002187290","display_name":"Yong Niu","orcid":"https://orcid.org/0000-0002-7278-5527","observed_orcids":["https://orcid.org/0000-0002-7278-5527"]},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Niu","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078183455","display_name":"Eduardo Tovar","orcid":"https://orcid.org/0000-0001-8979-3876","observed_orcids":["https://orcid.org/0000-0001-8979-3876"]},"institutions":[{"id":"https://openalex.org/I4405252524","display_name":"Centro de Investiga\u00e7\u00e3o em Sistemas Computacionais Embebidos e de Tempo-Real","ror":"https://ror.org/00mfa2s19","country_code":"PT","type":"education","lineage":["https://openalex.org/I4405252524"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Eduardo Tovar","raw_affiliation_strings":["CISTER Research Centre, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CISTER Research Centre, Porto, Portugal","institution_ids":["https://openalex.org/I4405252524"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4698,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90176497,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"228","last_page":"233"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":0.9883000254631042,"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":0.9883000254631042,"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/T11133","display_name":"UAV Applications and Optimization","score":0.010999999940395355,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/age-of-information","display_name":"age of information","score":0.9480000138282776},{"id":"https://openalex.org/keywords/uav-swarms","display_name":"UAV swarms","score":0.7179999947547913},{"id":"https://openalex.org/keywords/multi-agent-reinforcement-learning","display_name":"multi-agent reinforcement learning","score":0.6349999904632568},{"id":"https://openalex.org/keywords/proximal-policy-optimization","display_name":"proximal policy optimization","score":0.968999981880188},{"id":"https://openalex.org/keywords/multi-agent-markov-decision-process","display_name":"multi-agent Markov decision process","score":0.8050000071525574},{"id":"https://openalex.org/keywords/uav-trajectory-planning","display_name":"UAV trajectory planning","score":0.824999988079071},{"id":"https://openalex.org/keywords/data-collection-scheduling","display_name":"data collection scheduling","score":0.9330000281333923},{"id":"https://openalex.org/keywords/on-policy-learning","display_name":"on-policy learning","score":0.6520000100135803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7193278074264526},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.6582819223403931},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.6142091751098633},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.6102327704429626},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5895405411720276},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5793710947036743},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.510522723197937},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.47188225388526917},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.42242950201034546},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.41051578521728516},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.3421695828437805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20535287261009216},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1366126835346222},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/icc45041.2023.10278748","doi":"https://doi.org/10.1109/icc45041.2023.10278748","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45041.2023.10278748","pdf_url":null,"source":{"id":"https://openalex.org/S4306419201","display_name":"International Conference on Communications","issn_l":"1550-3607","issn":["1550-3607"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2023 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4943999946117401,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G342761634","display_name":null,"funder_award_id":"62231009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1191599655","https://openalex.org/W2031834036","https://openalex.org/W2382354666","https://openalex.org/W2796882881","https://openalex.org/W2944190409","https://openalex.org/W3043659689","https://openalex.org/W3084578038","https://openalex.org/W3117792646","https://openalex.org/W3134949638","https://openalex.org/W3154867485","https://openalex.org/W3156827694","https://openalex.org/W3162366242","https://openalex.org/W3197321928","https://openalex.org/W3197342323","https://openalex.org/W3201545796","https://openalex.org/W4213147678","https://openalex.org/W4226215778","https://openalex.org/W4280601641","https://openalex.org/W4285287670","https://openalex.org/W4312391614","https://openalex.org/W4386590944"],"related_works":["https://openalex.org/W4396243197","https://openalex.org/W4396777879","https://openalex.org/W4315630314","https://openalex.org/W4387869578","https://openalex.org/W2963085502","https://openalex.org/W4396859058","https://openalex.org/W2962262066","https://openalex.org/W7163078387","https://openalex.org/W4385061690","https://openalex.org/W4401509262"],"abstract_inverted_index":{"Unmanned":[0],"Aerial":[1],"Vehicle":[2],"(UAV)":[3],"swarm":[4],"can":[5],"be":[6],"employed":[7],"to":[8,43,55,64,162],"collect":[9],"time-sensitive":[10],"data":[11,26,49,170],"of":[12,22,37,52,60,67,74,92,112,122,166,173],"ground":[13,38,69,96,175],"sensors":[14,97],"in":[15,117,125,131],"remote":[16],"and":[17,25,31,48,71,98,115,169,186,200],"hostile":[18],"areas.":[19],"Inadequate":[20],"design":[21],"UAVs'":[23],"trajectories":[24,47,73,165],"collection":[27,50,171],"schedule":[28,172],"incur":[29],"delay":[30],"negatively":[32],"impact":[33],"the":[34,46,57,65,68,72,75,95,99,120,137,142,164,167,174,181,191,201],"information":[35],"freshness":[36],"sensors.":[39,176],"This":[40],"paper":[41],"aims":[42],"jointly":[44],"optimize":[45,163],"schedules":[51],"multiple":[53,123],"UAVs":[54,168],"minimize":[56],"average":[58],"Age":[59],"Information":[61],"(AoI),":[62],"adapting":[63],"AoI":[66,93,138,189],"sensors,":[70],"UAVs.":[76],"The":[77],"optimization":[78],"is":[79],"formulated":[80,143],"as":[81],"a":[82,104,109,126],"multi-agent":[83],"Markov":[84],"decision":[85],"process":[86],"(MMDP),":[87],"where":[88],"network":[89,107,113],"states":[90,114],"consist":[91],"at":[94],"flight":[100,152],"trajectories.":[101],"In":[102],"practice,":[103],"multi-UAV-assisted":[105],"sensor":[106],"contains":[108],"large":[110,127],"number":[111],"actions":[116,121],"MMDP.":[118],"Exploring":[119],"agents":[124],"state":[128],"space":[129],"results":[130,178],"considerable":[132],"training":[133],"uncertainties":[134],"that":[135,180],"destabilize":[136],"minimization.":[139],"For":[140],"stabilizing":[141],"MMDP,":[144],"we":[145],"propose":[146],"an":[147,159],"onboard":[148],"Proximal":[149],"Policy":[150],"Optimization-based":[151],"resource":[153],"allocation":[154],"scheme":[155],"(PPO-FRAS),":[156],"which":[157],"conducts":[158],"on-policy":[160],"learning":[161],"Numerical":[177],"show":[179],"proposed":[182],"PPO-FRAS":[183],"achieves":[184],"28%":[185],"59%":[187],"lower":[188],"than":[190],"existing":[192],"trajectory":[193],"planning":[194],"solution":[195],"based":[196],"on":[197],"Deep":[198],"Q-Network":[199],"greedy":[202],"algorithm,":[203],"respectively.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-10-24T00:00:00"}