{"id":"https://openalex.org/W4411949041","doi":"https://doi.org/10.1109/jiot.2025.3585437","title":"AoI-Driven Drone-Assisted Crowdsensing in Social IoT: A Deep Reinforcement Learning Approach","display_name":"AoI-Driven Drone-Assisted Crowdsensing in Social IoT: A Deep Reinforcement Learning Approach","publication_year":2025,"publication_date":"2025-07-02","ids":{"openalex":"https://openalex.org/W4411949041","doi":"https://doi.org/10.1109/jiot.2025.3585437"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3585437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3585437","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5054123421","display_name":"Zheng Zhang","orcid":"https://orcid.org/0009-0002-5689-4253"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Zhang","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-5689-4253","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100426898","display_name":"Jingjing Wang","orcid":"https://orcid.org/0000-0003-3170-8952"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Wang","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3170-8952","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054002624","display_name":"Jianrui Chen","orcid":"https://orcid.org/0000-0003-3189-4222"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianrui Chen","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3189-4222","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113868728","display_name":"Ziyang Wang","orcid":"https://orcid.org/0000-0002-1668-0528"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyang Wang","raw_affiliation_strings":["School of Electronic Information and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1668-0528","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101668133","display_name":"Peng Pan","orcid":"https://orcid.org/0000-0002-6885-7727"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Pan","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6885-7727","affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":2.5034,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91366552,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"12","issue":"17","first_page":"35014","last_page":"35024"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.9758999943733215,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9656000137329102,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/drone","display_name":"Drone","score":0.8478307723999023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7787727117538452},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7357879281044006},{"id":"https://openalex.org/keywords/crowdsensing","display_name":"Crowdsensing","score":0.7194374799728394},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5201821327209473},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45921918749809265},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.33962932229042053}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.8478307723999023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7787727117538452},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7357879281044006},{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.7194374799728394},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5201821327209473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45921918749809265},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.33962932229042053},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3585437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3585437","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G2360824495","display_name":null,"funder_award_id":"U24A20213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4489542801","display_name":"\u65e0\u4eba\u673a\u81ea\u7ec4\u7f51\u901a\u4fe1\u4e0e\u63a7\u5236\u534f\u540c\u878d\u5408\u7814\u7a76","funder_award_id":"LMS25F010007","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G7518945406","display_name":null,"funder_award_id":"62222101","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W2026892459","https://openalex.org/W2617547828","https://openalex.org/W2770587725","https://openalex.org/W2964023906","https://openalex.org/W2966659925","https://openalex.org/W2998186469","https://openalex.org/W2999146029","https://openalex.org/W3005478472","https://openalex.org/W3012431863","https://openalex.org/W3017015149","https://openalex.org/W3048295601","https://openalex.org/W3085424287","https://openalex.org/W3085429470","https://openalex.org/W3090108601","https://openalex.org/W3093966334","https://openalex.org/W3094986924","https://openalex.org/W3108103912","https://openalex.org/W3110603219","https://openalex.org/W3119143557","https://openalex.org/W3131267767","https://openalex.org/W3137257456","https://openalex.org/W3156032009","https://openalex.org/W4283211846","https://openalex.org/W4285211583","https://openalex.org/W4285243594","https://openalex.org/W4295700726","https://openalex.org/W4296473453","https://openalex.org/W4313034315","https://openalex.org/W4313146764","https://openalex.org/W4317437780","https://openalex.org/W4366504064","https://openalex.org/W4387587706","https://openalex.org/W4387682238","https://openalex.org/W4387682310","https://openalex.org/W4387682320","https://openalex.org/W4389230688","https://openalex.org/W4390075244","https://openalex.org/W4392251589","https://openalex.org/W4392796487","https://openalex.org/W4399990441","https://openalex.org/W4401878785","https://openalex.org/W4406611551","https://openalex.org/W4407900136","https://openalex.org/W4407901494","https://openalex.org/W4408858705","https://openalex.org/W6738796088","https://openalex.org/W6755069753","https://openalex.org/W6793444178"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2059768187","https://openalex.org/W4312858960","https://openalex.org/W4386036939","https://openalex.org/W4379143281","https://openalex.org/W2605096541","https://openalex.org/W3200286695","https://openalex.org/W4212885606"],"abstract_inverted_index":{"The":[0],"extensive":[1],"deployment":[2],"of":[3,5,27,62,77,106,118,129,139,168,181,190,198],"Internet":[4],"Things":[6],"(IoT)":[7],"devices":[8,83,108],"across":[9],"diverse":[10],"industries":[11],"has":[12],"introduced":[13],"substantial":[14],"challenges":[15],"in":[16,50,121,185],"information":[17,47,119,130],"collection,":[18],"which":[19],"exactly":[20],"hinders":[21],"its":[22,28],"further":[23],"advancement.":[24],"By":[25],"virtue":[26],"flexibility":[29],"and":[30,59,79,109,132,157,172,179,195],"mobility,":[31],"mobile":[32,37],"crowdsensing":[33,71,96,122,202],"(MCS),":[34],"particularly":[35],"drone-assisted":[36],"crowdsensing,":[38],"is":[39,170],"regarded":[40],"as":[41,148],"a":[42,74,85,93,149,159],"new":[43],"paradigm":[44],"for":[45],"addressing":[46],"collection":[48],"problems":[49],"IoT":[51,82,98,107],"environments.":[52],"Nonetheless,":[53],"owing":[54],"to":[55,67,162],"the":[56,70,103,116,127,137,145,173,177,182,188,191,201],"inherent":[57],"size":[58],"energy":[60,134,196],"constraints":[61],"drones,":[63],"planning":[64],"their":[65],"trajectories":[66],"efficiently":[68],"perform":[69],"tasks":[72],"from":[73],"large":[75],"number":[76],"heterogeneous":[78],"spatiotemporally":[80],"distributed":[81],"presents":[84],"significant":[86],"problem.":[87,165],"In":[88],"this":[89,164],"paper,":[90],"we":[91,124],"develop":[92],"multi-drone":[94,140],"assisted":[95],"social":[97,104,112],"(SIoT)":[99],"system":[100,194],"that":[101],"integrates":[102],"attributes":[105],"enables":[110],"performing":[111],"community-oriented":[113],"crowdsensing.":[114],"Given":[115],"significance":[117],"freshness":[120],"tasks,":[123],"jointly":[125],"optimize":[126],"age":[128],"(AoI)":[131],"drone":[133],"consumption":[135,197],"within":[136],"problem":[138,147],"trajectory":[141],"planning.":[142],"We":[143],"formulate":[144],"aforementioned":[146],"decentralized":[150],"partially":[151],"observable":[152],"Markov":[153],"decision":[154],"process":[155],"(Dec-POMDP)":[156],"propose":[158],"deep-reinforcement-learning-based":[160],"algorithm":[161,184],"address":[163],"A":[166],"series":[167],"experiments":[169],"conducted":[171],"simulation":[174],"results":[175],"demonstrate":[176],"superiority":[178],"robustness":[180],"proposed":[183],"effectively":[186],"balancing":[187],"AoI":[189],"whole":[192],"SIoT":[193],"drones":[199],"during":[200],"tasks.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
