{"id":"https://openalex.org/W4221138932","doi":"https://doi.org/10.1109/tvt.2022.3199677","title":"A Deep Reinforcement Learning-Based Caching Strategy for IoT Networks With Transient Data","display_name":"A Deep Reinforcement Learning-Based Caching Strategy for IoT Networks With Transient Data","publication_year":2022,"publication_date":"2022-08-17","ids":{"openalex":"https://openalex.org/W4221138932","doi":"https://doi.org/10.1109/tvt.2022.3199677"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2022.3199677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2022.3199677","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Transactions on Vehicular Technology","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/A5027167901","display_name":"Hongda Wu","orcid":"https://orcid.org/0000-0001-8244-928X"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Hongda Wu","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077771247","display_name":"Ali Nasehzadeh","orcid":null},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ali Nasehzadeh","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338634","display_name":"Ping Wang","orcid":"https://orcid.org/0000-0002-1599-5480"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ping Wang","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027167901"],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":3.4066,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.9252112,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"71","issue":"12","first_page":"13310","last_page":"13319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9998999834060669,"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/T11478","display_name":"Caching and Content Delivery","score":0.9998999834060669,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9944000244140625,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9887999892234802,"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":0.8402285575866699},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7594711184501648},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.7475468516349792},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5600945353507996},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5422327518463135},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5388113856315613},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5376665592193604},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5252532362937927},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.48889580368995667},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4806481897830963},{"id":"https://openalex.org/keywords/transient","display_name":"Transient (computer programming)","score":0.4320889115333557},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.42658984661102295},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4106295704841614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18686023354530334},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.13531383872032166},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1008138656616211}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8402285575866699},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7594711184501648},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.7475468516349792},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5600945353507996},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5422327518463135},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5388113856315613},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5376665592193604},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5252532362937927},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.48889580368995667},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4806481897830963},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.4320889115333557},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.42658984661102295},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4106295704841614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18686023354530334},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.13531383872032166},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1008138656616211},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/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/tvt.2022.3199677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2022.3199677","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W1771410628","https://openalex.org/W1973252856","https://openalex.org/W2131806537","https://openalex.org/W2145339207","https://openalex.org/W2271840356","https://openalex.org/W2550555189","https://openalex.org/W2736601468","https://openalex.org/W2761862361","https://openalex.org/W2789896367","https://openalex.org/W2898652425","https://openalex.org/W2900617671","https://openalex.org/W2903523957","https://openalex.org/W2925458104","https://openalex.org/W2945082786","https://openalex.org/W2946566042","https://openalex.org/W2963805280","https://openalex.org/W2964331420","https://openalex.org/W2969218621","https://openalex.org/W2980507968","https://openalex.org/W2999263473","https://openalex.org/W3016207298","https://openalex.org/W3035965352","https://openalex.org/W3044812257","https://openalex.org/W3099878876","https://openalex.org/W3103793971","https://openalex.org/W3113239520","https://openalex.org/W3115428793","https://openalex.org/W3117089396","https://openalex.org/W3216772467","https://openalex.org/W4300626667","https://openalex.org/W6638018090","https://openalex.org/W6694517276","https://openalex.org/W6741002519","https://openalex.org/W6780559895","https://openalex.org/W6804601995"],"related_works":["https://openalex.org/W4311097251","https://openalex.org/W4245926026","https://openalex.org/W2586548817","https://openalex.org/W4362501864","https://openalex.org/W2625093826","https://openalex.org/W4306904969","https://openalex.org/W2950174689","https://openalex.org/W4380318855","https://openalex.org/W4200598720","https://openalex.org/W2921026492"],"abstract_inverted_index":{"The":[0,149],"Internet":[1],"of":[2,33,43,62,111,124,151,172,179],"Things":[3],"(IoT)":[4],"has":[5],"been":[6],"continuously":[7],"rising":[8],"in":[9,115,146,170],"the":[10,30,59,103,112,116,132,160,180],"past":[11],"few":[12],"years,":[13],"and":[14,25,39,107,121,165,176],"its":[15],"potentials":[16],"are":[17,29,46],"now":[18],"more":[19],"apparent.":[20],"However,":[21],"transient":[22],"data":[23,119,126],"generation":[24],"limited":[26,122],"energy":[27,109,177],"resources":[28],"major":[31],"bottlenecks":[32],"these":[34],"networks.":[35,148],"Besides,":[36],"minimum":[37],"delay":[38],"other":[40],"conventional":[41,162],"quality":[42,61],"service":[44,63],"measurements":[45],"still":[47],"valid":[48],"requirements":[49,64],"to":[50,79,141],"meet.":[51],"An":[52],"efficient":[53],"caching":[54,83,99,144,163],"policy":[55],"can":[56],"help":[57],"meet":[58],"standard":[60],"while":[65],"bypassing":[66],"IoT":[67,113,125,147,181],"networks'":[68],"specific":[69],"limitations.":[70],"Adopting":[71],"deep":[72],"reinforcement":[73],"learning":[74],"(DRL)":[75],"algorithms":[76],"enables":[77],"us":[78],"develop":[80],"an":[81,166],"effective":[82],"scheme":[84,100],"without":[85],"needing":[86],"prior":[87],"knowledge":[88],"or":[89],"contextual":[90],"information.":[91],"In":[92],"this":[93],"work,":[94],"we":[95,136],"propose":[96],"a":[97,138],"DRL-based":[98,168],"that":[101,155],"improves":[102],"cache":[104,173],"hit":[105,174],"rate":[106,175],"reduces":[108],"consumption":[110,178],"networks,":[114],"meanwhile,":[117],"taking":[118],"freshness":[120],"lifetime":[123],"into":[127],"account.":[128],"To":[129],"better":[130],"capture":[131],"regional-different":[133],"popularity":[134],"distribution,":[135],"adopt":[137],"hierarchical":[139],"architecture":[140],"deploy":[142],"edge":[143],"nodes":[145],"results":[150],"comprehensive":[152],"experiments":[153],"show":[154],"our":[156],"proposed":[157],"method":[158],"outperforms":[159],"well-known":[161],"policies":[164],"existing":[167],"solution":[169],"terms":[171],"networks":[182],"by":[183],"considerable":[184],"margins.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
