{"id":"https://openalex.org/W4390423554","doi":"https://doi.org/10.1109/jiot.2023.3348487","title":"Deep Reinforcement Learning for Efficient IoT Data Compression in Smart Railroad Management","display_name":"Deep Reinforcement Learning for Efficient IoT Data Compression in Smart Railroad Management","publication_year":2023,"publication_date":"2023-12-29","ids":{"openalex":"https://openalex.org/W4390423554","doi":"https://doi.org/10.1109/jiot.2023.3348487"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2023.3348487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3348487","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/A5014572905","display_name":"Xuan Chen","orcid":"https://orcid.org/0000-0001-6472-5228"},"institutions":[{"id":"https://openalex.org/I4210101171","display_name":"Zhejiang Industry Polytechnic College","ror":"https://ror.org/0192j7z55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210101171"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuan Chen","raw_affiliation_strings":["Zhejiang Industry Polytechnic College, Shaoxing, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Industry Polytechnic College, Shaoxing, Zhejiang, China","institution_ids":["https://openalex.org/I4210101171"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100576969","display_name":"Qixuan Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qixuan Yu","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076092392","display_name":"Shuhong Dai","orcid":"https://orcid.org/0009-0004-4910-182X"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhong Dai","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-4910-182X","affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016749651","display_name":"Pengfei Sun","orcid":"https://orcid.org/0000-0003-3549-6635"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Sun","raw_affiliation_strings":["School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-3549-6635","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053764344","display_name":"Haichuan Tang","orcid":"https://orcid.org/0000-0002-1686-5565"},"institutions":[{"id":"https://openalex.org/I4210126257","display_name":"CRRC (China)","ror":"https://ror.org/033g21894","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126257"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haichuan Tang","raw_affiliation_strings":["AI Lab of CRRC Academy, Beijing, China","AI lab of CRRC Academy, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1686-5565","affiliations":[{"raw_affiliation_string":"AI Lab of CRRC Academy, Beijing, China","institution_ids":["https://openalex.org/I4210126257"]},{"raw_affiliation_string":"AI lab of CRRC Academy, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073321754","display_name":"Long Cheng","orcid":"https://orcid.org/0000-0003-1638-059X"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]},{"id":"https://openalex.org/I4210101171","display_name":"Zhejiang Industry Polytechnic College","ror":"https://ror.org/0192j7z55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210101171"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Cheng","raw_affiliation_strings":["Zhejiang Industry Polytechnic College, Shaoxing, Zhejiang, China","School of Control and Computer Engineering, North China Electric Power University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1638-059X","affiliations":[{"raw_affiliation_string":"Zhejiang Industry Polytechnic College, Shaoxing, Zhejiang, China","institution_ids":["https://openalex.org/I4210101171"]},{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5014572905"],"corresponding_institution_ids":["https://openalex.org/I4210101171"],"apc_list":null,"apc_paid":null,"fwci":2.2619,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.87118769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"11","issue":"15","first_page":"25494","last_page":"25504"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9467999935150146,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9467999935150146,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10986","display_name":"RFID technology advancements","score":0.9445000290870667,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9101999998092651,"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":0.8512847423553467},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5906134247779846},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5824390649795532},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5571689009666443},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5427286028862},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5027041435241699},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5010688304901123},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.49226728081703186},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.49193692207336426},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4371921718120575},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.42580878734588623},{"id":"https://openalex.org/keywords/data-management","display_name":"Data management","score":0.4229528605937958},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.326678067445755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2951849102973938},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28312110900878906},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23080649971961975},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.21935677528381348}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8512847423553467},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5906134247779846},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5824390649795532},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5571689009666443},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5427286028862},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5027041435241699},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5010688304901123},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.49226728081703186},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.49193692207336426},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4371921718120575},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.42580878734588623},{"id":"https://openalex.org/C1668388","wikidata":"https://www.wikidata.org/wiki/Q1149776","display_name":"Data management","level":2,"score":0.4229528605937958},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.326678067445755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2951849102973938},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28312110900878906},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23080649971961975},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.21935677528381348},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2023.3348487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3348487","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":[{"id":"https://metadata.un.org/sdg/9","score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G2007260814","display_name":null,"funder_award_id":"2023YQ002","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W119919366","https://openalex.org/W2007221293","https://openalex.org/W2060108852","https://openalex.org/W2061043056","https://openalex.org/W2099302229","https://openalex.org/W2100240200","https://openalex.org/W2104984687","https://openalex.org/W2117497587","https://openalex.org/W2122962290","https://openalex.org/W2138044257","https://openalex.org/W2140196014","https://openalex.org/W2140199336","https://openalex.org/W2145339207","https://openalex.org/W2156485730","https://openalex.org/W2327979164","https://openalex.org/W2766357697","https://openalex.org/W2897647060","https://openalex.org/W2970096728","https://openalex.org/W3019713582","https://openalex.org/W3126965823","https://openalex.org/W3156744877","https://openalex.org/W3172842558","https://openalex.org/W3203684044","https://openalex.org/W4283122125","https://openalex.org/W4311300652","https://openalex.org/W4379469740","https://openalex.org/W4384207754","https://openalex.org/W4385731874"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4312996489","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4319161913","https://openalex.org/W4313463379"],"abstract_inverted_index":{"Modern":[0],"smart":[1],"railroad":[2,50,142],"management":[3,51,143],"relies":[4],"heavily":[5],"on":[6,87,124],"Internet":[7],"of":[8,20,120],"Things":[9],"(IoT)-enabled":[10],"sensors":[11],"to":[12],"monitor":[13],"train":[14],"performance,":[15],"resulting":[16],"in":[17,31,127,140],"the":[18],"generation":[19],"extensive":[21],"data":[22,26,41,48,62,71,80,139],"streams.":[23],"The":[24],"ensuing":[25],"influx":[27],"poses":[28],"critical":[29],"challenges":[30],"storage,":[32],"processing,":[33],"and":[34,78],"transmission.":[35],"This":[36,67,130],"paper":[37],"presents":[38],"a":[39,132],"novel":[40],"compression":[42,125],"method":[43],"specifically":[44],"designed":[45],"for":[46,102,135],"IoT-generated":[47],"within":[49],"scenarios.":[52],"Leveraging":[53],"deep":[54],"reinforcement":[55],"learning":[56],"(DRL),":[57],"our":[58,110],"approach":[59,111],"intelligently":[60],"compresses":[61],"from":[63],"onboard":[64],"IoT":[65],"sensors.":[66],"not":[68],"only":[69],"streamlines":[70],"streams,":[72],"ensuring":[73],"essential":[74],"information":[75],"is":[76,81],"retained":[77],"redundant":[79],"pruned,":[82],"but":[83],"also":[84],"alleviates":[85],"strain":[86],"resource-limited":[88],"devices":[89],"such":[90],"as":[91],"edge":[92],"servers":[93],"tasked":[94],"with":[95,116],"complex":[96],"computations":[97],"or":[98],"aggregating":[99],"large":[100],"datasets":[101],"long-term":[103],"trend":[104],"analysis.":[105],"Experimental":[106],"results":[107],"demonstrate":[108],"that":[109],"can":[112],"outperform":[113],"current":[114],"baselines":[115],"achieving":[117],"an":[118],"enhancement":[119],"more":[121],"than":[122],"18%":[123],"rate":[126],"real-time":[128],"configurations.":[129],"signifies":[131],"transformative":[133],"solution":[134],"handling":[136],"IoT-induced":[137],"big":[138],"contemporary":[141],"systems.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}