{"id":"https://openalex.org/W7118171362","doi":"https://doi.org/10.1109/jiot.2026.3650802","title":"AOI-Aware Self-Powered Sensors in HSR Communication Networks: Intelligent Decision-Making and Resource Allocation","display_name":"AOI-Aware Self-Powered Sensors in HSR Communication Networks: Intelligent Decision-Making and Resource Allocation","publication_year":2026,"publication_date":"2026-01-05","ids":{"openalex":"https://openalex.org/W7118171362","doi":"https://doi.org/10.1109/jiot.2026.3650802"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2026.3650802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3650802","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/A5121924817","display_name":"Jixiang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jixiang Wang","raw_affiliation_strings":["College of Communication Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121938321","display_name":"Huawei Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huawei Wang","raw_affiliation_strings":["CRRC Changchun Railway Vehicles Company Ltd., Changchun, China"],"affiliations":[{"raw_affiliation_string":"CRRC Changchun Railway Vehicles Company Ltd., Changchun, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061370547","display_name":"Yinghan Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghan Hu","raw_affiliation_strings":["College of Communication Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109775742","display_name":"Yance Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yance Wang","raw_affiliation_strings":["University of Minnesota Twin Cities, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota Twin Cities, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121037078","display_name":"Fengye Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengye Hu","raw_affiliation_strings":["College of Communication Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5121924817"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02022559,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"6","first_page":"10985","last_page":"11000"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":0.9735999703407288,"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":0.9735999703407288,"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/T12079","display_name":"IoT Networks and Protocols","score":0.007600000128149986,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.004399999976158142,"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/robustness","display_name":"Robustness (evolution)","score":0.7075999975204468},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.6029999852180481},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5992000102996826},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5530999898910522},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5072000026702881},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.48339998722076416},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.4781999886035919},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.4505000114440918},{"id":"https://openalex.org/keywords/time-allocation","display_name":"Time allocation","score":0.38339999318122864}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8075000047683716},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7075999975204468},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.6029999852180481},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5992000102996826},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5530999898910522},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5072000026702881},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.48339998722076416},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4790000021457672},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.4781999886035919},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.4505000114440918},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39320001006126404},{"id":"https://openalex.org/C180518391","wikidata":"https://www.wikidata.org/wiki/Q355217","display_name":"Time allocation","level":2,"score":0.38339999318122864},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.366100013256073},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.3596999943256378},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.3582000136375427},{"id":"https://openalex.org/C114237682","wikidata":"https://www.wikidata.org/wiki/Q5072483","display_name":"Channel allocation schemes","level":3,"score":0.3544999957084656},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.34279999136924744},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.3346000015735626},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.31459999084472656},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.31349998712539673},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C176563091","wikidata":"https://www.wikidata.org/wiki/Q669238","display_name":"Intelligent sensor","level":3,"score":0.2703999876976013},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C192126672","wikidata":"https://www.wikidata.org/wiki/Q1068715","display_name":"Telecommunications network","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2026.3650802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3650802","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":[],"awards":[{"id":"https://openalex.org/G6840317757","display_name":null,"funder_award_id":"U21A20445","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":47,"referenced_works":["https://openalex.org/W1921873222","https://openalex.org/W2001981003","https://openalex.org/W2613120170","https://openalex.org/W2784007933","https://openalex.org/W2959698263","https://openalex.org/W2996238281","https://openalex.org/W3006127356","https://openalex.org/W3008987547","https://openalex.org/W3015159979","https://openalex.org/W3015286941","https://openalex.org/W3029554135","https://openalex.org/W3032247105","https://openalex.org/W3033936606","https://openalex.org/W3044015199","https://openalex.org/W3045699231","https://openalex.org/W3086633840","https://openalex.org/W3089893205","https://openalex.org/W4250589301","https://openalex.org/W4284969696","https://openalex.org/W4285170173","https://openalex.org/W4285243594","https://openalex.org/W4291805098","https://openalex.org/W4293057576","https://openalex.org/W4312302009","https://openalex.org/W4312880298","https://openalex.org/W4327927982","https://openalex.org/W4382119947","https://openalex.org/W4384519186","https://openalex.org/W4384787689","https://openalex.org/W4385324679","https://openalex.org/W4386275795","https://openalex.org/W4386472804","https://openalex.org/W4391407120","https://openalex.org/W4393241413","https://openalex.org/W4395056574","https://openalex.org/W4399527139","https://openalex.org/W4400188055","https://openalex.org/W4405023122","https://openalex.org/W4405520875","https://openalex.org/W4406046760","https://openalex.org/W4408324425","https://openalex.org/W4410614327","https://openalex.org/W4411143284","https://openalex.org/W4411203081","https://openalex.org/W4411358739","https://openalex.org/W4411551300","https://openalex.org/W4413074777"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"intelligent":[3,131],"decision-making":[4],"and":[5,45,53,116,172,188,198,203,214],"resource":[6,59],"allocation":[7,60,159],"for":[8,93,160],"self-powered":[9],"sensors":[10,25],"with":[11],"the":[12,28,37,49,65,77,111,121,140,156,164,196,201,205,209],"age":[13],"of":[14,42,186,200,211],"information":[15],"(AOI)":[16],"orientation":[17],"in":[18,40,216],"high-speed":[19],"railway":[20],"(HSR)":[21],"communication":[22,46],"networks.":[23],"The":[24,192],"innovatively":[26],"access":[27,33],"network":[29],"via":[30],"non-orthogonal":[31],"multiple":[32,169],"(NOMA),":[34],"thereby":[35],"alleviating":[36],"train\u2019s":[38],"burden":[39],"terms":[41],"both":[43],"energy":[44,51,134,141],"resources.":[47],"For":[48],"sensors\u2019":[50],"management":[52],"data":[54,66,212],"offloading,":[55],"we":[56,101,167],"formulate":[57],"a":[58,70,82,103,124,150],"problem":[61,113],"aimed":[62],"at":[63,120],"maximizing":[64],"offloading":[67],"volume":[68,210],"within":[69],"single":[71],"base":[72],"station":[73],"(BS)":[74],"while":[75],"ensuring":[76],"average":[78],"AOI":[79,215],"requirement.":[80],"As":[81],"complex":[83],"cumulative":[84],"reward":[85],"problem,":[86,123],"directly":[87],"applying":[88],"deep":[89],"reinforcement":[90],"learning":[91],"(DRL)":[92],"solution":[94],"is":[95,127],"neither":[96],"elegant":[97],"nor":[98],"efficient.":[99],"Therefore,":[100],"propose":[102],"convex":[104,151],"constrained":[105],"soft":[106],"actorcritic":[107],"(CCSAC)":[108],"scheme,":[109],"decomposing":[110],"optimization":[112,152],"into":[114],"long-term":[115,122],"short-term":[117],"subproblems.":[118],"Specifically,":[119],"DRL-based":[125],"policy":[126],"used":[128],"to":[129,149],"make":[130],"decisions":[132],"on":[133],"variations.":[135],"In":[136,163],"each":[137],"time":[138],"slot,":[139],"variation":[142],"derived":[143],"from":[144],"DRL":[145],"serves":[146],"as":[147],"input":[148],"model":[153],"that":[154,161],"determines":[155],"optimal":[157],"resources":[158],"slot.":[162],"simulation":[165,193],"section,":[166],"compare":[168],"baseline":[170],"algorithms":[171],"conduct":[173],"extensive":[174],"tests":[175],"under":[176],"various":[177],"conditions,":[178],"including":[179],"different":[180],"train":[181],"speeds,":[182],"sensor":[183],"positions,":[184],"numbers":[185],"sensors,":[187],"channel":[189],"estimation":[190],"error.":[191],"results":[194],"demonstrate":[195],"effectiveness":[197],"robustness":[199],"algorithm,":[202],"indicate":[204],"important":[206],"trade-off":[207],"between":[208],"transmission":[213],"HSR":[217],"scenarios.":[218]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-05T00:00:00"}
