{"id":"https://openalex.org/W4414738164","doi":"https://doi.org/10.1109/jiot.2026.3666194","title":"FRSICL: LLM-Enabled In-Context Learning Flight Resource Allocation for Fresh Data Collection in UAV-Assisted Wildfire Monitoring","display_name":"FRSICL: LLM-Enabled In-Context Learning Flight Resource Allocation for Fresh Data Collection in UAV-Assisted Wildfire Monitoring","publication_year":2026,"publication_date":"2026-02-19","ids":{"openalex":"https://openalex.org/W4414738164","doi":"https://doi.org/10.1109/jiot.2026.3666194"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2026.3666194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3666194","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":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2507.10134","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042251443","display_name":"Yousef Emami","orcid":"https://orcid.org/0000-0002-8842-2616"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yousef Emami","raw_affiliation_strings":["Real-Time and Embedded Computing Systems Research Centre (CISTER), Porto, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-8842-2616","affiliations":[{"raw_affiliation_string":"Real-Time and Embedded Computing Systems Research Centre (CISTER), Porto, Portugal","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080850676","display_name":"Hao Zhou","orcid":"https://orcid.org/0000-0002-5511-4609"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hao Zhou","raw_affiliation_strings":["School of Computer Science, McGill University, Montreal, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0002-5511-4609","affiliations":[{"raw_affiliation_string":"School of Computer Science, McGill University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053255420","display_name":"Miguel Guti\u00e9rrez Gait\u00e1n","orcid":"https://orcid.org/0000-0002-3307-8731"},"institutions":[{"id":"https://openalex.org/I162148367","display_name":"Pontificia Universidad Cat\u00f3lica de Chile","ror":"https://ror.org/04teye511","country_code":"CL","type":"education","lineage":["https://openalex.org/I162148367"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Miguel Guti\u00e9rrez Gait\u00e1n","raw_affiliation_strings":["Pontificia Universidad Católica de Chile, Santiago, Chile"],"raw_orcid":"https://orcid.org/0000-0002-3307-8731","affiliations":[{"raw_affiliation_string":"Pontificia Universidad Católica de Chile, Santiago, Chile","institution_ids":["https://openalex.org/I162148367"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kai Li","orcid":"https://orcid.org/0000-0002-0517-2392"},"institutions":[{"id":"https://openalex.org/I4210137384","display_name":"Centre for Health Technology and Services Research","ror":"https://ror.org/0434vme59","country_code":"PT","type":"facility","lineage":["https://openalex.org/I4210137384"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Kai Li","raw_affiliation_strings":["CISTER, Porto, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-0517-2392","affiliations":[{"raw_affiliation_string":"CISTER, Porto, Portugal","institution_ids":["https://openalex.org/I4210137384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100751931","display_name":"L\u00fa\u0131s Almeida","orcid":"https://orcid.org/0000-0002-9544-3028"},"institutions":[{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Luis Almeida","raw_affiliation_strings":["Instituto de Telecomunicações, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-9544-3028","affiliations":[{"raw_affiliation_string":"Instituto de Telecomunicações, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal","institution_ids":["https://openalex.org/I4210120471"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.01038009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"13","issue":"10","first_page":"21613","last_page":"21622"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11489","display_name":"Air Traffic Management and Optimization","score":0.9564999938011169,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9495999813079834,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.6693000197410583},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.590399980545044},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.574400007724762},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5464000105857849},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5072000026702881},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.48570001125335693},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.45500001311302185},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.41269999742507935},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4072999954223633}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8428000211715698},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.6693000197410583},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.590399980545044},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.574400007724762},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5464000105857849},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5121999979019165},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5072000026702881},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4991999864578247},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.48570001125335693},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.45500001311302185},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4505999982357025},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.41269999742507935},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4072999954223633},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.39239999651908875},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.38909998536109924},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3328999876976013},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3237999975681305},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3176000118255615},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.29809999465942383},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.29440000653266907},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2703000009059906},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26600000262260437},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.2639999985694885},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.25270000100135803}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/jiot.2026.3666194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3666194","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"},{"id":"pmh:oai:arXiv.org:2507.10134","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.10134","pdf_url":"https://arxiv.org/pdf/2507.10134","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:doi:10.48550/arxiv.2507.10134","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2507.10134","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2507.10134","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2507.10134","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.10134","pdf_url":"https://arxiv.org/pdf/2507.10134","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G546278981","display_name":"Instituto de Telecomunica\u00e7\u00f5es","funder_award_id":"UID/50008/2025","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"}],"funders":[{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Uncrewed":[0],"Aerial":[1],"Vehicles":[2],"(UAVs)":[3],"play":[4],"a":[5,95,130],"vital":[6],"role":[7],"in":[8,12,89,156],"public":[9],"safety,":[10],"especially":[11],"monitoring":[13],"wildfires,":[14],"where":[15],"early":[16],"detection":[17],"reduces":[18],"environmental":[19],"impact.":[20],"In":[21],"UAV-Assisted":[22],"Wildfire":[23],"Monitoring":[24],"(UAWM)":[25],"systems,":[26],"jointly":[27,144],"optimizing":[28],"the":[29,40,146,154,162,186,197],"data":[30,147,173],"collection":[31,148,174],"schedule":[32,149],"and":[33,70,73,101,122,150,176,183,212],"UAV":[34,151],"velocity":[35,152],"is":[36],"essential":[37],"to":[38,107,143,202],"minimize":[39],"average":[41,163],"Age":[42],"of":[43,199],"Information":[44],"(AoI)":[45],"for":[46,56,80],"sensory":[47],"data.":[48],"Deep":[49],"Reinforcement":[50],"Learning":[51,112,141],"(DRL)":[52],"has":[53],"been":[54],"used":[55],"this":[57],"optimization,":[58],"but":[59],"its":[60],"limitations":[61],"\u2013":[62,76],"including":[63],"low":[64],"sampling":[65],"efficiency,":[66],"discrepancies":[67],"between":[68],"simulation":[69],"real-world":[71],"conditions,":[72],"complex":[74],"training":[75],"make":[77],"it":[78],"unsuitable":[79],"time-critical":[81],"applications":[82],"such":[83],"as":[84],"wildfire":[85],"monitoring.":[86],"Recent":[87],"advances":[88],"Large":[90],"Language":[91],"Models":[92],"(LLMs)":[93],"provide":[94],"promising":[96],"alternative.":[97],"With":[98],"strong":[99],"reasoning":[100],"generalization":[102],"capabilities,":[103],"LLMs":[104],"can":[105],"adapt":[106],"new":[108],"tasks":[109],"through":[110],"In-Context":[111,140],"(ICL),":[113],"which":[114],"enables":[115],"task":[116,181],"adaptation":[117],"using":[118,178],"natural":[119,179],"language":[120,180],"prompts":[121],"example-based":[123],"guidance":[124],"without":[125,191],"retraining.":[126,193],"This":[127],"paper":[128],"proposes":[129],"novel":[131],"online":[132],"Flight":[133],"Resource":[134],"Allocation":[135],"scheme":[136],"based":[137],"on":[138],"LLM-Enabled":[139],"(FRSICL)":[142],"optimize":[145],"along":[153],"trajectory":[155],"real":[157],"time,":[158],"thereby":[159],"asymptotically":[160],"minimizing":[161],"AoI":[164],"across":[165],"all":[166],"ground":[167],"sensors.":[168],"Unlike":[169],"DRL,":[170],"FRSICL":[171,200],"generates":[172],"schedules":[175],"velocities":[177],"descriptions":[182],"feedback":[184],"from":[185],"environment,":[187],"enabling":[188],"dynamic":[189],"decision-making":[190],"extensive":[192],"Simulation":[194],"results":[195],"confirm":[196],"effectiveness":[198],"compared":[201],"state-of-the-art":[203],"baselines,":[204],"namely":[205],"Proximal":[206],"Policy":[207],"Optimization,":[208],"Block":[209],"Coordinate":[210],"Descent,":[211],"Nearest":[213],"Neighbor.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-02T00:00:00"}