{"id":"https://openalex.org/W4400727215","doi":"https://doi.org/10.1109/iwcmc61514.2024.10592571","title":"Deep Learning-Driven Resource Allocation for MEC-Enabled UAV Collision Avoidance System","display_name":"Deep Learning-Driven Resource Allocation for MEC-Enabled UAV Collision Avoidance System","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4400727215","doi":"https://doi.org/10.1109/iwcmc61514.2024.10592571"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc61514.2024.10592571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc61514.2024.10592571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-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/A5074123295","display_name":"Khadidja Zairi","orcid":null},"institutions":[{"id":"https://openalex.org/I50219554","display_name":"University of Laghouat","ror":"https://ror.org/018bbh535","country_code":"DZ","type":"education","lineage":["https://openalex.org/I50219554"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Khadidja Zairi","raw_affiliation_strings":["Amar Telidji University,LIM Lab.,Laghouat,Algeria,03000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amar Telidji University,LIM Lab.,Laghouat,Algeria,03000","institution_ids":["https://openalex.org/I50219554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079069251","display_name":"Bouziane Brik","orcid":"https://orcid.org/0000-0002-3267-5702"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["AE","FR"],"is_corresponding":false,"raw_author_name":"Bouziane Brik","raw_affiliation_strings":["Sharjah University,College of Computing and Informatics,Computer Science Department,Sharjah,UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sharjah University,College of Computing and Informatics,Computer Science Department,Sharjah,UAE","institution_ids":["https://openalex.org/I29891158","https://openalex.org/I4210156583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025001212","display_name":"Younes Guellouma","orcid":"https://orcid.org/0000-0002-1232-274X"},"institutions":[{"id":"https://openalex.org/I50219554","display_name":"University of Laghouat","ror":"https://ror.org/018bbh535","country_code":"DZ","type":"education","lineage":["https://openalex.org/I50219554"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Younes Guellouma","raw_affiliation_strings":["Amar Telidji University,LIM Lab.,Laghouat,Algeria,03000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amar Telidji University,LIM Lab.,Laghouat,Algeria,03000","institution_ids":["https://openalex.org/I50219554"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046969653","display_name":"Hadda Cherroun","orcid":"https://orcid.org/0000-0002-5117-0320"},"institutions":[{"id":"https://openalex.org/I50219554","display_name":"University of Laghouat","ror":"https://ror.org/018bbh535","country_code":"DZ","type":"education","lineage":["https://openalex.org/I50219554"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Hadda Cherroun","raw_affiliation_strings":["Amar Telidji University,LIM Lab.,Laghouat,Algeria,03000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amar Telidji University,LIM Lab.,Laghouat,Algeria,03000","institution_ids":["https://openalex.org/I50219554"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1775,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4542602,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1412","last_page":"1417"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9772999882698059,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9753999710083008,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.8543693423271179},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6920093894004822},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.626024603843689},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.562200665473938},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.48637059330940247},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4438219368457794},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42585986852645874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39751923084259033},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33963894844055176},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2873358726501465},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2016751766204834}],"concepts":[{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.8543693423271179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6920093894004822},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.626024603843689},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.562200665473938},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.48637059330940247},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4438219368457794},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42585986852645874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39751923084259033},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33963894844055176},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2873358726501465},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2016751766204834}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc61514.2024.10592571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc61514.2024.10592571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.41999998688697815,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1623377677","https://openalex.org/W2023955210","https://openalex.org/W2267395708","https://openalex.org/W2276395000","https://openalex.org/W2330138962","https://openalex.org/W2586068985","https://openalex.org/W2624989916","https://openalex.org/W2785748815","https://openalex.org/W3045615471","https://openalex.org/W3171443666","https://openalex.org/W3174298837","https://openalex.org/W3198819272","https://openalex.org/W3205718365","https://openalex.org/W3207833010","https://openalex.org/W4213147678","https://openalex.org/W4280584868","https://openalex.org/W4285105424","https://openalex.org/W4309146784","https://openalex.org/W4316506832","https://openalex.org/W4399665740"],"related_works":["https://openalex.org/W1819938260","https://openalex.org/W2340892746","https://openalex.org/W3005999311","https://openalex.org/W2923452570","https://openalex.org/W206598027","https://openalex.org/W2978610750","https://openalex.org/W2022931285","https://openalex.org/W1589966275","https://openalex.org/W2086872282","https://openalex.org/W2137789903"],"abstract_inverted_index":{"The":[0,93,186],"Internet":[1],"of":[2,47,98,150,179,192],"Unmanned":[3],"Aerial":[4],"Vehicles":[5,16],"(UAVs)":[6],"envisions":[7],"critical":[8],"services":[9,19],"like":[10],"Collision":[11],"detection":[12,157],"and":[13,44,74,196],"Avoidance":[14],"among":[15],"(CAVs).":[17],"These":[18],"are":[20],"typically":[21],"implemented":[22],"at":[23],"the":[24,50,54,90,96,110,113,131,147,155,165,180,190,193,198],"Multi-access":[25],"Edge":[26],"Computing":[27],"(MEC)":[28],"to":[29,37,49,84,89,130,159],"enable":[30],"ultra-low":[31],"latency":[32],"communication,":[33],"ensuring":[34],"real-time":[35],"reactions":[36],"prevent":[38],"collisions.":[39],"To":[40],"ensure":[41],"network":[42],"coverage":[43],"optimal":[45],"connection":[46],"UAVs":[48],"nearest":[51],"MEC":[52,61,91,118,174],"host,":[53],"CAV":[55],"must":[56,120],"be":[57],"deployed":[58],"across":[59],"all":[60],"hosts.":[62,92],"However,":[63],"this":[64],"may":[65],"impose":[66],"additional":[67],"demands":[68],"on":[69],"these":[70],"hots\u2019":[71],"available":[72],"computational":[73,176],"memory":[75],"resources.":[76],"We":[77],"introduce":[78],"an":[79],"Artificial":[80],"Intelligence":[81],"empowered":[82],"framework":[83,94,111,182],"optimize":[85],"virtualized":[86],"resource":[87,126,199],"allocation":[88,200],"harnesses":[95],"capabilities":[97],"Deep":[99],"Learning":[100],"(DL)":[101],"for":[102,154],"twofold":[103],"pivotal":[104],"objectives:":[105],"(i)":[106],"Forecasting":[107],"UAV":[108,114],"Density:":[109],"predicts":[112],"density":[115],"that":[116],"each":[117],"host":[119,175],"accommodate.":[121],"This":[122,162],"anticipatory":[123],"insight":[124],"guides":[125],"allocation,":[127],"adapting":[128],"it":[129],"anticipated":[132],"demand":[133],"dynamics.":[134],"(ii)":[135],"Precision":[136],"in":[137,145],"Virtual":[138],"Resource":[139],"Allotment:":[140],"DL":[141],"is":[142],"further":[143],"instrumental":[144],"calibrating":[146],"precise":[148],"quantum":[149],"virtual":[151],"resources":[152],"requisite":[153],"collision":[156,166],"application":[158],"function":[160],"optimally.":[161],"approach":[163],"ensures":[164],"avoidance":[167],"system\u2019s":[168],"peak":[169],"efficiency":[170],"without":[171],"unduly":[172],"taxing":[173],"capacities.":[177],"Validation":[178],"proposed":[181],"entails":[183],"empirical":[184],"analysis.":[185],"experimental":[187],"outcomes":[188],"underscore":[189],"precision":[191],"prediction":[194],"model":[195],"corroborate":[197],"framework\u2019s":[201],"efficacy.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
