{"id":"https://openalex.org/W4385521685","doi":"https://doi.org/10.1109/jiot.2023.3301623","title":"E<sup>3</sup>-UAV: An Edge-Based Energy-Efficient Object Detection System for Unmanned Aerial Vehicles","display_name":"E<sup>3</sup>-UAV: An Edge-Based Energy-Efficient Object Detection System for Unmanned Aerial Vehicles","publication_year":2023,"publication_date":"2023-08-03","ids":{"openalex":"https://openalex.org/W4385521685","doi":"https://doi.org/10.1109/jiot.2023.3301623"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2023.3301623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3301623","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"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2308.04774","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029600448","display_name":"Jiashun Suo","orcid":"https://orcid.org/0000-0002-5360-353X"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiashun Suo","raw_affiliation_strings":["Engineering Research Center of Cyberspace and the School of Software, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Cyberspace and the School of Software, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019902081","display_name":"Xingzhou Zhang","orcid":"https://orcid.org/0000-0002-8404-7302"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingzhou Zhang","raw_affiliation_strings":["Research Center of Distributed Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research Center of Distributed Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100651611","display_name":"Weisong Shi","orcid":"https://orcid.org/0000-0001-5864-4675"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weisong Shi","raw_affiliation_strings":["Department of Computer and Information Sciences, University of Delaware, Newark, DE, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051349066","display_name":"Wei Zhou","orcid":"https://orcid.org/0000-0002-5881-9436"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhou","raw_affiliation_strings":["Engineering Research Center of Cyberspace and the School of Software, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Cyberspace and the School of Software, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029600448"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":2.254,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.9010295,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"11","issue":"3","first_page":"4398","last_page":"4413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9980999827384949,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9959999918937683,"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/energy-consumption","display_name":"Energy consumption","score":0.7931545972824097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7867940664291382},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.697833776473999},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.6015880703926086},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5031487345695496},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4300828278064728},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4282415807247162},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4233064651489258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3578420877456665},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3485426902770996},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13554027676582336}],"concepts":[{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.7931545972824097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7867940664291382},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.697833776473999},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.6015880703926086},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5031487345695496},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4300828278064728},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4282415807247162},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4233064651489258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3578420877456665},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3485426902770996},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13554027676582336},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jiot.2023.3301623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3301623","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:2308.04774","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.04774","pdf_url":"https://arxiv.org/pdf/2308.04774","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2308.04774","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.04774","pdf_url":"https://arxiv.org/pdf/2308.04774","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1673657362","display_name":null,"funder_award_id":"202001BB050076","funder_id":"https://openalex.org/F4320323193","funder_display_name":"Natural Science Foundation of Yunnan Province"},{"id":"https://openalex.org/G2082826544","display_name":null,"funder_award_id":"Postdoctoral","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2104653401","display_name":null,"funder_award_id":"2021M","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2408903403","display_name":null,"funder_award_id":"62101480","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2703468498","display_name":null,"funder_award_id":"62162067","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4124464452","display_name":null,"funder_award_id":"202005AC160007","funder_id":"https://openalex.org/F4320323193","funder_display_name":"Natural Science Foundation of Yunnan Province"},{"id":"https://openalex.org/G4416350005","display_name":null,"funder_award_id":"4212027","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G5306782587","display_name":null,"funder_award_id":"202005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6058138561","display_name":null,"funder_award_id":", No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7109446775","display_name":null,"funder_award_id":"621620","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7337785226","display_name":null,"funder_award_id":"2021M693227","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8143830734","display_name":null,"funder_award_id":"E361040","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G8746720996","display_name":null,"funder_award_id":"62072434","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"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320323193","display_name":"Natural Science Foundation of Yunnan Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335561","display_name":"Institute of Computing Technology, Chinese Academy of Sciences","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385521685.pdf"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1597335599","https://openalex.org/W1861492603","https://openalex.org/W1975258031","https://openalex.org/W2102605133","https://openalex.org/W2183598498","https://openalex.org/W2193145675","https://openalex.org/W2416799949","https://openalex.org/W2518876086","https://openalex.org/W2519586580","https://openalex.org/W2570343428","https://openalex.org/W2594177559","https://openalex.org/W2612449331","https://openalex.org/W2769604969","https://openalex.org/W2798799804","https://openalex.org/W2798989280","https://openalex.org/W2883880986","https://openalex.org/W2900534458","https://openalex.org/W2927212233","https://openalex.org/W2962749812","https://openalex.org/W2962921175","https://openalex.org/W2963037989","https://openalex.org/W2963346150","https://openalex.org/W2964023906","https://openalex.org/W2964356608","https://openalex.org/W2964979676","https://openalex.org/W2974412363","https://openalex.org/W2988560167","https://openalex.org/W2992514052","https://openalex.org/W2993756598","https://openalex.org/W2996735448","https://openalex.org/W2998280308","https://openalex.org/W3002033136","https://openalex.org/W3003588906","https://openalex.org/W3009442072","https://openalex.org/W3016641475","https://openalex.org/W3018757597","https://openalex.org/W3090280491","https://openalex.org/W3101867439","https://openalex.org/W3102368068","https://openalex.org/W3103461182","https://openalex.org/W3106250896","https://openalex.org/W3123188912","https://openalex.org/W3128053756","https://openalex.org/W3132905090","https://openalex.org/W3136217325","https://openalex.org/W3163770228","https://openalex.org/W3164526661","https://openalex.org/W3176346992","https://openalex.org/W3205100603","https://openalex.org/W3210586215","https://openalex.org/W3214893631","https://openalex.org/W3215372595","https://openalex.org/W4221146106","https://openalex.org/W4293584584","https://openalex.org/W6620707391","https://openalex.org/W6750227808","https://openalex.org/W6750759024","https://openalex.org/W6767525790","https://openalex.org/W6777046832","https://openalex.org/W6809665764"],"related_works":["https://openalex.org/W4249307902","https://openalex.org/W2049400599","https://openalex.org/W2959160600","https://openalex.org/W4280490906","https://openalex.org/W3186848359","https://openalex.org/W2052899165","https://openalex.org/W2909635153","https://openalex.org/W2008562718","https://openalex.org/W2567125577","https://openalex.org/W179829755"],"abstract_inverted_index":{"Motivated":[0],"by":[1,101],"the":[2,8,41,69,95,103,121,125,153,181,190,193],"advances":[3],"in":[4,183,207,221],"deep":[5],"learning":[6],"techniques,":[7],"application":[9],"of":[10,22,40,97,124,147,175,192],"unmanned":[11],"aerial":[12],"vehicle":[13,25],"(UAV)-based":[14],"object":[15,46,74,227],"detection":[16,75,92,113,122,228],"has":[17],"proliferated":[18],"across":[19],"a":[20,38,58,139,164,172],"range":[21],"fields,":[23],"including":[24],"counting,":[26],"fire":[27],"detection,":[28,47],"and":[29,91,115,137,158,195,219],"city":[30],"monitoring.":[31],"While":[32],"most":[33,104],"existing":[34],"research":[35],"studies":[36,51],"only":[37],"subset":[39],"challenges":[42],"inherent":[43],"to":[44,56,83,119,151,179,224],"UAV-based":[45,226],"there":[48],"are":[49],"few":[50],"that":[52,200,215],"balance":[53],"various":[54,86],"aspects":[55],"design":[57],"practical":[59],"system":[60,76,80,182],"for":[61,77,134],"energy":[62,99,141,156,205],"consumption":[63,100,142,157,206],"reduction.":[64],"In":[65],"response,":[66],"we":[67,162,188,211],"present":[68,129,163],"E3-UAV,":[70],"an":[71,130],"edge-based":[72],"energy-efficient":[73,105,166],"UAVs.":[78],"The":[79],"is":[81],"designed":[82],"dynamically":[84],"support":[85],"UAV":[87],"devices,":[88,90],"edge":[89],"algorithms,":[93],"with":[94],"aim":[96],"minimizing":[98],"deciding":[102,184],"flight":[106,109,111,149,159,177,185],"parameters":[107],"(including":[108],"altitude,":[110],"speed,":[112],"algorithm,":[114],"sampling":[116],"rate)":[117],"required":[118],"fulfill":[120],"requirements":[123],"task.":[126],"We":[127],"first":[128],"effective":[131],"evaluation":[132],"metric":[133],"actual":[135,148,176],"tasks":[136],"construct":[138],"transparent":[140],"model":[143],"based":[144,170],"on":[145,171],"hundreds":[146],"data":[150,178],"formalize":[152],"relationship":[154],"between":[155],"parameters.":[160,186],"Then,":[161],"lightweight":[165],"priority":[167],"decision":[168],"algorithm":[169],"large":[173],"quantity":[174],"assist":[180,217],"Finally,":[187],"evaluate":[189],"performance":[191],"system,":[194],"our":[196],"experimental":[197],"results":[198],"demonstrate":[199],"it":[201],"can":[202,216],"significantly":[203],"decrease":[204],"real-world":[208],"scenarios.":[209],"Additionally,":[210],"provide":[212],"four":[213],"insights":[214],"researchers":[218],"engineers":[220],"their":[222],"efforts":[223],"study":[225],"further.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2023-08-04T00:00:00"}