{"id":"https://openalex.org/W4402157076","doi":"https://doi.org/10.1109/icc51166.2024.10622411","title":"Edge Computing with Early Exiting for Adaptive Inference in Mobile Autonomous Systems","display_name":"Edge Computing with Early Exiting for Adaptive Inference in Mobile Autonomous Systems","publication_year":2024,"publication_date":"2024-06-09","ids":{"openalex":"https://openalex.org/W4402157076","doi":"https://doi.org/10.1109/icc51166.2024.10622411"},"language":"en","primary_location":{"id":"doi:10.1109/icc51166.2024.10622411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc51166.2024.10622411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","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/A5071974931","display_name":"Simone Angelucci","orcid":"https://orcid.org/0000-0002-4495-3757"},"institutions":[{"id":"https://openalex.org/I26415053","display_name":"University of L'Aquila","ror":"https://ror.org/01j9p1r26","country_code":"IT","type":"education","lineage":["https://openalex.org/I26415053"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Simone Angelucci","raw_affiliation_strings":["Centre Ex-EMERGE, University of L&#x0027;Aquila,Dept. of Information Engineering, Computer Science and Mathematics,IT"],"affiliations":[{"raw_affiliation_string":"Centre Ex-EMERGE, University of L&#x0027;Aquila,Dept. of Information Engineering, Computer Science and Mathematics,IT","institution_ids":["https://openalex.org/I26415053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024636350","display_name":"Roberto Valentini","orcid":"https://orcid.org/0000-0002-0495-2311"},"institutions":[{"id":"https://openalex.org/I26415053","display_name":"University of L'Aquila","ror":"https://ror.org/01j9p1r26","country_code":"IT","type":"education","lineage":["https://openalex.org/I26415053"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Roberto Valentini","raw_affiliation_strings":["Centre Ex-EMERGE, University of L&#x0027;Aquila,Dept. of Information Engineering, Computer Science and Mathematics,IT"],"affiliations":[{"raw_affiliation_string":"Centre Ex-EMERGE, University of L&#x0027;Aquila,Dept. of Information Engineering, Computer Science and Mathematics,IT","institution_ids":["https://openalex.org/I26415053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051196445","display_name":"Marco Levorato","orcid":"https://orcid.org/0000-0002-6920-4189"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marco Levorato","raw_affiliation_strings":["The Donald Bren School of Information and Computer Science, UC Irvine,CA,US"],"affiliations":[{"raw_affiliation_string":"The Donald Bren School of Information and Computer Science, UC Irvine,CA,US","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074980509","display_name":"Fortunato Santucci","orcid":"https://orcid.org/0000-0002-0229-6277"},"institutions":[{"id":"https://openalex.org/I26415053","display_name":"University of L'Aquila","ror":"https://ror.org/01j9p1r26","country_code":"IT","type":"education","lineage":["https://openalex.org/I26415053"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fortunato Santucci","raw_affiliation_strings":["Centre Ex-EMERGE, University of L&#x0027;Aquila,Dept. of Information Engineering, Computer Science and Mathematics,IT"],"affiliations":[{"raw_affiliation_string":"Centre Ex-EMERGE, University of L&#x0027;Aquila,Dept. of Information Engineering, Computer Science and Mathematics,IT","institution_ids":["https://openalex.org/I26415053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021780258","display_name":"Carla Fabiana Chiasserini","orcid":"https://orcid.org/0000-0003-1410-660X"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carla Fabiana Chiasserini","raw_affiliation_strings":["Politecnico di Torino,Dept. of Electronics and Telecommunications,Torino,IT"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Dept. of Electronics and Telecommunications,Torino,IT","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5071974931"],"corresponding_institution_ids":["https://openalex.org/I26415053"],"apc_list":null,"apc_paid":null,"fwci":0.3663,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60864875,"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":"2980","last_page":"2985"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9983000159263611,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9983000159263611,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","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"}},{"id":"https://openalex.org/T13382","display_name":"Robotics and Automated Systems","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/computer-science","display_name":"Computer science","score":0.7851138114929199},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6094421744346619},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5111873745918274},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5090844035148621},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3487222194671631}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7851138114929199},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6094421744346619},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5111873745918274},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5090844035148621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3487222194671631}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc51166.2024.10622411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc51166.2024.10622411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3867136775","display_name":null,"funder_award_id":"CCF 2140154","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2001139238","https://openalex.org/W2129068172","https://openalex.org/W2168467796","https://openalex.org/W2344423009","https://openalex.org/W2916889275","https://openalex.org/W3005620403","https://openalex.org/W3103591951","https://openalex.org/W3119882941","https://openalex.org/W3123699014","https://openalex.org/W3124219170","https://openalex.org/W3134255974","https://openalex.org/W3199264906","https://openalex.org/W4302617909","https://openalex.org/W4385569857"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W2914646191","https://openalex.org/W4386004629","https://openalex.org/W2942586735"],"abstract_inverted_index":{"Early":[0],"Exiting":[1],"(EE)":[2],"is":[3,72],"an":[4,119,135,170],"emerging":[5],"computing":[6,58],"paradigm":[7,33],"where":[8],"Deep":[9],"Neural":[10],"Networks":[11],"(DNNs)":[12],"are":[13],"equipped":[14],"with":[15,21,29,169,195],"earlier":[16],"classifiers,":[17],"enabling":[18],"trading-off":[19],"accuracy":[20,189],"inference":[22,125],"latency.":[23],"EE":[24,98],"can":[25,145],"be":[26,146],"effectively":[27],"combined":[28],"edge":[30,52,100,171],"computing,":[31,101],"a":[32,90,111,153,161],"that":[34,92,127,181],"allows":[35],"mobile":[36,65],"nodes":[37],"to":[38,48,122,186,191],"offload":[39],"complex":[40,106],"tasks,":[41],"such":[42,70,134],"as":[43,141],"the":[44,51,54,64,76,95,124,129,142,150,192],"execution":[45],"of":[46,53,69,78,97,110],"DNNs,":[47],"servers":[49],"at":[50,63],"network,":[55],"thus":[56],"reducing":[57],"times":[59],"and":[60,82,99,102,176,179],"energy":[61],"consumption":[62],"devices.":[66],"The":[67],"integration":[68],"technologies":[71],"particularly":[73],"attractive":[74],"for":[75,80],"support":[77],"applications":[79],"connected":[81,168],"automated":[83,166],"driving.":[84],"In":[85],"this":[86],"paper,":[87],"we":[88,103],"consider":[89],"system":[91],"jointly":[93],"leverages":[94],"benefits":[96],"model":[104],"their":[105],"interactions":[107],"by":[108,148],"means":[109],"Markov":[112],"Decision":[113],"Process":[114],"(MDP).":[115],"We":[116],"then":[117],"formulate":[118],"optimization":[120,136],"problem":[121,137],"select":[123],"strategy":[126],"maximizes":[128],"average":[130],"task":[131],"accuracy.":[132],"Importantly,":[133],"has":[138],"low":[139],"complexity,":[140],"optimal":[143,193],"policy":[144,194],"derived":[147],"mapping":[149],"MDP":[151],"into":[152],"linear":[154],"program.":[155],"Our":[156],"numerical":[157],"results":[158],"focus":[159],"on":[160,165],"use":[162],"case":[163],"centered":[164],"vehicles":[167],"server":[172],"under":[173],"varying":[174],"channel":[175],"network":[177],"conditions,":[178],"show":[180],"our":[182],"solution":[183],"achieves":[184],"up":[185],"11%":[187],"higher":[188],"compared":[190],"no":[196],"EE.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
