{"id":"https://openalex.org/W4210362639","doi":"https://doi.org/10.1109/tmc.2022.3144879","title":"eAR: An Edge-Assisted and Energy-Efficient Mobile Augmented Reality Framework","display_name":"eAR: An Edge-Assisted and Energy-Efficient Mobile Augmented Reality Framework","publication_year":2022,"publication_date":"2022-01-25","ids":{"openalex":"https://openalex.org/W4210362639","doi":"https://doi.org/10.1109/tmc.2022.3144879"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2022.3144879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2022.3144879","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Mobile Computing","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/A5059669845","display_name":"Niloofar Didar","orcid":"https://orcid.org/0000-0001-9351-3953"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Niloofar Didar","raw_affiliation_strings":["Department of Computer Science, Wayne State University, Detroit, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Wayne State University, Detroit, MI, USA","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082375623","display_name":"Marco Brocanelli","orcid":"https://orcid.org/0000-0002-3603-1402"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marco Brocanelli","raw_affiliation_strings":["Department of Computer Science, Wayne State University, Detroit, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Wayne State University, Detroit, MI, USA","institution_ids":["https://openalex.org/I185443292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059669845"],"corresponding_institution_ids":["https://openalex.org/I185443292"],"apc_list":null,"apc_paid":null,"fwci":0.9188,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.7420893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"22","issue":"7","first_page":"3898","last_page":"3909"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9807999730110168,"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/computer-science","display_name":"Computer science","score":0.8641054630279541},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.6673481464385986},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6442993879318237},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5812928676605225},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.539107620716095},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5191366076469421},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.4310283958911896},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4249138832092285},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.2858169674873352},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.27631890773773193},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1890789270401001},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.18791541457176208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1733464002609253},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.11708188056945801}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8641054630279541},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.6673481464385986},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6442993879318237},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5812928676605225},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.539107620716095},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5191366076469421},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.4310283958911896},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4249138832092285},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2858169674873352},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.27631890773773193},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1890789270401001},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.18791541457176208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1733464002609253},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.11708188056945801},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2022.3144879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2022.3144879","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1561538450","https://openalex.org/W1689901425","https://openalex.org/W1964859077","https://openalex.org/W2051596736","https://openalex.org/W2057224480","https://openalex.org/W2060884995","https://openalex.org/W2060964919","https://openalex.org/W2079108425","https://openalex.org/W2093639672","https://openalex.org/W2125444986","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2142884912","https://openalex.org/W2556068545","https://openalex.org/W2562637781","https://openalex.org/W2563786098","https://openalex.org/W2566149141","https://openalex.org/W2608659040","https://openalex.org/W2608841173","https://openalex.org/W2613370555","https://openalex.org/W2618902759","https://openalex.org/W2721681485","https://openalex.org/W2737134362","https://openalex.org/W2790412025","https://openalex.org/W2806041169","https://openalex.org/W2807869908","https://openalex.org/W2838572662","https://openalex.org/W2896076858","https://openalex.org/W2898344194","https://openalex.org/W2901376605","https://openalex.org/W2911339643","https://openalex.org/W2940859338","https://openalex.org/W2943054005","https://openalex.org/W2949461735","https://openalex.org/W2950297857","https://openalex.org/W2951847561","https://openalex.org/W2965289829","https://openalex.org/W2983318720","https://openalex.org/W2987120271","https://openalex.org/W3004189795","https://openalex.org/W3023338037","https://openalex.org/W3046577719","https://openalex.org/W3047122373","https://openalex.org/W3082665541","https://openalex.org/W3088076788","https://openalex.org/W3127909988","https://openalex.org/W3167225504","https://openalex.org/W4293107615","https://openalex.org/W6637542432"],"related_works":["https://openalex.org/W2172197285","https://openalex.org/W2991048842","https://openalex.org/W2750280393","https://openalex.org/W2355696739","https://openalex.org/W3158001554","https://openalex.org/W2771909920","https://openalex.org/W2957704286","https://openalex.org/W2028936041","https://openalex.org/W4293061881","https://openalex.org/W1993210935"],"abstract_inverted_index":{"Mobile":[0],"Augmented":[1],"Reality":[2],"(MAR)":[3],"apps":[4,103,212],"may":[5,70],"cause":[6],"short":[7],"battery":[8],"life":[9],"due":[10],"to":[11,23,60,72,105,128,163,229,239],"high-quality":[12],"virtual":[13,134,159],"objects":[14],"rendered":[15],"in":[16,136],"the":[17,38,55,85,107,156,166,172],"augmented":[18],"environment.":[19],"State-of-the-art":[20],"solutions":[21],"propose":[22,93],"balance":[24],"energy":[25,74,179,225],"consumption":[26,180,226],"and":[27,63,80,98,141,185,188,204,248],"user-experience":[28],"using":[29],"a":[30,67,76,81,148,190],"static":[31],"set":[32],"of":[33,109,138,175],"decimated":[34],"object":[35,47,135,160],"versions":[36],"within":[37],"app.":[39],"However,":[40],"they":[41,69],"do":[42],"not":[43],"consider":[44],"that":[45,122,153,195,220],"each":[46,133],"has":[48],"unique":[49],"characteristics,":[50],"which":[51],"highly":[52],"influence":[53],"how":[54],"user-perceived":[56,130,176,252],"quality":[57,131],"changes":[58],"according":[59],"user-object":[61,142,198],"distance":[62],"triangle":[64,139,161],"count.":[65],"As":[66],"result,":[68],"lead":[71],"limited":[73],"savings,":[75],"high":[77,82],"storage":[78,233],"overhead,":[79],"burden":[83],"on":[84,118,170,251],"MAR":[86,102,211,244],"app":[87,245],"developer.":[88],"In":[89,144],"this":[90],"paper,":[91],"we":[92],"eAR,":[94],"an":[95,114,119,214],"edge-assisted":[96],"autonomous":[97,203],"energy-efficient":[99,158],"framework":[100],"for":[101,132,182],"designed":[104],"solve":[106],"limitations":[108],"state-of-the-art":[110],"solutions.":[111],"eAR":[112,146,200,221],"features":[113,147],"offline":[115],"software":[116],"running":[117],"edge":[120,167],"server":[121,168],"leverages":[123],"Image":[124],"Quality":[125],"Assessment":[126],"(IQA)":[127],"model":[129],"terms":[137],"count":[140,162],"distance.":[143],"addition,":[145],"runtime":[149],"lightweight":[150],"optimization":[151],"algorithm":[152],"dynamically":[154],"decides":[155],"most":[157,210],"request":[164],"from":[165],"based":[169],"(i)":[171],"per-object":[173],"models":[174,181],"quality,":[177],"(ii)":[178],"mobile":[183],"GPU":[184],"network":[186],"interface,":[187],"(iii)":[189],"user":[191],"path":[192],"prediction":[193],"system":[194],"estimates":[196],"near-future":[197],"distances.":[199],"is":[201],"completely":[202],"can":[205,222],"be":[206],"easily":[207],"integrated":[208],"into":[209],"as":[213],"open-source":[215],"library.":[216],"Our":[217],"results":[218],"show":[219],"help":[223],"reduce":[224],"by":[227,235],"up":[228],"16.5%":[230],"while":[231],"reducing":[232],"overhead":[234],"almost":[236],"60%":[237],"compared":[238],"existing":[240],"schemes,":[241],"with":[242],"minimal":[243,249],"developer":[246],"effort":[247],"impact":[250],"quality.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}