{"id":"https://openalex.org/W7116665013","doi":"https://doi.org/10.23919/cnsm67658.2025.11297524","title":"Reinforcement Learning-Driven Edge Management for Reliable Multi-view 3D Reconstruction","display_name":"Reinforcement Learning-Driven Edge Management for Reliable Multi-view 3D Reconstruction","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W7116665013","doi":"https://doi.org/10.23919/cnsm67658.2025.11297524"},"language":null,"primary_location":{"id":"doi:10.23919/cnsm67658.2025.11297524","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cnsm67658.2025.11297524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 21st International Conference on Network and Service Management (CNSM)","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/A5074308655","display_name":"Motahare Mounesan","orcid":null},"institutions":[{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Motahare Mounesan","raw_affiliation_strings":["City University of New York"],"affiliations":[{"raw_affiliation_string":"City University of New York","institution_ids":["https://openalex.org/I174216632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037358632","display_name":"Sourya Saha","orcid":"https://orcid.org/0000-0001-9752-8001"},"institutions":[{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sourya Saha","raw_affiliation_strings":["City University of New York"],"affiliations":[{"raw_affiliation_string":"City University of New York","institution_ids":["https://openalex.org/I174216632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047792016","display_name":"Houchao Gan","orcid":"https://orcid.org/0009-0005-8736-2366"},"institutions":[{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Houchao Gan","raw_affiliation_strings":["City University of New York"],"affiliations":[{"raw_affiliation_string":"City University of New York","institution_ids":["https://openalex.org/I174216632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033159940","display_name":"Md Nurul Absur","orcid":null},"institutions":[{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md. Nurul Absur","raw_affiliation_strings":["City University of New York"],"affiliations":[{"raw_affiliation_string":"City University of New York","institution_ids":["https://openalex.org/I174216632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015917097","display_name":"Saptarshi Debroy","orcid":"https://orcid.org/0000-0002-4783-119X"},"institutions":[{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saptarshi Debroy","raw_affiliation_strings":["City University of New York"],"affiliations":[{"raw_affiliation_string":"City University of New York","institution_ids":["https://openalex.org/I174216632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074308655"],"corresponding_institution_ids":["https://openalex.org/I174216632"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.70508036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.12999999523162842,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.12999999523162842,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.06880000233650208,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.06809999793767929,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7315999865531921},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.6456999778747559},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.6053000092506409},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6047000288963318},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.600600004196167},{"id":"https://openalex.org/keywords/situation-awareness","display_name":"Situation awareness","score":0.5188000202178955},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.49309998750686646},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4593000113964081}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7315999865531921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7157999873161316},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.6456999778747559},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.6053000092506409},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6047000288963318},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.600600004196167},{"id":"https://openalex.org/C145804949","wikidata":"https://www.wikidata.org/wiki/Q478123","display_name":"Situation awareness","level":2,"score":0.5188000202178955},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.49309998750686646},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4593000113964081},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.44530001282691956},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.43459999561309814},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.42980000376701355},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4212000072002411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4178999960422516},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4007999897003174},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.39010000228881836},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.33390000462532043},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.3328999876976013},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.32710000872612},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.323199987411499},{"id":"https://openalex.org/C103613024","wikidata":"https://www.wikidata.org/wiki/Q230924","display_name":"Stateless protocol","level":3,"score":0.3140000104904175},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.3075999915599823},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2957000136375427},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.28949999809265137},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2757999897003174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/cnsm67658.2025.11297524","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cnsm67658.2025.11297524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 21st International Conference on Network and Service Management (CNSM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.43006080389022827}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2604901014","https://openalex.org/W2611331254","https://openalex.org/W2917048035","https://openalex.org/W2939131971","https://openalex.org/W2962793285","https://openalex.org/W2990026901","https://openalex.org/W3003307593","https://openalex.org/W3016718200","https://openalex.org/W3086420002","https://openalex.org/W3136355494","https://openalex.org/W3172963178","https://openalex.org/W3183144290","https://openalex.org/W3188107178","https://openalex.org/W3195209712","https://openalex.org/W4312068384","https://openalex.org/W4312543071","https://openalex.org/W4318340592","https://openalex.org/W4361215354","https://openalex.org/W4388019052","https://openalex.org/W4388040696","https://openalex.org/W4390872578","https://openalex.org/W4401386516","https://openalex.org/W4402623247","https://openalex.org/W4403332296","https://openalex.org/W4405935501","https://openalex.org/W4405975082","https://openalex.org/W4412431391","https://openalex.org/W4412445643","https://openalex.org/W4414197102"],"related_works":[],"abstract_inverted_index":{"Real-time":[0],"multi-view":[1],"3D":[2,21,77],"reconstruction":[3,60,78,83,181],"is":[4],"a":[5,67,85,95,144],"missioncritical":[6],"application":[7,173],"for":[8,75,110,115],"key":[9],"edge-native":[10],"use":[11],"cases,":[12],"such":[13,42],"as":[14,43],"fire":[15],"rescue,":[16],"where":[17],"timely":[18],"and":[19,27,33,50,97,113,138,151,180],"accurate":[20],"scene":[22],"modeling":[23],"enables":[24],"situational":[25],"awareness":[26],"informed":[28],"decision-making.":[29],"However,":[30],"the":[31,56,59,91,102,129,169],"dynamic":[32,184],"unpredictable":[34],"nature":[35],"of":[36,58,88,119],"edge":[37,71,130,154,160],"resource":[38,72],"availability":[39],"introduces":[40],"disruptions,":[41],"degraded":[44],"image":[45],"quality,":[46],"unstable":[47],"network":[48],"links,":[49],"fluctuating":[51],"server":[52,116],"loads,":[53],"which":[54,120],"challenge":[55],"reliability":[57,174],"pipeline.":[61],"In":[62,100],"this":[63],"work,":[64],"we":[65,142],"present":[66],"reinforcement":[68],"learning":[69,124,134],"(RL)-based":[70],"management":[73],"framework":[74,103,171],"reliable":[76],"to":[79,156],"ensure":[80],"high":[81],"quality":[82,182],"within":[84],"reasonable":[86],"amount":[87],"time,":[89],"despite":[90],"system":[92,140],"operating":[93],"under":[94,135,162],"resource-constrained":[96],"disruptionprone":[98],"environment.":[99,131],"particular,":[101],"adopts":[104],"two":[105],"cooperative":[106],"Q-learning":[107],"agents,":[108],"one":[109,114],"camera":[111],"selection":[112],"selection,":[117],"both":[118],"operate":[121],"entirely":[122],"online,":[123],"policies":[125],"through":[126],"interactions":[127],"with":[128],"To":[132],"support":[133],"realistic":[136,163],"constraints":[137],"evaluate":[139],"performance,":[141],"implement":[143],"distributed":[145],"testbed":[146],"comprising":[147],"lab-hosted":[148],"end":[149],"devices":[150],"FABRIC":[152],"infrastructure-hosted":[153],"servers":[155],"emulate":[157],"smart":[158],"city":[159],"infrastructure":[161],"disruption":[164],"scenarios.":[165],"Results":[166],"show":[167],"that":[168],"proposed":[170],"improves":[172],"by":[175],"effectively":[176],"balancing":[177],"end-toend":[178],"latency":[179],"in":[183],"environments.":[185]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-12-22T00:00:00"}