{"id":"https://openalex.org/W3208428924","doi":"https://doi.org/10.1109/icc45855.2022.9838487","title":"A Minmax Utilization Algorithm for Network Traffic Scheduling of Industrial Robots","display_name":"A Minmax Utilization Algorithm for Network Traffic Scheduling of Industrial Robots","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W3208428924","doi":"https://doi.org/10.1109/icc45855.2022.9838487","mag":"3208428924"},"language":"en","primary_location":{"id":"doi:10.1109/icc45855.2022.9838487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on Communications","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2111.01413","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090671225","display_name":"Yantong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]},{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Yantong Wang","raw_affiliation_strings":["Shandong Normal University,School of Information Science and Engineering,Ji&#x2019;nan,China,250358","Department of Engineering, King's College London, London, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Normal University,School of Information Science and Engineering,Ji&#x2019;nan,China,250358","institution_ids":["https://openalex.org/I28006308"]},{"raw_affiliation_string":"Department of Engineering, King's College London, London, U.K","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023358405","display_name":"Vasilis Friderikos","orcid":"https://orcid.org/0000-0002-6883-1172"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Vasilis Friderikos","raw_affiliation_strings":["King&#x2019;s College London,Department of Engineering,London,U.K,WC2R 2LS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King&#x2019;s College London,Department of Engineering,London,U.K,WC2R 2LS","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084354653","display_name":"Sebastian Andraos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sebastian Andraos","raw_affiliation_strings":["HAL Robotics Ltd,London,U.K,E2 6GG"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HAL Robotics Ltd,London,U.K,E2 6GG","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0784,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.709077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2936","last_page":"2941"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9984999895095825,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9984999895095825,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9962999820709229,"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/T11932","display_name":"Wireless Body Area Networks","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.6598407030105591},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5476190447807312},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.487164705991745},{"id":"https://openalex.org/keywords/traverse","display_name":"Traverse","score":0.47861236333847046},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.472164124250412},{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.44649967551231384},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.437623530626297},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35825657844543457},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30109408497810364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2069442868232727}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6598407030105591},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5476190447807312},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.487164705991745},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.47861236333847046},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.472164124250412},{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.44649967551231384},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.437623530626297},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35825657844543457},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30109408497810364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2069442868232727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icc45855.2022.9838487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on Communications","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2111.01413","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.01413","pdf_url":"https://arxiv.org/pdf/2111.01413","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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"},{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/f401843c-b678-4532-b640-e8ec60845b7d","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85137275890&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wang, Y, Friderikos, V & Andraos, S 2022, A Minmax Utilization Algorithm for Network Traffic Scheduling of Industrial Robots. in ICC 2022 - IEEE International Conference on Communications. IEEE International Conference on Communications, vol. 2022-May, Institute of Electrical and Electronics Engineers Inc., pp. 2936-2941, 2022 IEEE International Conference on Communications, ICC 2022, Seoul, Korea, Republic of, 16/05/2022. https://doi.org/10.1109/ICC45855.2022.9838487","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2111.01413","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.01413","pdf_url":"https://arxiv.org/pdf/2111.01413","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[{"id":"https://metadata.un.org/sdg/9","score":0.6000000238418579,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335087","display_name":"Innovate UK","ror":"https://ror.org/05ar5fy68"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2442219467","https://openalex.org/W2524282687","https://openalex.org/W2785518025","https://openalex.org/W2790435736","https://openalex.org/W2792054443","https://openalex.org/W2883461691","https://openalex.org/W2900703370","https://openalex.org/W2978360652","https://openalex.org/W2980601030","https://openalex.org/W3004346260","https://openalex.org/W3016063666","https://openalex.org/W3046995641","https://openalex.org/W3088915034","https://openalex.org/W3095984860","https://openalex.org/W3126728486","https://openalex.org/W3130954471","https://openalex.org/W3169653155","https://openalex.org/W3199077870"],"related_works":["https://openalex.org/W2377402383","https://openalex.org/W2380835401","https://openalex.org/W2381912691","https://openalex.org/W2350381577","https://openalex.org/W2353618196","https://openalex.org/W2348074676","https://openalex.org/W2385033175","https://openalex.org/W2374043190","https://openalex.org/W2363298784","https://openalex.org/W2367402697"],"abstract_inverted_index":{"Emerging":[0],"5G":[1],"and":[2,53,86,106],"beyond":[3],"wireless":[4],"industrial":[5,24,84],"virtualized":[6],"networks":[7],"are":[8,110],"expected":[9],"to":[10,37,44,94,149],"support":[11],"a":[12,127],"significant":[13,29,166],"number":[14],"of":[15,31,75,79,121,171],"robotic":[16,80,157],"manipulators.":[17],"Depending":[18],"on":[19,70],"the":[20,39,42,45,65,71,76,96,101,114,119,139,144,153,169,172],"processes":[21,78],"involved,":[22],"these":[23],"robots":[25],"might":[26],"result":[27],"in":[28,82,100,113,123,160,165,168],"volume":[30],"multi-modal":[32],"traffic":[33,66,99],"that":[34,138],"will":[35,56],"need":[36],"traverse":[38],"network":[40,174],"all":[41],"way":[43],"(public/private)":[46],"edge":[47],"cloud,":[48],"where":[49,156],"advanced":[50],"processing,":[51],"control":[52],"service":[54],"orchestration":[55],"be":[57],"taking":[58],"place.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63,125],"perform":[64],"engineering":[67],"by":[68],"capitalizing":[69],"underlying":[72,173],"pseudo-deterministic":[73],"nature":[74],"repetitive":[77],"manipulators":[81,158],"an":[83,88,161],"environment":[85],"propose":[87],"integer":[89],"linear":[90],"programming":[91],"(ILP)":[92],"model":[93],"minimize":[95],"maximum":[97],"aggregate":[98],"network.":[102],"The":[103],"task":[104],"sequence":[105],"time":[107,133],"gap":[108],"requirements":[109],"also":[111],"considered":[112],"proposed":[115,140],"model.":[116],"To":[117],"tackle":[118],"curse":[120],"dimensionality":[122],"ILP,":[124],"provide":[126],"random":[128],"search":[129],"algorithm":[130],"with":[131,152],"quadratic":[132],"complexity.":[134],"Numerical":[135],"investigations":[136],"reveal":[137],"scheme":[141],"can":[142],"reduce":[143],"peak":[145],"data":[146],"rate":[147],"up":[148],"53.4%":[150],"compared":[151],"nominal":[154],"case":[155],"operate":[159],"uncoordinated":[162],"fashion,":[163],"resulting":[164],"improvement":[167],"utilization":[170],"resources.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
