{"id":"https://openalex.org/W4407952032","doi":"https://doi.org/10.1109/cdc56724.2024.10886495","title":"A Distributed Method for Detecting Critical Edges and Increasing Edge Connectivity in Undirected Networks","display_name":"A Distributed Method for Detecting Critical Edges and Increasing Edge Connectivity in Undirected Networks","publication_year":2024,"publication_date":"2024-12-16","ids":{"openalex":"https://openalex.org/W4407952032","doi":"https://doi.org/10.1109/cdc56724.2024.10886495"},"language":"en","primary_location":{"id":"doi:10.1109/cdc56724.2024.10886495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","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/A5039768507","display_name":"Deepalakshmi Babu Venkateswaran","orcid":"https://orcid.org/0000-0002-7258-3300"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deepalakshmi Babu Venkateswaran","raw_affiliation_strings":["University of Central Florida,Orlando,FL,USA,32816"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida,Orlando,FL,USA,32816","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004116271","display_name":"Zhihua Qu","orcid":"https://orcid.org/0000-0001-6710-7134"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhihua Qu","raw_affiliation_strings":["University of Central Florida,Orlando,FL,USA,32816"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida,Orlando,FL,USA,32816","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009558758","display_name":"Azwirman Gusrialdi","orcid":"https://orcid.org/0000-0002-5659-1239"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Azwirman Gusrialdi","raw_affiliation_strings":["Automation and Mechanical Engineering unit at Tampere University,Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Automation and Mechanical Engineering unit at Tampere University,Finland","institution_ids":["https://openalex.org/I166825849"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23593269,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6951","last_page":"6956"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.8865000009536743,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.8865000009536743,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13052","display_name":"Molecular Communication and Nanonetworks","score":0.8763999938964844,"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"}},{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.8711000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5925922393798828},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5693808197975159},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3211613595485687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25196555256843567}],"concepts":[{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5925922393798828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5693808197975159},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3211613595485687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25196555256843567}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cdc56724.2024.10886495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:trepo.tuni.fi:10024/212231","is_oa":false,"landing_page_url":"https://trepo.tuni.fi/handle/10024/212231","pdf_url":null,"source":{"id":"https://openalex.org/S7407055260","display_name":"Trepo - Institutional Repository of Tampere University","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"conference"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1975492545","https://openalex.org/W2085540843","https://openalex.org/W2139553355","https://openalex.org/W2155965886","https://openalex.org/W2213198165","https://openalex.org/W2341112116","https://openalex.org/W2559632703","https://openalex.org/W2802440256","https://openalex.org/W3011766849","https://openalex.org/W3157186187","https://openalex.org/W3203197121","https://openalex.org/W4206914968","https://openalex.org/W4230962939","https://openalex.org/W4293057351"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"A":[0],"critical":[1,18,27,78],"edge":[2,5,24,128],"is":[3,26,69,101,107],"an":[4,81],"whose":[6],"removal":[7],"results":[8],"in":[9,31,71],"the":[10,22,55,77,91,102,113,117,126,134],"associated":[11],"undirected":[12,82],"network":[13,32,56,83],"becoming":[14],"disconnected.":[15],"Identifying":[16],"these":[17,63],"edges":[19,79],"and":[20,42],"enhancing":[21],"corresponding":[23],"connectivity":[25,129],"for":[28],"achieving":[29],"robustness":[30],"connectivity.":[33],"While":[34],"existing":[35],"methodologies":[36],"are":[37,40],"effective,":[38],"they":[39],"centralized":[41,114],"rely":[43],"on":[44],"global":[45],"information,":[46],"which":[47,106],"makes":[48],"them":[49],"not":[50],"scalable":[51],"with":[52],"respect":[53],"to":[54,74,112,123,130],"size":[57],"or":[58],"its":[59],"implementation.":[60],"To":[61],"address":[62],"shortcomings,":[64],"a":[65,86,95],"fully":[66],"distributed":[67],"approach":[68],"introduced":[70],"this":[72],"paper":[73],"identify":[75],"all":[76],"within":[80],"without":[84],"requiring":[85],"central":[87],"coordinating":[88],"authority.":[89],"Computationally,":[90],"proposed":[92,118],"method":[93,119],"has":[94],"complexity":[96],"of":[97,104],"${\\mathcal{O}}(n)$,":[98],"where":[99],"n":[100],"number":[103],"nodes,":[105],"more":[108],"efficient":[109],"when":[110],"compared":[111],"approaches.":[115],"Furthermore,":[116],"can":[120],"be":[121],"used":[122],"incrementally":[124],"increase":[125],"network\u2019s":[127,135],"2,":[131],"thus":[132],"addressing":[133],"most":[136],"vulnerable":[137],"edges.":[138]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
