{"id":"https://openalex.org/W2022540952","doi":"https://doi.org/10.1145/1878537.1878656","title":"A study on QoS of VoIP networks","display_name":"A study on QoS of VoIP networks","publication_year":2010,"publication_date":"2010-04-11","ids":{"openalex":"https://openalex.org/W2022540952","doi":"https://doi.org/10.1145/1878537.1878656","mag":"2022540952"},"language":"en","primary_location":{"id":"doi:10.1145/1878537.1878656","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1878537.1878656","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 Spring Simulation Multiconference","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/A5064367460","display_name":"Kapilan Radhakrishnan","orcid":null},"institutions":[{"id":"https://openalex.org/I195939026","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235","country_code":"GB","type":"education","lineage":["https://openalex.org/I195939026"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kapilan Radhakrishnan","raw_affiliation_strings":["Glasgow Caledonian University, Glasgow, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Glasgow Caledonian University, Glasgow, UK","institution_ids":["https://openalex.org/I195939026"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083724607","display_name":"Hadi Larijani","orcid":"https://orcid.org/0000-0002-6826-207X"},"institutions":[{"id":"https://openalex.org/I195939026","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235","country_code":"GB","type":"education","lineage":["https://openalex.org/I195939026"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hadi Larijani","raw_affiliation_strings":["Glasgow Caledonian University, Glasgow, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Glasgow Caledonian University, Glasgow, UK","institution_ids":["https://openalex.org/I195939026"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3545,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.80190597,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.9934999942779541,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9925000071525574,"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/voice-over-ip","display_name":"Voice over IP","score":0.925184965133667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8315334320068359},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.7703765630722046},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.637065589427948},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5120654702186584},{"id":"https://openalex.org/keywords/mean-opinion-score","display_name":"Mean opinion score","score":0.4862772226333618},{"id":"https://openalex.org/keywords/telephony","display_name":"Telephony","score":0.4252266585826874},{"id":"https://openalex.org/keywords/telephone-network","display_name":"Telephone network","score":0.4162610173225403},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.4124924838542938},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.3718875050544739},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2813001275062561},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2544841766357422},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07202562689781189}],"concepts":[{"id":"https://openalex.org/C171246234","wikidata":"https://www.wikidata.org/wiki/Q81945","display_name":"Voice over IP","level":3,"score":0.925184965133667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8315334320068359},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.7703765630722046},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.637065589427948},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5120654702186584},{"id":"https://openalex.org/C62897895","wikidata":"https://www.wikidata.org/wiki/Q1915482","display_name":"Mean opinion score","level":3,"score":0.4862772226333618},{"id":"https://openalex.org/C195358072","wikidata":"https://www.wikidata.org/wiki/Q944584","display_name":"Telephony","level":2,"score":0.4252266585826874},{"id":"https://openalex.org/C197698232","wikidata":"https://www.wikidata.org/wiki/Q2354216","display_name":"Telephone network","level":2,"score":0.4162610173225403},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.4124924838542938},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.3718875050544739},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2813001275062561},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2544841766357422},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07202562689781189},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1878537.1878656","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1878537.1878656","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 Spring Simulation Multiconference","raw_type":"proceedings-article"},{"id":"pmh:oai:researchonline.gcu.ac.uk:openaire_cris_publications/29d05d60-140c-4f22-988a-0de945a78d8d","is_oa":false,"landing_page_url":"https://researchonline.gcu.ac.uk/en/publications/29d05d60-140c-4f22-988a-0de945a78d8d","pdf_url":null,"source":{"id":"https://openalex.org/S4306402566","display_name":"ResearchOnline (Glasgow Caledonian University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I195939026","host_organization_name":"Glasgow Caledonian University","host_organization_lineage":["https://openalex.org/I195939026"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Radhakrishnan, K & Larijani, H 2010, A study on QoS of VoIP networks: a random neural network (RNN) approach. in Proceedings of the 2010 Spring Simulation Multi-Conference. Society for Computer Simulation International, 2010 Spring Simulation Multi-Conference, Orlando, Florida, United States, 11/04/10. https://doi.org/10.1145/1878537.1878656","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1970653610","https://openalex.org/W2010470943","https://openalex.org/W2033213616","https://openalex.org/W2042163033","https://openalex.org/W2045183416","https://openalex.org/W2099577531","https://openalex.org/W2103599226","https://openalex.org/W2106253253","https://openalex.org/W2119294786","https://openalex.org/W2121896394","https://openalex.org/W2124541815","https://openalex.org/W2127021722","https://openalex.org/W2132326138","https://openalex.org/W2141210696","https://openalex.org/W2150609527","https://openalex.org/W2150613390","https://openalex.org/W2151475216","https://openalex.org/W4299983633"],"related_works":["https://openalex.org/W2133142117","https://openalex.org/W1931754305","https://openalex.org/W3007758974","https://openalex.org/W2382922397","https://openalex.org/W2415443980","https://openalex.org/W2388812690","https://openalex.org/W2163038962","https://openalex.org/W2183963343","https://openalex.org/W1969808948","https://openalex.org/W2000195792"],"abstract_inverted_index":{"Voice":[0],"over":[1],"Internet":[2],"Protocol":[3],"(VoIP)":[4],"is":[5,42,48,71,106],"predicted":[6],"to":[7,27,32,50,53,74,93,137],"be":[8,51],"the":[9,12,55,59,76,95,128,139,146],"replacement":[10],"of":[11,18,21,37,78,116,134,141,156,164],"traditional":[13],"PSTN":[14,33],"telephone":[15],"system.":[16],"Quality":[17],"Service":[19],"(QoS)":[20],"VoIP":[22,40,82],"systems":[23],"are":[24],"more":[25],"difficult":[26],"measure":[28,54,75],"and":[29,45,152],"implement":[30],"compared":[31],"systems.":[34],"The":[35,104],"nature":[36],"QoS":[38,56],"in":[39,61],"networks":[41],"very":[43,72],"variable":[44],"hence":[46],"it":[47,70],"important":[49,73],"able":[52],"offered":[57,80],"by":[58,81,113],"system":[60],"real":[62],"time":[63],"with":[64,131,149],"a":[65,89,161],"low":[66],"computational":[67],"cost.":[68],"So":[69],"quality":[77,98],"service":[79],"networks.":[83],"In":[84],"this":[85],"paper":[86],"we":[87],"discuss":[88],"new":[90],"novel":[91],"model":[92,148,159],"calculate":[94],"perceived":[96],"voice":[97],"using":[99],"Random":[100],"Neural":[101],"Network":[102],"(RNN).":[103],"RNN":[105,147],"an":[107],"open":[108],"Markovian":[109],"queuing":[110],"model,":[111],"motivated":[112],"spiking":[114],"behaviour":[115],"biological":[117],"neurons":[118,136],"that":[119],"has":[120],"been":[121],"used":[122,127],"for":[123],"several":[124],"applications.":[125],"We":[126,144],"feedforward":[129],"architecture":[130],"different":[132],"numbers":[133],"hidden":[135,154],"test":[138],"stability":[140],"our":[142],"model.":[143],"study":[145],"4,":[150],"5,":[151],"6":[153],"layers":[155],"neurons.":[157],"Our":[158],"shows":[160],"high":[162],"degree":[163],"accuracy":[165]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
