{"id":"https://openalex.org/W1572374822","doi":"https://doi.org/10.1109/lanman.2005.1541514","title":"Modeling client arrivals at access points in wireless campus-wide networks","display_name":"Modeling client arrivals at access points in wireless campus-wide networks","publication_year":2006,"publication_date":"2006-10-11","ids":{"openalex":"https://openalex.org/W1572374822","doi":"https://doi.org/10.1109/lanman.2005.1541514","mag":"1572374822"},"language":"en","primary_location":{"id":"doi:10.1109/lanman.2005.1541514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lanman.2005.1541514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 14th IEEE Workshop on Local & Metropolitan Area Networks","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/A5053275688","display_name":"Maria Papadopouli","orcid":"https://orcid.org/0000-0001-6046-1894"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]},{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR","US"],"is_corresponding":true,"raw_author_name":"M. Papadopouli","raw_affiliation_strings":["Department of Computer Science, North Carolina State University, Chapel Hill, USA","Institute of Computer Science, Foundation for Research and Technology Hellas, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Carolina State University, Chapel Hill, USA","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Institute of Computer Science, Foundation for Research and Technology Hellas, Greece","institution_ids":["https://openalex.org/I8901234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102900838","display_name":"Haipeng Shen","orcid":"https://orcid.org/0000-0002-0196-1992"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haipeng Shen","raw_affiliation_strings":["Department of Statistics & Operations Research, North Carolina State University, Chapel Hill, USA","Statistics and Operations Research"],"affiliations":[{"raw_affiliation_string":"Department of Statistics & Operations Research, North Carolina State University, Chapel Hill, USA","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Statistics and Operations Research","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030500286","display_name":"Marios Spanakis","orcid":"https://orcid.org/0000-0003-2163-0653"},"institutions":[{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"M. Spanakis","raw_affiliation_strings":["Institute of Computer Science, Foundation for Research and Technology Hellas, Greece"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Foundation for Research and Technology Hellas, Greece","institution_ids":["https://openalex.org/I8901234"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053275688"],"corresponding_institution_ids":["https://openalex.org/I137902535","https://openalex.org/I8901234"],"apc_list":null,"apc_paid":null,"fwci":3.8337,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93606273,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"16","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11158","display_name":"Wireless Networks and Protocols","score":0.9998000264167786,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9998000264167786,"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/T10246","display_name":"Mobile Ad Hoc Networks","score":0.9979000091552734,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.7873585224151611},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5975071787834167},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.5684841275215149},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5582315325737},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5252416133880615},{"id":"https://openalex.org/keywords/goodness-of-fit","display_name":"Goodness of fit","score":0.5188114047050476},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.4491614103317261},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4009442925453186},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15842097997665405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08207780122756958}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7873585224151611},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5975071787834167},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.5684841275215149},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5582315325737},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5252416133880615},{"id":"https://openalex.org/C132480984","wikidata":"https://www.wikidata.org/wiki/Q2034239","display_name":"Goodness of fit","level":2,"score":0.5188114047050476},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.4491614103317261},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4009442925453186},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15842097997665405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08207780122756958},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lanman.2005.1541514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lanman.2005.1541514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 14th IEEE Workshop on Local & Metropolitan Area Networks","raw_type":"proceedings-article"},{"id":"pmh:oai:hub.hku.hk:10722/219564","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/219564","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference_Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W57502769","https://openalex.org/W128438176","https://openalex.org/W1527484035","https://openalex.org/W1572374822","https://openalex.org/W1588128235","https://openalex.org/W1597926580","https://openalex.org/W1942691605","https://openalex.org/W1964848431","https://openalex.org/W1974331052","https://openalex.org/W1975804880","https://openalex.org/W1976671856","https://openalex.org/W1993275183","https://openalex.org/W2025782074","https://openalex.org/W2034597353","https://openalex.org/W2052923946","https://openalex.org/W2066782797","https://openalex.org/W2084719311","https://openalex.org/W2099416373","https://openalex.org/W2105818147","https://openalex.org/W2106996394","https://openalex.org/W2112328181","https://openalex.org/W2128796442","https://openalex.org/W2133436197","https://openalex.org/W2133520751","https://openalex.org/W2144839742","https://openalex.org/W2154818210","https://openalex.org/W2160494326","https://openalex.org/W2165078365","https://openalex.org/W2167172253","https://openalex.org/W2167627514","https://openalex.org/W2171873915","https://openalex.org/W2792296590","https://openalex.org/W2799087070","https://openalex.org/W3021544465","https://openalex.org/W4285719527","https://openalex.org/W6681089240","https://openalex.org/W6682411686"],"related_works":["https://openalex.org/W1541538682","https://openalex.org/W2050686036","https://openalex.org/W2097522327","https://openalex.org/W3167233239","https://openalex.org/W2372709328","https://openalex.org/W2621433169","https://openalex.org/W4206658415","https://openalex.org/W2995459153","https://openalex.org/W4226213673","https://openalex.org/W2994051262"],"abstract_inverted_index":{"Our":[0,43],"goal":[1],"is":[2],"to":[3],"model":[4,84],"the":[5,11,36,51,59,86,99,114,124],"arrival":[6,52,87,120],"of":[7,29,40,54,61,89,113,123],"wireless":[8,41],"clients":[9,55,90],"at":[10,56,91,102],"access":[12],"points":[13],"(APs)":[14],"in":[15,126],"a":[16,46,62,111],"production":[17],"802.11":[18],"infrastructure.":[19],"Such":[20],"models":[21],"are":[22,130],"critical":[23],"for":[24,49,66,77],"benchmarks,":[25],"simulation":[26,75],"studies,":[27],"design":[28],"capacity":[30],"planning":[31],"and":[32,35,38,58,71,106,121],"resource":[33],"allocation,":[34],"administration":[37],"support":[39],"infrastructures.":[42],"contributions":[44],"include":[45],"novel":[47],"methodology":[48],"modeling":[50,98],"processes":[53,82,88],"APs":[57,115,129],"use":[60],"powerful":[63],"visualization":[64],"tool":[65],"finding":[67],"detailed":[68],"interior":[69],"features":[70],"quantile":[72],"plots":[73],"with":[74],"envelope":[76],"goodness-of-fit":[78],"test.":[79],"Time-varying":[80],"Poisson":[81],"can":[83],"well":[85],"APs.":[92,107],"We":[93],"validate":[94],"these":[95,128],"results":[96],"by":[97],"visit":[100,119],"arrivals":[101],"different":[103],"time":[104],"intervals":[105],"Furthermore,":[108],"we":[109],"propose":[110],"clustering":[112],"based":[116],"on":[117],"their":[118],"functionality":[122],"area":[125],"which":[127],"located.":[131]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}