{"id":"https://openalex.org/W2396147409","doi":"https://doi.org/10.1109/tnsm.2016.2572212","title":"An Enhanced Available Bandwidth Estimation Technique for an End-to-End Network Path","display_name":"An Enhanced Available Bandwidth Estimation Technique for an End-to-End Network Path","publication_year":2016,"publication_date":"2016-05-24","ids":{"openalex":"https://openalex.org/W2396147409","doi":"https://doi.org/10.1109/tnsm.2016.2572212","mag":"2396147409"},"language":"en","primary_location":{"id":"doi:10.1109/tnsm.2016.2572212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2016.2572212","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network and Service Management","raw_type":"journal-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/A5003663810","display_name":"Anup Kumar Paul","orcid":"https://orcid.org/0000-0003-0538-1212"},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Anup Kumar Paul","raw_affiliation_strings":["KDDI Research and Development Laboratories Inc., Fujimino, Japan"],"raw_orcid":"https://orcid.org/0000-0003-0538-1212","affiliations":[{"raw_affiliation_string":"KDDI Research and Development Laboratories Inc., Fujimino, Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102235070","display_name":"Atsuo Tachibana","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsuo Tachibana","raw_affiliation_strings":["KDDI Research and Development Laboratories Inc., Fujimino, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KDDI Research and Development Laboratories Inc., Fujimino, Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054470773","display_name":"Teruyuki Hasegawa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Teruyuki Hasegawa","raw_affiliation_strings":["KDDI Research and Development Laboratories Inc., Fujimino, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KDDI Research and Development Laboratories Inc., Fujimino, Japan","institution_ids":["https://openalex.org/I4210164495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.6133,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.96139192,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"13","issue":"4","first_page":"768","last_page":"781"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11158","display_name":"Wireless Networks and Protocols","score":0.9998999834060669,"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":0.9998999834060669,"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/T10138","display_name":"Network Traffic and Congestion Control","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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.8221527338027954},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.6801871657371521},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6228588223457336},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5744320750236511},{"id":"https://openalex.org/keywords/burstiness","display_name":"Burstiness","score":0.5289487838745117},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.524109959602356},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.507028341293335},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42961305379867554},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4028751850128174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8221527338027954},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.6801871657371521},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6228588223457336},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5744320750236511},{"id":"https://openalex.org/C2781023610","wikidata":"https://www.wikidata.org/wiki/Q17006304","display_name":"Burstiness","level":3,"score":0.5289487838745117},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.524109959602356},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.507028341293335},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42961305379867554},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4028751850128174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnsm.2016.2572212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2016.2572212","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network and Service Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W82893651","https://openalex.org/W195578598","https://openalex.org/W1500128600","https://openalex.org/W1505673266","https://openalex.org/W1537177945","https://openalex.org/W1923332504","https://openalex.org/W1957503394","https://openalex.org/W1997901838","https://openalex.org/W2078403082","https://openalex.org/W2083937189","https://openalex.org/W2086253238","https://openalex.org/W2086558187","https://openalex.org/W2096615321","https://openalex.org/W2114785657","https://openalex.org/W2124787344","https://openalex.org/W2125467502","https://openalex.org/W2129158560","https://openalex.org/W2135750899","https://openalex.org/W2139583332","https://openalex.org/W2141299790","https://openalex.org/W2149689734","https://openalex.org/W2153771889","https://openalex.org/W2157603331","https://openalex.org/W2166505793","https://openalex.org/W2166769197","https://openalex.org/W2168282513","https://openalex.org/W2168970229","https://openalex.org/W2173134026","https://openalex.org/W2214493649","https://openalex.org/W2337472605","https://openalex.org/W2997822014","https://openalex.org/W4230934841","https://openalex.org/W4241899911","https://openalex.org/W4285719527","https://openalex.org/W6607872266","https://openalex.org/W6630038594","https://openalex.org/W6670223201","https://openalex.org/W6678630250","https://openalex.org/W6688286991","https://openalex.org/W7051885717"],"related_works":["https://openalex.org/W1843717240","https://openalex.org/W2340440348","https://openalex.org/W2083756677","https://openalex.org/W2737070158","https://openalex.org/W2508200300","https://openalex.org/W4297850514","https://openalex.org/W2138256111","https://openalex.org/W1574103160","https://openalex.org/W1591572210","https://openalex.org/W1544251502"],"abstract_inverted_index":{"This":[0,70],"paper":[1],"presents":[2],"a":[3,7,12,49,58,161,198,204],"unique":[4,50],"probing":[5,51],"scheme,":[6],"rate":[8,96,99,120,124],"adjustment":[9],"algorithm,":[10],"and":[11,31,46,97,121,138,174,218,222,236,247],"modified":[13,162],"excursion":[14],"detection":[15],"algorithm":[16,36,75,228],"(EDA)":[17],"for":[18],"estimating":[19],"the":[20,40,78,84,94,101,106,115,118,122,133,145,152,155,185,195],"available":[21],"bandwidth":[22],"(ABW)":[23],"of":[24,43,89,100,135,203,244],"an":[25,187],"end-to-end":[26],"network":[27,202],"path":[28],"more":[29,64,81],"accurately":[30],"less":[32,147],"intrusively.":[33,148],"The":[34],"proposed":[35],"is":[37,57,87],"based":[38],"on":[39],"well-known":[41],"concept":[42],"self-induced":[44],"congestion":[45],"it":[47],"features":[48],"train":[52],"structure":[53],"in":[54,67,176,233,242],"which":[55,128],"there":[56],"region":[59,72],"where":[60],"packets":[61,136],"are":[62,140],"sampled":[63],"frequently":[65],"than":[66],"other":[68,238],"regions.":[69],"high-density":[71],"enables":[73,129],"our":[74,227],"to":[76,104,131,143,150,168,180,193],"find":[77],"turning":[79],"point":[80],"accurately.":[82],"When":[83],"dynamic":[85,107],"ABW":[86,108,146,153,196,231],"outside":[88],"this":[90],"region,":[91],"we":[92,139,159],"readjust":[93],"lower":[95,119],"upper":[98,123],"packet":[102],"stream":[103],"fit":[105],"into":[109],"that":[110,226],"region.":[111],"We":[112],"appropriately":[113],"adjust":[114],"range":[116],"between":[117],"using":[125],"spread":[126],"factors,":[127],"us":[130],"keep":[132],"number":[134],"low,":[137],"thus":[141],"able":[142],"measure":[144,194],"Finally,":[149],"detect":[151],"from":[154,164],"one-way":[156],"queuing":[157,177],"delay,":[158],"present":[160],"EDA":[163,167],"PathChirps'":[165],"original":[166],"better":[169],"deal":[170],"with":[171],"sudden":[172],"increase":[173],"decrease":[175],"delays":[178],"due":[179],"cross":[181],"traffic":[182],"burstiness.":[183],"For":[184],"experiments,":[186],"Android":[188],"OS-based":[189],"device":[190],"was":[191],"used":[192],"over":[197,216],"commercial":[199],"4G/LTE":[200],"mobile":[201,206],"Japanese":[205],"operator,":[207],"as":[208,210],"well,":[209],"real":[211,234],"testbed":[212],"measurements":[213],"were":[214],"conducted":[215],"fixed":[217],"WLAN":[219],"network.":[220],"Simulations":[221],"experimental":[223],"results":[224],"show":[225],"can":[229],"achieve":[230],"estimations":[232],"time":[235],"outperforms":[237],"stat-of-the-art":[239],"measurement":[240],"algorithms":[241],"terms":[243],"accuracy,":[245],"intrusiveness,":[246],"convergence":[248],"time.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}