{"id":"https://openalex.org/W2735799635","doi":"https://doi.org/10.23919/acc.2017.7962996","title":"Stochastic approximation based methods for computing the optimal thresholds in remote-state estimation with packet drops","display_name":"Stochastic approximation based methods for computing the optimal thresholds in remote-state estimation with packet drops","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2735799635","doi":"https://doi.org/10.23919/acc.2017.7962996","mag":"2735799635"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2017.7962996","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2017.7962996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 American Control Conference (ACC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5089152829","display_name":"Jhelum Chakravorty","orcid":"https://orcid.org/0000-0001-5311-9046"},"institutions":[{"id":"https://openalex.org/I4210112503","display_name":"Kyung Hee University Medical Center","ror":"https://ror.org/01vbmek33","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I35928602","https://openalex.org/I4210112503","https://openalex.org/I4405258385"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jhelum Chakravorty","raw_affiliation_strings":["Department of Medical Engineering, Kyung Hee University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Engineering, Kyung Hee University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4210112503"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088879436","display_name":"Jayakumar Subramanian","orcid":"https://orcid.org/0000-0003-4621-2677"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jayakumar Subramanian","raw_affiliation_strings":["Department of Biomedical Engineering, Kyung Hee University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Kyung Hee University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005770424","display_name":"Aditya Mahajan","orcid":"https://orcid.org/0000-0001-8125-1191"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Aditya Mahajan","raw_affiliation_strings":["Department of Biomedical Engineering, Kyung Hee University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Kyung Hee University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.124,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.76095436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"462","last_page":"467"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9991999864578247,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9991999864578247,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12288","display_name":"Optimization and Search Problems","score":0.9911999702453613,"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/network-packet","display_name":"Network packet","score":0.6690730452537537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6487765312194824},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6407181620597839},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5927630662918091},{"id":"https://openalex.org/keywords/stochastic-approximation","display_name":"Stochastic approximation","score":0.5511205792427063},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5488297939300537},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.49157199263572693},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4892694652080536},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.44966545701026917},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3591373860836029},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35192766785621643},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20585286617279053},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08940264582633972},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08247554302215576}],"concepts":[{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6690730452537537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6487765312194824},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6407181620597839},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5927630662918091},{"id":"https://openalex.org/C55479107","wikidata":"https://www.wikidata.org/wiki/Q97663916","display_name":"Stochastic approximation","level":3,"score":0.5511205792427063},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5488297939300537},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49157199263572693},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4892694652080536},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.44966545701026917},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3591373860836029},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35192766785621643},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20585286617279053},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08940264582633972},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08247554302215576},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc.2017.7962996","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2017.7962996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1978944529","https://openalex.org/W1994616650","https://openalex.org/W2009797711","https://openalex.org/W2065358316","https://openalex.org/W2092989890","https://openalex.org/W2110647183","https://openalex.org/W2124289529","https://openalex.org/W2155279174","https://openalex.org/W2169811528","https://openalex.org/W2347110105","https://openalex.org/W2548873026","https://openalex.org/W2581726295","https://openalex.org/W2584704622","https://openalex.org/W2963230267","https://openalex.org/W2963563408","https://openalex.org/W2964201338","https://openalex.org/W6682759254","https://openalex.org/W6732956200"],"related_works":["https://openalex.org/W1993731165","https://openalex.org/W2095860056","https://openalex.org/W2742871814","https://openalex.org/W2949597507","https://openalex.org/W2156326090","https://openalex.org/W2802778578","https://openalex.org/W2150901859","https://openalex.org/W84146095","https://openalex.org/W2119298659","https://openalex.org/W2963001040"],"abstract_inverted_index":{"A":[0],"remote-state":[1],"estimation":[2,58],"system":[3],"consisting":[4],"of":[5,32,108],"a":[6,16,40,75,85,92,102],"sensor":[7,14],"and":[8,20,56,91],"an":[9],"estimator":[10],"is":[11,84,101],"considered.":[12],"The":[13,35,110],"observes":[15],"scalar":[17],"Gauss-Markov":[18],"process":[19],"at":[21],"each":[22,89],"time":[23],"determines":[24],"whether":[25],"or":[26],"not":[27],"to":[28,67],"transmit":[29],"the":[30,33,49,69,80,97,105,120],"state":[31],"process.":[34],"transmission":[36,51,90],"takes":[37],"place":[38],"over":[39],"packet":[41,122],"drop":[42,123],"channel.":[43],"Previous":[44],"results":[45,111,118],"have":[46],"established":[47],"that":[48],"optimal":[50,57,70],"strategies":[52,59],"are":[53,60,112],"threshold":[54],"based":[55,77,94],"Kalman-like.":[61],"We":[62],"propose":[63],"stochastic":[64],"approximation":[65],"algorithms":[66],"compute":[68],"thresholds":[71],"for":[72,79,96,119],"two":[73],"setups:":[74],"Keifer-Wolfowitz":[76],"algorithm":[78,95],"case":[81,98],"when":[82,99],"there":[83,100],"cost":[86],"associated":[87],"with":[88],"Robbins-Monro":[93],"constraint":[103],"on":[104],"expected":[106],"number":[107],"transmissions.":[109],"verified":[113],"by":[114],"comparing":[115],"against":[116],"existing":[117],"no":[121],"case.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
