{"id":"https://openalex.org/W2163700760","doi":"https://doi.org/10.1109/tsp.2011.2163629","title":"Monte Carlo Optimization of Decentralized Estimation Networks Over Directed Acyclic Graphs Under Communication Constraints","display_name":"Monte Carlo Optimization of Decentralized Estimation Networks Over Directed Acyclic Graphs Under Communication Constraints","publication_year":2011,"publication_date":"2011-08-15","ids":{"openalex":"https://openalex.org/W2163700760","doi":"https://doi.org/10.1109/tsp.2011.2163629","mag":"2163700760"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2011.2163629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.2163629","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","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/A5090912186","display_name":"Murat \u00dcney","orcid":"https://orcid.org/0000-0001-6561-0406"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"M. Uney","raw_affiliation_strings":["Faculty of Engineering and Natural Sciences, Sabanc1 University, Orhanli-Tuzla, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Natural Sciences, Sabanc1 University, Orhanli-Tuzla, Istanbul, Turkey","institution_ids":["https://openalex.org/I134235054"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017228370","display_name":"M\u00fcjdat \u00c7etin","orcid":"https://orcid.org/0000-0002-9824-1229"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"M. Cetin","raw_affiliation_strings":["Faculty of Engineering and Natural Sciences, Sabanc1 University, Orhanli-Tuzla, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Natural Sciences, Sabanc1 University, Orhanli-Tuzla, Istanbul, Turkey","institution_ids":["https://openalex.org/I134235054"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090912186"],"corresponding_institution_ids":["https://openalex.org/I134235054"],"apc_list":null,"apc_paid":null,"fwci":0.3644,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67680066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"59","issue":"11","first_page":"5558","last_page":"5576"},"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":0.9998999834060669,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9907000064849854,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.658839225769043},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6503199934959412},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5676880478858948},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.49638205766677856},{"id":"https://openalex.org/keywords/directed-acyclic-graph","display_name":"Directed acyclic graph","score":0.48586317896842957},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4805731773376465},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.4655628204345703},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4275874197483063},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.41886937618255615},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2829641103744507},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22278466820716858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15722137689590454},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.08600756525993347}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.658839225769043},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6503199934959412},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5676880478858948},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.49638205766677856},{"id":"https://openalex.org/C74197172","wikidata":"https://www.wikidata.org/wiki/Q1195339","display_name":"Directed acyclic graph","level":2,"score":0.48586317896842957},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4805731773376465},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.4655628204345703},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4275874197483063},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.41886937618255615},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2829641103744507},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22278466820716858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15722137689590454},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.08600756525993347},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2011.2163629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.2163629","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:research.sabanciuniv.edu:16660","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402254","display_name":"Sabanci University","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134235054","host_organization_name":"Sabanc\u0131 \u00dcniversitesi","host_organization_lineage":["https://openalex.org/I134235054"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W41409100","https://openalex.org/W105338397","https://openalex.org/W159153715","https://openalex.org/W614252693","https://openalex.org/W1577620969","https://openalex.org/W1586958116","https://openalex.org/W1800843408","https://openalex.org/W1848594422","https://openalex.org/W1932124839","https://openalex.org/W1989736377","https://openalex.org/W2051203581","https://openalex.org/W2052445459","https://openalex.org/W2056760934","https://openalex.org/W2057565703","https://openalex.org/W2101847234","https://openalex.org/W2103224864","https://openalex.org/W2103227205","https://openalex.org/W2106335692","https://openalex.org/W2112411455","https://openalex.org/W2113830619","https://openalex.org/W2118532895","https://openalex.org/W2120062331","https://openalex.org/W2121255383","https://openalex.org/W2133223220","https://openalex.org/W2136604505","https://openalex.org/W2136982937","https://openalex.org/W2138966161","https://openalex.org/W2143059729","https://openalex.org/W2148620777","https://openalex.org/W2149259182","https://openalex.org/W2150235352","https://openalex.org/W2154546286","https://openalex.org/W2154563288","https://openalex.org/W2154828437","https://openalex.org/W2158336584","https://openalex.org/W2163364417","https://openalex.org/W2167947196","https://openalex.org/W2167982280","https://openalex.org/W2467379829","https://openalex.org/W2539438525","https://openalex.org/W2574519416","https://openalex.org/W3147659924","https://openalex.org/W4229875153","https://openalex.org/W4237826793","https://openalex.org/W4292691288","https://openalex.org/W6683951949"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W154868527","https://openalex.org/W1494268238","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2480116122","https://openalex.org/W4255576661","https://openalex.org/W1516574938","https://openalex.org/W2914790213","https://openalex.org/W2505728881"],"abstract_inverted_index":{"Motivated":[0],"by":[1,99],"the":[2,21,24,28,59,87,96,100,107,115,133,166,189,205,215,220],"vision":[3],"of":[4,30,41,61,73,89,109,214],"sensor":[5],"networks,":[6],"we":[7],"consider":[8],"decentralized":[9,110],"estimation":[10,25,64,216],"networks":[11],"over":[12],"bandwidth-limited":[13],"communication":[14,221],"links,":[15],"and":[16,27,51,63,80,95,156,160,170,183],"are":[17],"particularly":[18],"interested":[19],"in":[20,86,106,121,145,180],"tradeoff":[22],"between":[23],"accuracy":[26,217],"cost":[29,60],"communications":[31,62],"due":[32],"to,":[33],"e.g.,":[34],"energy":[35],"consumption.":[36],"We":[37,126,147],"employ":[38],"a":[39,53,70,82,122,181,226],"class":[40],"in-network":[42,167],"processing":[43,76,168],"strategies":[44,169],"that":[45,57,140,199],"admits":[46],"directed":[47],"acyclic":[48],"graph":[49],"representations":[50,159],"yields":[52],"tractable":[54],"Bayesian":[55,228],"risk":[56],"comprises":[58],"error":[65],"penalty.":[66],"This":[67],"perspective":[68],"captures":[69],"broad":[71],"range":[72],"possibilities":[74],"for":[75,130,164,195],"under":[77],"network":[78],"constraints":[79],"enables":[81],"rigorous":[83],"design":[84],"problem":[85],"form":[88],"constrained":[90],"optimization.":[91,172],"A":[92],"similar":[93],"scheme":[94,136],"structures":[97],"exhibited":[98],"solutions":[101],"have":[102],"been":[103],"previously":[104],"studied":[105],"context":[108],"detection.":[111],"Under":[112],"reasonable":[113],"assumptions,":[114],"optimization":[116,135,177],"can":[117,192,201],"be":[118,142,202],"carried":[119],"out":[120],"message":[123],"passing":[124],"fashion.":[125],"adopt":[127],"this":[128,209],"framework":[129,151],"estimation,":[131],"however,":[132],"corresponding":[134],"involves":[137],"integral":[138],"operators":[139],"cannot":[141],"evaluated":[143],"exactly":[144],"general.":[146],"develop":[148],"an":[149],"approximation":[150],"using":[152],"Monte":[153,175],"Carlo":[154,176],"methods":[155],"obtain":[157],"particle":[158],"approximate":[161],"computational":[162],"schemes":[163],"both":[165],"their":[171],"The":[173],"proposed":[174],"procedure":[178],"operates":[179],"scalable":[182],"efficient":[184],"fashion":[185],"and,":[186],"owing":[187],"to":[188],"nonparametric":[190],"nature,":[191],"produce":[193],"results":[194],"any":[196],"distributions":[197],"provided":[198],"samples":[200],"produced":[203],"from":[204],"marginals.":[206],"In":[207],"addition,":[208],"approach":[210],"exhibits":[211],"graceful":[212],"degradation":[213],"asymptotically":[218],"as":[219],"becomes":[222],"more":[223],"costly,":[224],"through":[225],"parameterized":[227],"risk.":[229]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
