{"id":"https://openalex.org/W4388642307","doi":"https://doi.org/10.1109/ojcoms.2023.3332259","title":"An Exponentially-Tight Approximate Factorization of the Joint PDF of Statistical Dependent Measurements in Wireless Sensor Networks","display_name":"An Exponentially-Tight Approximate Factorization of the Joint PDF of Statistical Dependent Measurements in Wireless Sensor Networks","publication_year":2023,"publication_date":"2023-11-13","ids":{"openalex":"https://openalex.org/W4388642307","doi":"https://doi.org/10.1109/ojcoms.2023.3332259"},"language":"en","primary_location":{"id":"doi:10.1109/ojcoms.2023.3332259","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcoms.2023.3332259","pdf_url":"https://ieeexplore.ieee.org/ielx7/8782661/8901158/10315166.pdf","source":{"id":"https://openalex.org/S4210202420","display_name":"IEEE Open Journal of the Communications Society","issn_l":"2644-125X","issn":["2644-125X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Open Journal of the Communications Society","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/8782661/8901158/10315166.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069831147","display_name":"Juan Augusto Maya","orcid":"https://orcid.org/0000-0002-5072-343X"},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Juan Augusto Maya","raw_affiliation_strings":["Networked and Embedded Systems (NES), University of Klagenfurt, Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"Networked and Embedded Systems (NES), University of Klagenfurt, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035529329","display_name":"Leonardo Rey Vega","orcid":"https://orcid.org/0000-0002-5578-0521"},"institutions":[{"id":"https://openalex.org/I151201029","display_name":"Consejo Nacional de Investigaciones Cient\u00edficas y T\u00e9cnicas","ror":"https://ror.org/03cqe8w59","country_code":"AR","type":"government","lineage":["https://openalex.org/I151201029","https://openalex.org/I4210123736","https://openalex.org/I4387155568"]},{"id":"https://openalex.org/I24354313","display_name":"Universidad de Buenos Aires","ror":"https://ror.org/0081fs513","country_code":"AR","type":"education","lineage":["https://openalex.org/I24354313"]}],"countries":["AR"],"is_corresponding":false,"raw_author_name":"Leonardo Rey Vega","raw_affiliation_strings":["Facultad de Ingenier&#x00ED;a, Universidad de Buenos Aires, Buenos Aires, CABA, Argentina","Buenos Aires, Argentina, and CSC-CONICET, Universidad de Buenos Aires, Buenos Aires, Argentina"],"affiliations":[{"raw_affiliation_string":"Facultad de Ingenier&#x00ED;a, Universidad de Buenos Aires, Buenos Aires, CABA, Argentina","institution_ids":["https://openalex.org/I24354313"]},{"raw_affiliation_string":"Buenos Aires, Argentina, and CSC-CONICET, Universidad de Buenos Aires, Buenos Aires, Argentina","institution_ids":["https://openalex.org/I24354313","https://openalex.org/I151201029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046459259","display_name":"Andrea M. Tonello","orcid":"https://orcid.org/0000-0002-9873-2407"},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Andrea M. Tonello","raw_affiliation_strings":["Networked and Embedded Systems (NES), University of Klagenfurt, Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"Networked and Embedded Systems (NES), University of Klagenfurt, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069831147"],"corresponding_institution_ids":["https://openalex.org/I4210166741"],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":0.7988,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74595839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"5","issue":null,"first_page":"221","last_page":"237"},"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9782000184059143,"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"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9724000096321106,"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/fading","display_name":"Fading","score":0.7647363543510437},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5564292073249817},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5228698253631592},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48112693428993225},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.44904059171676636},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.44784417748451233},{"id":"https://openalex.org/keywords/radio-propagation","display_name":"Radio propagation","score":0.43742474913597107},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4304285943508148},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4149842858314514},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39446356892585754},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38537150621414185},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36650872230529785},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24352505803108215},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19544050097465515},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07912459969520569}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.7647363543510437},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5564292073249817},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5228698253631592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48112693428993225},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.44904059171676636},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.44784417748451233},{"id":"https://openalex.org/C202311505","wikidata":"https://www.wikidata.org/wiki/Q1474701","display_name":"Radio propagation","level":2,"score":0.43742474913597107},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4304285943508148},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4149842858314514},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39446356892585754},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38537150621414185},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36650872230529785},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24352505803108215},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19544050097465515},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07912459969520569},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ojcoms.2023.3332259","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcoms.2023.3332259","pdf_url":"https://ieeexplore.ieee.org/ielx7/8782661/8901158/10315166.pdf","source":{"id":"https://openalex.org/S4210202420","display_name":"IEEE Open Journal of the Communications Society","issn_l":"2644-125X","issn":["2644-125X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Open Journal of the Communications Society","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:eda1be5cd9a248dda4493c57eb215d3e","is_oa":true,"landing_page_url":"https://doaj.org/article/eda1be5cd9a248dda4493c57eb215d3e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Open Journal of the Communications Society, Vol 5, Pp 221-237 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/ojcoms.2023.3332259","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcoms.2023.3332259","pdf_url":"https://ieeexplore.ieee.org/ielx7/8782661/8901158/10315166.pdf","source":{"id":"https://openalex.org/S4210202420","display_name":"IEEE Open Journal of the Communications Society","issn_l":"2644-125X","issn":["2644-125X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Open Journal of the Communications Society","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[],"funders":[{"id":"https://openalex.org/F4320318209","display_name":"Silicon Austria Labs","ror":"https://ror.org/03b1qgn79"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388642307.pdf","grobid_xml":"https://content.openalex.org/works/W4388642307.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W595252221","https://openalex.org/W1492251543","https://openalex.org/W1997834106","https://openalex.org/W2005660297","https://openalex.org/W2034377106","https://openalex.org/W2035370433","https://openalex.org/W2035662948","https://openalex.org/W2041491816","https://openalex.org/W2042664989","https://openalex.org/W2056099894","https://openalex.org/W2070579725","https://openalex.org/W2074796812","https://openalex.org/W2076037741","https://openalex.org/W2084436032","https://openalex.org/W2088011849","https://openalex.org/W2088801740","https://openalex.org/W2091075671","https://openalex.org/W2107441100","https://openalex.org/W2111619626","https://openalex.org/W2115758294","https://openalex.org/W2116972936","https://openalex.org/W2119347354","https://openalex.org/W2125969840","https://openalex.org/W2134295053","https://openalex.org/W2145417574","https://openalex.org/W2155999145","https://openalex.org/W2164701487","https://openalex.org/W2165800172","https://openalex.org/W2167430018","https://openalex.org/W2168746287","https://openalex.org/W2171402290","https://openalex.org/W2257394859","https://openalex.org/W2512065643","https://openalex.org/W2565123847","https://openalex.org/W2596324967","https://openalex.org/W2596683455","https://openalex.org/W2605703179","https://openalex.org/W2761192566","https://openalex.org/W2792035477","https://openalex.org/W2795347428","https://openalex.org/W2913006991","https://openalex.org/W2955689671","https://openalex.org/W2963693126","https://openalex.org/W3008609509","https://openalex.org/W3011893207","https://openalex.org/W3017564100","https://openalex.org/W3026290994","https://openalex.org/W3099582793","https://openalex.org/W3099909623","https://openalex.org/W3104882038","https://openalex.org/W3128763991","https://openalex.org/W3160820202","https://openalex.org/W3188928949","https://openalex.org/W4298295580","https://openalex.org/W4299432846","https://openalex.org/W4317418761","https://openalex.org/W4384519317"],"related_works":["https://openalex.org/W2327053383","https://openalex.org/W2356834760","https://openalex.org/W1964600846","https://openalex.org/W2127563499","https://openalex.org/W2030191005","https://openalex.org/W1865172210","https://openalex.org/W2027568561","https://openalex.org/W2790025453","https://openalex.org/W1521521035","https://openalex.org/W1872459703"],"abstract_inverted_index":{"We":[0,117,137],"consider":[1],"the":[2,22,25,35,50,53,59,62,70,74,77,81,85,95,100,104,110,115,123,127,141,156,163,168,182],"distributed":[3],"detection":[4],"problem":[5,121],"of":[6,20,24,58,76,80,109,126,165,181],"a":[7,15,88,179],"temporally":[8],"correlated":[9],"random":[10],"radio":[11,111],"source":[12,63,71],"signal":[13,64,112],"using":[14,122],"wireless":[16,146],"sensor":[17],"network":[18],"capable":[19],"measuring":[21],"energy":[23,82],"received":[26,101],"signals.":[27],"It":[28],"is":[29,65,72,87,92,159,171,176],"well-known":[30,196],"that":[31,155],"optimal":[32],"tests":[33,43],"in":[34,46,144],"Neyman-Pearson":[36],"setting":[37],"are":[38],"based":[39],"on":[40],"likelihood":[41],"ratio":[42],"(LRT),":[44],"which,":[45],"this":[47,120],"set-up,":[48],"evaluate":[49],"quotient":[51],"between":[52],"probability":[54],"density":[55],"functions":[56],"(PDF)":[57],"measurements":[60,83],"when":[61,167],"present":[66],"and":[67,131,150,153],"absent.":[68],"When":[69],"present,":[73],"computation":[75],"joint":[78,129,184],"PDF":[79,185],"at":[84],"nodes":[86,166],"challenging":[89],"problem.":[90],"This":[91],"due":[93],"to":[94,99,135],"statistical":[96],"dependence":[97],"introduced":[98],"signals":[102],"by":[103,114,200],"propagation":[105,147],"through":[106],"fading":[107],"channels":[108],"emitted":[113],"source.":[116],"deal":[118],"with":[119,162],"characteristic":[124],"function":[125],"(intractable)":[128],"PDF,":[130],"proposing":[132],"an":[133,188],"approximation":[134,142,158,175],"it.":[136],"derive":[138],"bounds":[139],"for":[140,186],"error":[143],"two":[145],"scenarios,":[148],"slow":[149],"fast":[151],"fading,":[152],"show":[154],"proposed":[157],"exponentially":[160],"tight":[161],"number":[164],"time-bandwidth":[169],"product":[170],"sufficiently":[172],"high.":[173],"The":[174],"used":[177],"as":[178,198],"substitute":[180],"exact":[183],"building":[187],"approximate":[189],"LRT,":[190],"which":[191],"performs":[192],"better":[193],"than":[194],"other":[195],"detectors,":[197],"verified":[199],"Monte":[201],"Carlo":[202],"simulations.":[203]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
