{"id":"https://openalex.org/W2328594596","doi":"https://doi.org/10.1109/tsp.2016.2539142","title":"Modeling of the Fading Statistics of Wireless Sensor Network Channels in Industrial Environments","display_name":"Modeling of the Fading Statistics of Wireless Sensor Network Channels in Industrial Environments","publication_year":2016,"publication_date":"2016-03-07","ids":{"openalex":"https://openalex.org/W2328594596","doi":"https://doi.org/10.1109/tsp.2016.2539142","mag":"2328594596"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2016.2539142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2016.2539142","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/A5048704239","display_name":"Tomas Olofsson","orcid":null},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Tomas Olofsson","raw_affiliation_strings":["Division of Signals and Systems, Department of Engineering Sciences, Uppsala University, Uppsala, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Signals and Systems, Department of Engineering Sciences, Uppsala University, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084552239","display_name":"Anders \u00c5hl\u00e9n","orcid":"https://orcid.org/0000-0001-9066-5468"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Anders Ahlen","raw_affiliation_strings":["Division of Signals and Systems, Department of Engineering Sciences, Uppsala University, Uppsala, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Signals and Systems, Department of Engineering Sciences, Uppsala University, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004012289","display_name":"Mikael Gidlund","orcid":"https://orcid.org/0000-0003-0873-7827"},"institutions":[{"id":"https://openalex.org/I56475706","display_name":"Mid Sweden University","ror":"https://ror.org/019k1pd13","country_code":"SE","type":"education","lineage":["https://openalex.org/I56475706"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mikael Gidlund","raw_affiliation_strings":["Dept. of Information and Communication Systems, Mid Sweden University, Sundsvall, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information and Communication Systems, Mid Sweden University, Sundsvall, Sweden","institution_ids":["https://openalex.org/I56475706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.426,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.98706706,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"64","issue":"12","first_page":"3021","last_page":"3034"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9973000288009644,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9973000288009644,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9872999787330627,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9815999865531921,"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":0.820372462272644},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.5811405777931213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5067699551582336},{"id":"https://openalex.org/keywords/log-normal-distribution","display_name":"Log-normal distribution","score":0.505204975605011},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4975035488605499},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4704377055168152},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4692537486553192},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44812649488449097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3967835307121277},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13720238208770752}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.820372462272644},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.5811405777931213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5067699551582336},{"id":"https://openalex.org/C151620405","wikidata":"https://www.wikidata.org/wiki/Q826116","display_name":"Log-normal distribution","level":2,"score":0.505204975605011},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4975035488605499},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4704377055168152},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4692537486553192},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44812649488449097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3967835307121277},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13720238208770752}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2016.2539142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2016.2539142","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4699999988079071},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322327","display_name":"Knut och Alice Wallenbergs Stiftelse","ror":"https://ror.org/004hzzk67"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W130037070","https://openalex.org/W595252221","https://openalex.org/W621546036","https://openalex.org/W1522045078","https://openalex.org/W1576718945","https://openalex.org/W1840847274","https://openalex.org/W1964581121","https://openalex.org/W1983966944","https://openalex.org/W1988035518","https://openalex.org/W2019282277","https://openalex.org/W2038885294","https://openalex.org/W2042103430","https://openalex.org/W2042529459","https://openalex.org/W2042613222","https://openalex.org/W2044601884","https://openalex.org/W2049633694","https://openalex.org/W2068063241","https://openalex.org/W2076393035","https://openalex.org/W2076683887","https://openalex.org/W2082609757","https://openalex.org/W2084134149","https://openalex.org/W2088202339","https://openalex.org/W2095575351","https://openalex.org/W2095589166","https://openalex.org/W2096878708","https://openalex.org/W2100736366","https://openalex.org/W2102449144","https://openalex.org/W2103276054","https://openalex.org/W2108787612","https://openalex.org/W2109820980","https://openalex.org/W2111742831","https://openalex.org/W2113118558","https://openalex.org/W2115809838","https://openalex.org/W2123795346","https://openalex.org/W2124316204","https://openalex.org/W2129175284","https://openalex.org/W2131576154","https://openalex.org/W2133691699","https://openalex.org/W2134794131","https://openalex.org/W2139794367","https://openalex.org/W2140452629","https://openalex.org/W2142635246","https://openalex.org/W2168175751","https://openalex.org/W2168210912","https://openalex.org/W2176075850","https://openalex.org/W2317912355","https://openalex.org/W3017143921","https://openalex.org/W4248373945","https://openalex.org/W6678238756"],"related_works":["https://openalex.org/W2116044594","https://openalex.org/W2101999641","https://openalex.org/W1503152075","https://openalex.org/W301676527","https://openalex.org/W2052600062","https://openalex.org/W2124541664","https://openalex.org/W289296924","https://openalex.org/W2122920812","https://openalex.org/W2076148615","https://openalex.org/W2942696422"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"investigation":[4],"of":[5,12,63,84,95,104,133,154,163,166,191],"how":[6],"to":[7,52,178,218],"model":[8,77,106,114,134,146],"the":[9,45,61,81,85,102,105,110,127,148,151,155,161,164,167,171,175,188,236],"statistical":[10],"properties":[11,83],"radio":[13,86],"channels":[14],"arising":[15],"in":[16,160,174],"industrial":[17],"environments":[18],"over":[19],"long":[20],"time":[21,152,172],"horizons,":[22],"e.g.,":[23],"hours":[24],"and":[25,97,126,199,205,242],"days.":[26],"Based":[27],"on":[28,118],"extensive":[29],"measurement":[30],"campaigns,":[31],"conducted":[32],"at":[33,58],"three":[34],"different":[35],"factory":[36],"buildings,":[37],"it":[38,184],"is":[39,68,72,92,185,194,216],"shown":[40,73,186,217],"that":[41,74,138,187],"for":[42,55,79,147,196,223],"mobile":[43],"transceivers":[44,56],"fading":[46,66,82],"characteristics":[47],"are":[48,226,232],"Rayleigh":[49],"or":[50],"close":[51],"Rayleigh.":[53],"However,":[54],"mounted":[57],"fixed":[59],"locations,":[60],"use":[62],"conventional":[64],"single":[65],"distributions":[67,193],"not":[69,227],"sufficient.":[70],"It":[71],"a":[75,93,119,130,140,144,179,209,240,243],"suitable":[76,145],"structure":[78],"describing":[80],"channels,":[87],"as":[88],"measured":[89],"by":[90,234],"power,":[91],"mixture":[94,168,192],"gamma":[96],"compound":[98],"gamma-lognormal":[99],"distributions.":[100,169],"Furthermore,":[101],"complexity":[103],"generally":[107],"increases":[108],"with":[109],"observation":[111],"interval.":[112],"A":[113],"selection":[115],"approach":[116],"based":[117],"connection":[120],"between":[121],"Kullback's":[122],"mean":[123],"discrimination":[124],"information":[125],"log-likelihood":[128],"provides":[129],"robust":[131],"choice":[132],"structure.":[135],"We":[136],"show":[137],"while":[139],"(semi)-Markov":[141],"chain":[142],"constitute":[143],"channel":[149],"dynamics":[150],"dependence":[153,173],"data":[156,176,201,224],"can":[157],"be":[158],"neglected":[159],"estimation":[162],"parameters":[165,221],"Neglecting":[170],"leads":[177],"more":[180],"efficient":[181],"parametrization.":[182],"Moreover,":[183],"considered":[189],"class":[190],"identifiable":[195],"both":[197],"continuous":[198],"quantized":[200],"under":[202,206,212],"certain":[203],"conditions":[204,208],"those":[207],"maximum":[210],"likelihood":[211,238],"independence":[213],"assumption":[214],"estimator":[215],"give":[219],"consistent":[220],"also":[222],"which":[225],"independent.":[228],"The":[229],"parameter":[230],"estimates":[231],"obtained":[233],"maximizing":[235],"log":[237],"using":[239],"genetic":[241],"local":[244],"interior":[245],"point":[246],"algorithm.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}