{"id":"https://openalex.org/W2884882509","doi":"https://doi.org/10.1109/vtcspring.2018.8417672","title":"Iterative Message Alignment for Quantized Message Passing between Distributed Sensor Nodes","display_name":"Iterative Message Alignment for Quantized Message Passing between Distributed Sensor Nodes","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2884882509","doi":"https://doi.org/10.1109/vtcspring.2018.8417672","mag":"2884882509"},"language":"en","primary_location":{"id":"doi:10.1109/vtcspring.2018.8417672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2018.8417672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 87th Vehicular Technology Conference (VTC Spring)","raw_type":"proceedings-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/A5042764303","display_name":"Maximilian Stark","orcid":"https://orcid.org/0000-0002-1750-5895"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]},{"id":"https://openalex.org/I884043246","display_name":"Hamburg University of Technology","ror":"https://ror.org/04bs1pb34","country_code":"DE","type":"education","lineage":["https://openalex.org/I884043246"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maximilian Stark","raw_affiliation_strings":["Hamburg University of Technology, Institute of Communications, Hamburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hamburg University of Technology, Institute of Communications, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309","https://openalex.org/I884043246"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066487466","display_name":"Jan Lewandowsky","orcid":"https://orcid.org/0000-0001-7945-3528"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]},{"id":"https://openalex.org/I884043246","display_name":"Hamburg University of Technology","ror":"https://ror.org/04bs1pb34","country_code":"DE","type":"education","lineage":["https://openalex.org/I884043246"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jan Lewandowsky","raw_affiliation_strings":["Hamburg University of Technology, Institute of Communications, Hamburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hamburg University of Technology, Institute of Communications, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309","https://openalex.org/I884043246"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091790848","display_name":"Gerhard Bauch","orcid":"https://orcid.org/0000-0002-0050-2604"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]},{"id":"https://openalex.org/I884043246","display_name":"Hamburg University of Technology","ror":"https://ror.org/04bs1pb34","country_code":"DE","type":"education","lineage":["https://openalex.org/I884043246"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerhard Bauch","raw_affiliation_strings":["Hamburg University of Technology, Institute of Communications, Hamburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hamburg University of Technology, Institute of Communications, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309","https://openalex.org/I884043246"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5929,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71690589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":1.0,"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":1.0,"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":0.996999979019165,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9610999822616577,"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/fusion-center","display_name":"Fusion center","score":0.8009425401687622},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7574844360351562},{"id":"https://openalex.org/keywords/information-bottleneck-method","display_name":"Information bottleneck method","score":0.7478238940238953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7182924747467041},{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.7151588797569275},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6539109945297241},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5682845711708069},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5052416920661926},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.4736332297325134},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.46262288093566895},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4586375653743744},{"id":"https://openalex.org/keywords/distributed-algorithm","display_name":"Distributed algorithm","score":0.45856985449790955},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4192364513874054},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3985109031200409},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.358582466840744},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32594868540763855},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2734004259109497},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.2010841965675354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14850065112113953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1459895670413971}],"concepts":[{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.8009425401687622},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7574844360351562},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.7478238940238953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7182924747467041},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.7151588797569275},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6539109945297241},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5682845711708069},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5052416920661926},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.4736332297325134},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.46262288093566895},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4586375653743744},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.45856985449790955},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4192364513874054},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3985109031200409},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.358582466840744},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32594868540763855},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2734004259109497},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2010841965675354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14850065112113953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1459895670413971},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vtcspring.2018.8417672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2018.8417672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 87th Vehicular Technology Conference (VTC Spring)","raw_type":"proceedings-article"},{"id":"pmh:oai:tore.tuhh.de:11420/2570","is_oa":false,"landing_page_url":"http://hdl.handle.net/11420/2570","pdf_url":null,"source":{"id":"https://openalex.org/S4306401751","display_name":"tub.dok (Hamburg University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I884043246","host_organization_name":"Hamburg University of Technology","host_organization_lineage":["https://openalex.org/I884043246"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W595252221","https://openalex.org/W1530235965","https://openalex.org/W1686946872","https://openalex.org/W2108721666","https://openalex.org/W2275058256","https://openalex.org/W2514388883","https://openalex.org/W2540508141","https://openalex.org/W2610335499","https://openalex.org/W2743461776","https://openalex.org/W6631886430","https://openalex.org/W6637108112"],"related_works":["https://openalex.org/W3113270693","https://openalex.org/W2108319163","https://openalex.org/W2950826591","https://openalex.org/W1517521717","https://openalex.org/W2950943763","https://openalex.org/W2798294881","https://openalex.org/W2957594956","https://openalex.org/W2313679552","https://openalex.org/W2800933960","https://openalex.org/W1548306442"],"abstract_inverted_index":{"Mutual":[0],"information":[1,7,42,152],"maximizing":[2],"clustering":[3],"techniques,":[4],"like":[5],"the":[6,41,46,52,55,59,64,71,100,103,106,112,118,132,154,168],"bottleneck":[8,43],"method,":[9],"enable":[10],"message":[11,143,163,170],"passing":[12],"based":[13],"on":[14],"compressed":[15],"but":[16],"highly":[17],"informative":[18],"beliefs.":[19],"In":[20,70],"this":[21,25,147],"paper,":[22],"we":[23,141,145,158],"apply":[24],"concept":[26],"to":[27,90,95,111,153,166,194],"joint":[28],"maximum":[29,197],"a-posteriori":[30,198],"detection":[31,199],"problems":[32],"in":[33,58,105],"sensor":[34,61,75,101,107,134],"networks.":[35],"We":[36],"show":[37,183],"that":[38,184],"by":[39],"leveraging":[40],"method":[44],"both":[45],"amount":[47],"of":[48,54,86,99,120],"exchanged":[49],"data":[50],"and":[51,80,126],"complexity":[53],"operations":[56],"performed":[57],"involved":[60],"nodes":[62,76,108],"respectively":[63],"fusion":[65,92,155],"center":[66],"is":[67,124,135],"significantly":[68],"reduced.":[69],"considered":[72],"network,":[73],"distributed":[74],"quantize":[77],"their":[78],"measurements":[79],"forward":[81],"only":[82,174],"cluster":[83,88,122,177],"indices":[84,178],"instead":[85],"high-precision":[87],"representatives":[89],"a":[91,96,121,138,160],"center.":[93,156],"Due":[94],"spatial":[97],"distribution":[98],"nodes,":[102],"quantizers":[104],"are":[109,179],"optimized":[110],"actual,":[113],"varying":[114],"measurement":[115],"conditions.":[116],"Thus,":[117],"meaning":[119],"index":[123],"sensor-dependent":[125],"cannot":[127],"be":[128],"uniquely":[129],"recaptured":[130],"if":[131],"transmitting":[133,150],"unknown.":[136],"Using":[137],"technique":[139],"which":[140],"call":[142],"alignment":[144,164,171],"resolve":[146],"ambiguity":[148],"without":[149],"additional":[151],"Additionally,":[157],"present":[159],"novel":[161],"iterative":[162],"algorithm":[165],"solve":[167],"generalized":[169],"problem.":[172],"Although":[173],"4-bit":[175],"integer-valued":[176],"transmitted,":[180],"included":[181],"simulations":[182],"our":[185],"proposed":[186],"system":[187],"encounters":[188],"no":[189],"considerable":[190],"performance":[191],"degradation":[192],"compared":[193],"an":[195],"optimum":[196],"strategy.":[200]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}