{"id":"https://openalex.org/W3111038511","doi":"https://doi.org/10.1186/s13634-021-00768-w","title":"Distributed localization using Levenberg-Marquardt algorithm","display_name":"Distributed localization using Levenberg-Marquardt algorithm","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3111038511","doi":"https://doi.org/10.1186/s13634-021-00768-w","mag":"3111038511"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-021-00768-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-021-00768-w","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00768-w","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00768-w","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019696245","display_name":"Shervin Parvini Ahmadi","orcid":"https://orcid.org/0000-0001-9520-5153"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Shervin Parvini Ahmadi","raw_affiliation_strings":["Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden"],"raw_orcid":"https://orcid.org/0000-0001-9520-5153","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113604613","display_name":"Anders Hansson","orcid":null},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Anders Hansson","raw_affiliation_strings":["Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008205310","display_name":"Sina Khoshfetrat Pakazad","orcid":"https://orcid.org/0000-0002-0263-2410"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sina Khoshfetrat Pakazad","raw_affiliation_strings":["C3.ai, Redwood City, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"C3.ai, Redwood City, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":0.5621,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.60573877,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9995999932289124,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9980999827384949,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9979000091552734,"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/levenberg\u2013marquardt-algorithm","display_name":"Levenberg\u2013Marquardt algorithm","score":0.8211808204650879},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7605376243591309},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6749863624572754},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6560075283050537},{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.5522822141647339},{"id":"https://openalex.org/keywords/distributed-algorithm","display_name":"Distributed algorithm","score":0.5281909704208374},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.514477014541626},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4358684718608856},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.41039878129959106},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32953816652297974},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.25885385274887085},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22806048393249512},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1859908103942871},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.06074485182762146}],"concepts":[{"id":"https://openalex.org/C87578567","wikidata":"https://www.wikidata.org/wiki/Q1426494","display_name":"Levenberg\u2013Marquardt algorithm","level":3,"score":0.8211808204650879},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7605376243591309},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6749863624572754},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6560075283050537},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.5522822141647339},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.5281909704208374},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.514477014541626},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4358684718608856},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.41039878129959106},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32953816652297974},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25885385274887085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22806048393249512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1859908103942871},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.06074485182762146},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13634-021-00768-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-021-00768-w","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00768-w","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0bfc6bc767154ecaad56f37390c2e451","is_oa":true,"landing_page_url":"https://doaj.org/article/0bfc6bc767154ecaad56f37390c2e451","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2021, Iss 1, Pp 1-26 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-021-00768-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-021-00768-w","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00768-w","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322225","display_name":"Link\u00f6pings Universitet","ror":"https://ror.org/05ynxx418"},{"id":"https://openalex.org/F4320322327","display_name":"Knut och Alice Wallenbergs Stiftelse","ror":"https://ror.org/004hzzk67"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3111038511.pdf","grobid_xml":"https://content.openalex.org/works/W3111038511.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1525535255","https://openalex.org/W1537447662","https://openalex.org/W1587990862","https://openalex.org/W1965315715","https://openalex.org/W1974074109","https://openalex.org/W1983874789","https://openalex.org/W1984032440","https://openalex.org/W2008141156","https://openalex.org/W2060321527","https://openalex.org/W2065569293","https://openalex.org/W2068484625","https://openalex.org/W2075403247","https://openalex.org/W2095172966","https://openalex.org/W2098304977","https://openalex.org/W2106457743","https://openalex.org/W2113280143","https://openalex.org/W2114674709","https://openalex.org/W2120575449","https://openalex.org/W2121535117","https://openalex.org/W2123244794","https://openalex.org/W2128745767","https://openalex.org/W2132549513","https://openalex.org/W2143474538","https://openalex.org/W2146281661","https://openalex.org/W2148658701","https://openalex.org/W2149508605","https://openalex.org/W2151568819","https://openalex.org/W2157472381","https://openalex.org/W2259690454","https://openalex.org/W2320046825","https://openalex.org/W2405272596","https://openalex.org/W2484835664","https://openalex.org/W2492779023","https://openalex.org/W2598306943","https://openalex.org/W2798909945","https://openalex.org/W2900933963","https://openalex.org/W2963575222","https://openalex.org/W2963784016","https://openalex.org/W3029645440","https://openalex.org/W3134507353","https://openalex.org/W4206180546","https://openalex.org/W4292070118","https://openalex.org/W4301014524","https://openalex.org/W4312258136","https://openalex.org/W4376548770","https://openalex.org/W6629409585"],"related_works":["https://openalex.org/W1978671516","https://openalex.org/W2895947699","https://openalex.org/W2374738832","https://openalex.org/W3196668723","https://openalex.org/W2794551249","https://openalex.org/W4224883704","https://openalex.org/W2798294881","https://openalex.org/W2950943763","https://openalex.org/W1548306442","https://openalex.org/W2800933960"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2],"paper,":[3],"we":[4],"propose":[5],"a":[6,15,45],"distributed":[7,29,96],"algorithm":[8,24,43,79],"for":[9],"sensor":[10],"network":[11],"localization":[12,47],"based":[13,100],"on":[14,21,101],"maximum":[16,103],"likelihood":[17,104],"formulation.":[18],"It":[19],"relies":[20],"the":[22,26,53,78],"Levenberg-Marquardt":[23],"where":[25],"computations":[27],"are":[28,99],"among":[30],"different":[31],"computational":[32,68],"agents":[33,69],"using":[34],"message":[35],"passing,":[36],"or":[37],"equivalently":[38],"dynamic":[39],"programming.":[40],"The":[41,75],"resulting":[42],"provides":[44],"good":[46],"accuracy,":[48],"and":[49,65],"it":[50,61,89],"converges":[51],"to":[52,72],"same":[54],"solution":[55],"as":[56,70],"its":[57],"centralized":[58],"counterpart.":[59],"Moreover,":[60],"requires":[62],"fewer":[63],"iterations":[64],"communications":[66],"between":[67],"compared":[71],"first-order":[73],"methods.":[74],"performance":[76],"of":[77],"is":[80,90],"demonstrated":[81],"with":[82],"extensive":[83],"simulations":[84],"in":[85,87],"Julia":[86],"which":[88],"shown":[91],"that":[92,98],"our":[93],"method":[94],"outperforms":[95],"methods":[97],"approximate":[102],"formulations.":[105]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
