{"id":"https://openalex.org/W2784246955","doi":"https://doi.org/10.1109/mrs.2017.8250939","title":"Efficient distributed state estimation of hidden Markov Models over unreliable networks","display_name":"Efficient distributed state estimation of hidden Markov Models over unreliable networks","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2784246955","doi":"https://doi.org/10.1109/mrs.2017.8250939","mag":"2784246955"},"language":"en","primary_location":{"id":"doi:10.1109/mrs.2017.8250939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mrs.2017.8250939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Symposium on Multi-Robot and Multi-Agent Systems (MRS)","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/A5086215345","display_name":"Amirhossein Tamjidi","orcid":"https://orcid.org/0000-0002-9273-3468"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Amirhossein Tamjidi","raw_affiliation_strings":["Department of Aerospace Engineering, Texas A&M University"],"affiliations":[{"raw_affiliation_string":"Department of Aerospace Engineering, Texas A&M University","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010048989","display_name":"Reza Oftadeh","orcid":"https://orcid.org/0000-0001-8319-598X"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Reza Oftadeh","raw_affiliation_strings":["Department of Computer Science & Engineering, Texas A&M University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Texas A&M University","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061286389","display_name":"Suman Chakravorty","orcid":"https://orcid.org/0000-0003-3074-3406"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suman Chakravorty","raw_affiliation_strings":["Department of Aerospace Engineering, Texas A&M University"],"affiliations":[{"raw_affiliation_string":"Department of Aerospace Engineering, Texas A&M University","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035574727","display_name":"Dylan A. Shell","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dylan Shell","raw_affiliation_strings":["Department of Computer Science & Engineering, Texas A&M University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Texas A&M University","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086215345"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.4144,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68488445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"112","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9997000098228455,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9997000098228455,"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":0.9984999895095825,"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":0.9926000237464905,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.7788091897964478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.733815610408783},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.6170613765716553},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6082725524902344},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4895661771297455},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.48063531517982483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4384475350379944},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.432121217250824},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.42489057779312134},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.392447829246521},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39043453335762024},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34327876567840576},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1638152003288269}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7788091897964478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.733815610408783},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6170613765716553},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6082725524902344},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4895661771297455},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.48063531517982483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4384475350379944},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.432121217250824},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.42489057779312134},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.392447829246521},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39043453335762024},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34327876567840576},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1638152003288269},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mrs.2017.8250939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mrs.2017.8250939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Symposium on Multi-Robot and Multi-Agent Systems (MRS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W104537965","https://openalex.org/W1528184823","https://openalex.org/W1544527608","https://openalex.org/W1768152053","https://openalex.org/W2006405885","https://openalex.org/W2011457345","https://openalex.org/W2018211155","https://openalex.org/W2024522552","https://openalex.org/W2030264183","https://openalex.org/W2050386482","https://openalex.org/W2079119589","https://openalex.org/W2098863504","https://openalex.org/W2116564195","https://openalex.org/W2127821072","https://openalex.org/W2143558629","https://openalex.org/W2150235352","https://openalex.org/W2161254839","https://openalex.org/W2166240513","https://openalex.org/W2169329579","https://openalex.org/W2286561681","https://openalex.org/W2289158459","https://openalex.org/W2315679216","https://openalex.org/W2505253431","https://openalex.org/W2565702118","https://openalex.org/W3006292233","https://openalex.org/W6604239174","https://openalex.org/W6654843070","https://openalex.org/W6674727558","https://openalex.org/W6774462658"],"related_works":["https://openalex.org/W2027903142","https://openalex.org/W1510894296","https://openalex.org/W3166133680","https://openalex.org/W2989366387","https://openalex.org/W2134386692","https://openalex.org/W2194396582","https://openalex.org/W2592341669","https://openalex.org/W2794873331","https://openalex.org/W2075517632","https://openalex.org/W2735859191"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,14,83,95,100],"new":[4],"recursive":[5],"Hybrid":[6],"consensus":[7,68,74],"filter":[8],"for":[9],"distributed":[10],"state":[11],"estimation":[12],"on":[13,82],"Hidden":[15],"Markov":[16,86],"Model":[17],"(HMM),":[18],"which":[19],"is":[20,31,58,64,77,92,105],"well":[21],"suited":[22],"to":[23,34,66],"multirobot":[24],"applications":[25],"and":[26,37,43,46,99,103],"settings.":[27],"The":[28,89],"proposed":[29,90],"algorithm":[30],"scalable,":[32],"robust":[33],"network":[35,57],"failure":[36],"capable":[38],"of":[39,54],"handling":[40],"non-Gaussian":[41],"transition":[42],"observation":[44],"models":[45],"is,":[47],"therefore,":[48],"quite":[49],"general.":[50],"No":[51],"global":[52],"knowledge":[53],"the":[55,111],"communication":[56],"assumed.":[59],"Iterative":[60],"Conservative":[61],"Fusion":[62],"(ICF)":[63],"used":[65],"reach":[67],"over":[69,75],"potentially":[70],"correlated":[71],"priors,":[72],"while":[73],"likelihoods":[76],"handled":[78],"using":[79],"weights":[80],"based":[81],"Metropolis":[84],"Hastings":[85],"Chain":[87],"(MHMC).":[88],"method":[91],"evaluated":[93],"in":[94],"multi-agent":[96],"tracking":[97],"problem":[98],"high-dimensional":[101],"HMM":[102],"it":[104],"shown":[106],"that":[107],"its":[108],"performance":[109],"surpasses":[110],"competing":[112],"algorithms.":[113]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}