{"id":"https://openalex.org/W2946227891","doi":"https://doi.org/10.1109/globecom38437.2019.9013446","title":"Coded Distributed Tracking","display_name":"Coded Distributed Tracking","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W2946227891","doi":"https://doi.org/10.1109/globecom38437.2019.9013446","mag":"2946227891"},"language":"en","primary_location":{"id":"doi:10.1109/globecom38437.2019.9013446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom38437.2019.9013446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1905.05574","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000735073","display_name":"Albin Severinson","orcid":"https://orcid.org/0000-0002-3450-4392"},"institutions":[{"id":"https://openalex.org/I2799829267","display_name":"Simula Research Laboratory","ror":"https://ror.org/00vn06n10","country_code":"NO","type":"facility","lineage":["https://openalex.org/I2799829267"]},{"id":"https://openalex.org/I4387153661","display_name":"Simula UiB","ror":"https://ror.org/05kmggt55","country_code":null,"type":"nonprofit","lineage":["https://openalex.org/I2799829267","https://openalex.org/I4387153661","https://openalex.org/I4432739"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Albin Severinson","raw_affiliation_strings":["Simula UiB, Bergen, Norway","Simula UiB"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simula UiB, Bergen, Norway","institution_ids":["https://openalex.org/I2799829267","https://openalex.org/I4387153661"]},{"raw_affiliation_string":"Simula UiB","institution_ids":["https://openalex.org/I2799829267","https://openalex.org/I4387153661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090738616","display_name":"Eirik Rosnes","orcid":"https://orcid.org/0000-0001-8236-6601"},"institutions":[{"id":"https://openalex.org/I2799829267","display_name":"Simula Research Laboratory","ror":"https://ror.org/00vn06n10","country_code":"NO","type":"facility","lineage":["https://openalex.org/I2799829267"]},{"id":"https://openalex.org/I4387153661","display_name":"Simula UiB","ror":"https://ror.org/05kmggt55","country_code":null,"type":"nonprofit","lineage":["https://openalex.org/I2799829267","https://openalex.org/I4387153661","https://openalex.org/I4432739"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Eirik Rosnes","raw_affiliation_strings":["Simula UiB, Bergen, Norway","Simula UiB"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simula UiB, Bergen, Norway","institution_ids":["https://openalex.org/I2799829267","https://openalex.org/I4387153661"]},{"raw_affiliation_string":"Simula UiB","institution_ids":["https://openalex.org/I2799829267","https://openalex.org/I4387153661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014522913","display_name":"Alexandre Graell i Amat","orcid":"https://orcid.org/0000-0002-5725-869X"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Alexandre Graell i Amat","raw_affiliation_strings":["Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden","Chalmers University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"Chalmers University of Technology","institution_ids":["https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0574958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","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/T13553","display_name":"Age of Information Optimization","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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9937999844551086,"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/T12079","display_name":"IoT Networks and Protocols","score":0.9735000133514404,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7855645418167114},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6400160193443298},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6395326852798462},{"id":"https://openalex.org/keywords/erasure","display_name":"Erasure","score":0.5502790808677673},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5153788924217224},{"id":"https://openalex.org/keywords/replication","display_name":"Replication (statistics)","score":0.5141292214393616},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5018665790557861},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4618789851665497},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.458343505859375},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.41820353269577026},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4129365384578705},{"id":"https://openalex.org/keywords/bloom-filter","display_name":"Bloom filter","score":0.41213729977607727},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3996221721172333},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3771360218524933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15159237384796143},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12171226739883423},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.08571618795394897}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7855645418167114},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6400160193443298},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6395326852798462},{"id":"https://openalex.org/C2778790127","wikidata":"https://www.wikidata.org/wiki/Q484885","display_name":"Erasure","level":2,"score":0.5502790808677673},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5153788924217224},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.5141292214393616},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5018665790557861},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4618789851665497},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.458343505859375},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.41820353269577026},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4129365384578705},{"id":"https://openalex.org/C147224247","wikidata":"https://www.wikidata.org/wiki/Q885373","display_name":"Bloom filter","level":2,"score":0.41213729977607727},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3996221721172333},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3771360218524933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15159237384796143},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12171226739883423},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.08571618795394897},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":8,"locations":[{"id":"doi:10.1109/globecom38437.2019.9013446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom38437.2019.9013446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1905.05574","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.05574","pdf_url":"https://arxiv.org/pdf/1905.05574","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"pmh:oai:arXiv.org:1905.05574","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1905.05574","pdf_url":"https://arxiv.org/pdf/1905.05574","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:research.chalmers.se:518529","is_oa":true,"landing_page_url":"https://research.chalmers.se/en/publication/53e4f542-f82c-43d9-b52e-e9cc87f3a5d0","pdf_url":"https://research.chalmers.se/publication/518529/file/518529_Fulltext.pdf","source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:research.chalmers.se:512264","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/512264","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:research.chalmers.se:516186","is_oa":false,"landing_page_url":"http://doi.org/10.1109/GLOBECOM38437.2019.9013446","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"doi:10.48550/arxiv.1905.05574","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1905.05574","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2946227891","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1905.05574","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.05574","pdf_url":"https://arxiv.org/pdf/1905.05574","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1539055682","https://openalex.org/W1970679118","https://openalex.org/W1983886273","https://openalex.org/W2027067237","https://openalex.org/W2035197451","https://openalex.org/W2054602340","https://openalex.org/W2104192126","https://openalex.org/W2105934661","https://openalex.org/W2106465633","https://openalex.org/W2141992894","https://openalex.org/W2153344006","https://openalex.org/W2173213060","https://openalex.org/W2188333210","https://openalex.org/W2268702383","https://openalex.org/W2750669109","https://openalex.org/W2963041503","https://openalex.org/W2963953036"],"related_works":["https://openalex.org/W2972457262","https://openalex.org/W3039623208","https://openalex.org/W2909319872","https://openalex.org/W2045480089","https://openalex.org/W2921917212","https://openalex.org/W2751625010","https://openalex.org/W2963138848","https://openalex.org/W2919510779","https://openalex.org/W2620705481","https://openalex.org/W2787128677","https://openalex.org/W2809954131","https://openalex.org/W3081416330","https://openalex.org/W2977517840","https://openalex.org/W1863704471","https://openalex.org/W2552857149","https://openalex.org/W1563010314","https://openalex.org/W2951735780","https://openalex.org/W3195049185","https://openalex.org/W2950454243","https://openalex.org/W2911546317"],"abstract_inverted_index":{"We":[0,41,125,137],"consider":[1],"the":[2,6,26,47,52,64,95,110,123,127,131,146,168,172,180],"problem":[3,34,66,132],"of":[4,8,25,39,67,94,122,133,152,174],"tracking":[5,48,134],"state":[7,111],"a":[9,16,30,36,43,72,91,120,189],"process":[10],"that":[11,98,109,139],"evolves":[12],"over":[13,51,82],"time":[14],"in":[15],"distributed":[17,74,81],"setting,":[18],"with":[19,35,103],"multiple":[20,83,135],"observers":[21],"each":[22],"observing":[23],"parts":[24],"state,":[27],"which":[28],"is":[29,49,88,183],"fundamental":[31],"information":[32,193],"processing":[33],"wide":[37],"range":[38],"applications.":[40],"propose":[42,71],"cloud-assisted":[44],"scheme":[45,87,129,170,178],"where":[46,77],"performed":[50],"cloud.":[53],"In":[54,165],"particular,":[55],"to":[56,130],"provide":[57],"timely":[58],"and":[59,62,194],"accurate":[60],"updates,":[61],"alleviate":[63],"straggler":[65],"cloud":[68],"computing,":[69],"we":[70,187],"coded":[73,78,92],"computing":[75],"approach":[76],"observations":[79],"are":[80],"workers.":[84,124],"The":[85,150],"proposed":[86,128,169],"based":[89],"on":[90,100],"version":[93],"Kalman":[96],"filter":[97],"operates":[99],"data":[101],"encoded":[102],"an":[104,175],"erasure":[105],"correcting":[106],"code,":[107],"such":[108],"can":[112],"be":[113],"estimated":[114],"from":[115],"partial":[116],"updates":[117],"computed":[118],"by":[119],"subset":[121],"apply":[126],"vehicles.":[136],"show":[138],"replication":[140],"achieves":[141],"significantly":[142],"higher":[143],"accuracy":[144,160,173,196],"than":[145],"corresponding":[147],"uncoded":[148],"scheme.":[149],"use":[151],"maximum":[153],"distance":[154],"separable":[155],"(MDS)":[156],"codes":[157],"further":[158],"improves":[159],"for":[161,197],"larger":[162],"update":[163,181],"intervals.":[164],"both":[166],"cases,":[167],"approaches":[171],"ideal":[176],"centralized":[177],"when":[179],"interval":[182],"large":[184],"enough.":[185],"Finally,":[186],"observe":[188],"trade-off":[190],"between":[191],"age-of-":[192],"estimation":[195],"MDS":[198],"codes.":[199]},"counts_by_year":[],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}
