{"id":"https://openalex.org/W3107210262","doi":"https://doi.org/10.1109/twc.2020.3040027","title":"Error Analysis for Status Update From Sensors With Temporally and Spatially Correlated Observations","display_name":"Error Analysis for Status Update From Sensors With Temporally and Spatially Correlated Observations","publication_year":2020,"publication_date":"2020-12-03","ids":{"openalex":"https://openalex.org/W3107210262","doi":"https://doi.org/10.1109/twc.2020.3040027","mag":"3107210262"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2020.3040027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2020.3040027","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"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 Wireless Communications","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/A5100766122","display_name":"Heng Zhang","orcid":"https://orcid.org/0000-0002-1272-698X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Heng Zhang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1272-698X","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008150938","display_name":"Zhiyuan Jiang","orcid":"https://orcid.org/0000-0002-8522-5721"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiyuan Jiang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-8522-5721","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084521046","display_name":"Shugong Xu","orcid":"https://orcid.org/0000-0003-1905-6269"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shugong Xu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-1905-6269","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5021120517","display_name":"Sheng Zhou","orcid":"https://orcid.org/0000-0003-0651-0071"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sheng Zhou","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-0651-0071","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100766122"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9712,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.78725885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"20","issue":"3","first_page":"2136","last_page":"2149"},"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":0.9746000170707703,"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/T11993","display_name":"Atomic and Subatomic Physics Research","score":0.9675999879837036,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7361466884613037},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6332117915153503},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5776461362838745},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.49115893244743347},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.43699365854263306},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.4244532287120819},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.41798287630081177},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4102831780910492},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3974849581718445},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2251770794391632},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21738344430923462},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18584761023521423},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17517700791358948},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11832326650619507}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7361466884613037},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6332117915153503},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5776461362838745},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.49115893244743347},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.43699365854263306},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.4244532287120819},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.41798287630081177},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4102831780910492},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3974849581718445},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2251770794391632},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21738344430923462},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18584761023521423},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17517700791358948},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11832326650619507}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/twc.2020.3040027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2020.3040027","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"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 Wireless Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4542831392","display_name":null,"funder_award_id":"61861136003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8608808607","display_name":null,"funder_award_id":"91638204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8975063804","display_name":null,"funder_award_id":"61871254","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W143236119","https://openalex.org/W1520053542","https://openalex.org/W1919404870","https://openalex.org/W1993918491","https://openalex.org/W1996160600","https://openalex.org/W2095323819","https://openalex.org/W2150370263","https://openalex.org/W2522693205","https://openalex.org/W2565880662","https://openalex.org/W2797442898","https://openalex.org/W2808614360","https://openalex.org/W2905085454","https://openalex.org/W2908558272","https://openalex.org/W2916991616","https://openalex.org/W2922356761","https://openalex.org/W2963221555","https://openalex.org/W2963270598","https://openalex.org/W2963696760","https://openalex.org/W2963739418","https://openalex.org/W2963782453","https://openalex.org/W2963869148","https://openalex.org/W2964201926","https://openalex.org/W2975374931","https://openalex.org/W2995485083","https://openalex.org/W3009508650","https://openalex.org/W3017345035","https://openalex.org/W3106385712","https://openalex.org/W3122128387","https://openalex.org/W4206545993","https://openalex.org/W4300223101","https://openalex.org/W6773949222"],"related_works":["https://openalex.org/W1660242800","https://openalex.org/W2393870460","https://openalex.org/W2254578859","https://openalex.org/W4284894156","https://openalex.org/W2161803855","https://openalex.org/W2077211377","https://openalex.org/W1975451135","https://openalex.org/W3110774753","https://openalex.org/W2134539662","https://openalex.org/W3148968234"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,14,38,45,66,82,101,138,158,161,187],"status":[4,27,42],"update":[5,43],"performance":[6],"in":[7,81,144,157],"wireless":[8,55,118,134,171,206],"sensor":[9,197,207],"networks":[10,56],"when":[11],"status,":[12],"describing":[13],"physical":[15],"reality":[16],"that":[17,169],"is":[18,21,28,48,57,136,147,165],"being":[19],"sensed,":[20],"temporally":[22],"and":[23,97,109,115,191],"spatially":[24],"correlated.":[25],"The":[26,50,120],"modeled":[29,58],"as":[30,59],"a":[31,116,150],"time-varying":[32],"Gauss-Markov":[33],"Random":[34],"Field":[35],"(GMRF),":[36],"whereby":[37],"estimation":[39,90],"error":[40,91],"of":[41,73,87,140,163,170],"at":[44],"fusion":[46],"center":[47],"analyzed.":[49],"transmission":[51],"latency":[52],"introduced":[53],"by":[54,154],"exponentially":[60],"distributed":[61],"random":[62],"variables.":[63],"We":[64],"extend":[65],"existing":[67],"queuing":[68],"analysis":[69,156],"results":[70,122,175],"for":[71,94],"Age":[72],"Information":[74],"(AoI)":[75],"with":[76,181],"uncorrelated":[77],"sources":[78],"to":[79,126,205],"GMRF":[80],"considered":[83],"scenario.":[84],"Closed-form":[85],"expressions":[86],"average":[88],"remote":[89],"are":[92,123,176],"obtained":[93],"both":[95,105],"one-":[96],"two-dimensional":[98],"GMRFs":[99],"assuming":[100],"exponential":[102],"time-correlation":[103],"function,":[104],"First-Come":[106],"First-Served":[107,111],"(FCFS)":[108],"Last-Come":[110],"(LCFS)":[112],"service":[113],"disciplines,":[114],"single":[117],"link.":[119],"analytical":[121],"then":[124],"extended":[125],"scenarios":[127],"wherein":[128],"multi-packet":[129],"reception,":[130],"i.e.,":[131],"multiple":[132],"concurrent":[133],"links,":[135],"enabled;":[137],"difficulty":[139],"analyzing":[141],"obsolete":[142],"updates":[143],"this":[145],"case":[146],"addressed":[148],"leveraging":[149],"reasonable":[151],"approximation":[152],"validated":[153],"theoretical":[155,183],"regime":[159],"where":[160],"number":[162],"sensors":[164],"far":[166],"more":[167],"than":[168],"links.":[172],"Monte-Carlo":[173],"simulation":[174],"also":[177],"presented":[178],"which":[179],"agree":[180],"our":[182],"analysis.":[184],"Based":[185],"on":[186],"results,":[188],"optimal":[189],"time":[190],"spatial":[192],"domain":[193],"sampling":[194],"rates":[195],"(e.g.,":[196],"density)":[198],"can":[199],"be":[200],"obtained,":[201],"providing":[202],"helpful":[203],"guidance":[204],"deployment.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}