{"id":"https://openalex.org/W2011729821","doi":"https://doi.org/10.1109/icarcv.2012.6485130","title":"Distributed filtering in sensor networks with hybrid communication constraints","display_name":"Distributed filtering in sensor networks with hybrid communication constraints","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2011729821","doi":"https://doi.org/10.1109/icarcv.2012.6485130","mag":"2011729821"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2012.6485130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2012.6485130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 12th International Conference on Control Automation Robotics &amp; Vision (ICARCV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5025153862","display_name":"Chi Huang","orcid":"https://orcid.org/0000-0001-8927-4072"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chi Huang","raw_affiliation_strings":["Department of Mathematics, City University of Hong Kong, Hong Kong, China","Department of Mathematics; City University of Hong Kong; Hong Kong; China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Mathematics; City University of Hong Kong; Hong Kong; China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084476585","display_name":"Daniel W. C. Ho","orcid":"https://orcid.org/0000-0001-9799-3712"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Daniel W.C. Ho","raw_affiliation_strings":["Department of Mathematics, University of Hong Kong, Hong Kong, China","Department of Mathematics; City University of Hong Kong; Hong Kong; China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Mathematics; City University of Hong Kong; Hong Kong; China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049482611","display_name":"Jianquan Lu","orcid":"https://orcid.org/0000-0003-4423-6034"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianquan Lu","raw_affiliation_strings":["Department of Mathematics, Southeast University, Nanjing, Jiangsu, China","Department of Mathematics , Southeast University , Nanjing , Jiangsu , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Southeast University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Department of Mathematics , Southeast University , Nanjing , Jiangsu , China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100699858","display_name":"Zidong Wang","orcid":"https://orcid.org/0000-0002-9576-7401"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zidong Wang","raw_affiliation_strings":["Department of Information Systems and Computing, Brunel University, Uxbridge, UK","[Department of Information Systems and Computing, Brunel University, Uxbridge, United Kingdom]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems and Computing, Brunel University, Uxbridge, UK","institution_ids":["https://openalex.org/I59433898"]},{"raw_affiliation_string":"[Department of Information Systems and Computing, Brunel University, Uxbridge, United Kingdom]","institution_ids":["https://openalex.org/I59433898"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"46","issue":null,"first_page":"36","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9970999956130981,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9970999956130981,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9955000281333923,"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/T10046","display_name":"Stability and Control of Uncertain Systems","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/network-packet","display_name":"Network packet","score":0.6037018299102783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5858868956565857},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5742676854133606},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.57245272397995},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5707694888114929},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5196201205253601},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.47920212149620056},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4667890965938568},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3547619879245758},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34491175413131714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26888594031333923},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.26864731311798096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20211908221244812},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13890284299850464},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08282625675201416}],"concepts":[{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6037018299102783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5858868956565857},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5742676854133606},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.57245272397995},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5707694888114929},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5196201205253601},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.47920212149620056},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4667890965938568},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3547619879245758},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34491175413131714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26888594031333923},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.26864731311798096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20211908221244812},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13890284299850464},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08282625675201416},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2012.6485130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2012.6485130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 12th International Conference on Control Automation Robotics &amp; Vision (ICARCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1528184823","https://openalex.org/W1970381782","https://openalex.org/W1978656865","https://openalex.org/W1984582715","https://openalex.org/W2002532488","https://openalex.org/W2015428454","https://openalex.org/W2047474857","https://openalex.org/W2068483374","https://openalex.org/W2103715948","https://openalex.org/W2105956919","https://openalex.org/W2129411269","https://openalex.org/W2132438068","https://openalex.org/W2140974698","https://openalex.org/W2142705361","https://openalex.org/W2149259182","https://openalex.org/W2155068963","https://openalex.org/W2168515859","https://openalex.org/W2784737266","https://openalex.org/W4233647833","https://openalex.org/W6747819139"],"related_works":["https://openalex.org/W1975451135","https://openalex.org/W2989915292","https://openalex.org/W2890570089","https://openalex.org/W2807251790","https://openalex.org/W2073793005","https://openalex.org/W3148968234","https://openalex.org/W145760256","https://openalex.org/W2028086369","https://openalex.org/W2141581111","https://openalex.org/W2129477171"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2,138,158,163],"concerned":[3],"with":[4,19],"the":[5,31,37,40,55,61,67,77,99,112,130,134,143,150,167,170],"distributed":[6,122],"H":[7,123,152],"<sub":[8,124,153],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[9,125,154],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u221e</sub>":[10,126,155],"filtering":[11,100,135],"problem":[12,101],"for":[13,94],"a":[14],"class":[15],"of":[16,25,33,42,64,79,145,169],"sensor":[17,103],"networks":[18,104],"hybrid":[20],"communication":[21],"constraints.":[22],"Three":[23],"kinds":[24],"communications":[26],"constraints":[27,78],"are":[28,115],"considered":[29],"during":[30],"process":[32],"information":[34,81,90],"transmission":[35],"among":[36],"sensors:":[38],"(i)":[39,133],"estimation":[41],"sensors":[43],"needs":[44],"to":[45,60,119,128,165],"be":[46,74,92],"sampled":[47,62,80],"before":[48],"transmitting;":[49],"(ii)":[50,149],"at":[51],"each":[52,95],"sampling":[53],"instant,":[54],"packet":[56,84],"dropouts":[57,85],"would":[58,86],"happen":[59],"data":[63,83],"sensors;":[65],"(iii)":[66],"noise":[68],"and":[69,82,107,117,147],"disturbance":[70,146],"exist.":[71],"It":[72],"should":[73],"noted":[75],"that":[76,88],"lead":[87],"less":[89],"can":[91],"employed":[93],"sensor,":[96],"which":[97],"makes":[98],"in":[102,142],"more":[105],"challenging":[106],"practical.":[108],"Some":[109],"criteria":[110],"concerning":[111],"connection":[113],"gains":[114],"derived":[116],"used":[118],"design":[120],"efficient":[121],"filter":[127],"achieve":[129],"following":[131],"objectives:":[132],"error":[136],"system":[137],"exponentially":[139],"mean-square":[140],"stable":[141],"absence":[144],"noise;":[148],"prescribed":[151],"performance":[156],"constraint":[157],"satisfied.":[159],"A":[160],"numerical":[161],"example":[162],"utilized":[164],"illustrate":[166],"effectiveness":[168],"theoretical":[171],"results.":[172]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
