{"id":"https://openalex.org/W4413393793","doi":"https://doi.org/10.23919/acc63710.2025.11107514","title":"Sensor Scheduling with Guarantees for Greedy Approximation of Non-Submodular mean-squared error metric","display_name":"Sensor Scheduling with Guarantees for Greedy Approximation of Non-Submodular mean-squared error metric","publication_year":2025,"publication_date":"2025-07-08","ids":{"openalex":"https://openalex.org/W4413393793","doi":"https://doi.org/10.23919/acc63710.2025.11107514"},"language":"en","primary_location":{"id":"doi:10.23919/acc63710.2025.11107514","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc63710.2025.11107514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 American Control Conference (ACC)","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/A5040599460","display_name":"Wooyeong Cho","orcid":"https://orcid.org/0000-0002-6001-1911"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wooyeong Cho","raw_affiliation_strings":["University of California Los Angeles,Department of Electrical and Computer Engineering,Los Angeles,CA,USA"],"affiliations":[{"raw_affiliation_string":"University of California Los Angeles,Department of Electrical and Computer Engineering,Los Angeles,CA,USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112712086","display_name":"Ankur Mehta","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ankur Mehta","raw_affiliation_strings":["University of California Los Angeles,Department of Electrical and Computer Engineering,Los Angeles,CA,USA"],"affiliations":[{"raw_affiliation_string":"University of California Los Angeles,Department of Electrical and Computer Engineering,Los Angeles,CA,USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040599460"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2912708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5105","last_page":"5110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9660999774932861,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9660999774932861,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9580000042915344,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10046","display_name":"Stability and Control of Uncertain Systems","score":0.930899977684021,"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/submodular-set-function","display_name":"Submodular set function","score":0.9250549077987671},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.682231068611145},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5579760670661926},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5331026315689087},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5128934383392334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.510059654712677},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.504581093788147},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.47168901562690735},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.4658457040786743},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3726775646209717},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34021949768066406},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.132306307554245},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.09618902206420898},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06171375513076782}],"concepts":[{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.9250549077987671},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.682231068611145},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5579760670661926},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5331026315689087},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5128934383392334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.510059654712677},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.504581093788147},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.47168901562690735},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.4658457040786743},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3726775646209717},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34021949768066406},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.132306307554245},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.09618902206420898},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06171375513076782},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc63710.2025.11107514","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc63710.2025.11107514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 American Control Conference (ACC)","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/W1680189815","https://openalex.org/W1803898544","https://openalex.org/W1978141941","https://openalex.org/W2033966804","https://openalex.org/W2100729440","https://openalex.org/W2114549813","https://openalex.org/W2169207653","https://openalex.org/W2290637921","https://openalex.org/W2520459424","https://openalex.org/W2582646431","https://openalex.org/W2735532146","https://openalex.org/W2963595662","https://openalex.org/W2992934504","https://openalex.org/W3011290589","https://openalex.org/W3119854832","https://openalex.org/W3128147255","https://openalex.org/W4294691880","https://openalex.org/W4327662982","https://openalex.org/W4382936019","https://openalex.org/W4389961118"],"related_works":["https://openalex.org/W2402949237","https://openalex.org/W2594118609","https://openalex.org/W2950365512","https://openalex.org/W2765425000","https://openalex.org/W4389478405","https://openalex.org/W2735578456","https://openalex.org/W1608444752","https://openalex.org/W2944632132","https://openalex.org/W2901206941","https://openalex.org/W3204684126"],"abstract_inverted_index":{"We":[0,27],"address":[1],"sensor":[2,67,108,119],"scheduling":[3,68,120],"in":[4,51],"linear":[5],"time-invariant":[6],"(LTI)":[7],"dynamical":[8],"systems,":[9],"aiming":[10],"to":[11],"optimize":[12],"the":[13,32,45,75,79,86,90,100,104,123],"utilization":[14],"of":[15,19,85],"a":[16,35,53,65,95],"limited":[17],"number":[18],"sensors,":[20],"which":[21],"is":[22,34],"inherently":[23],"an":[24],"NP-hard":[25],"problem.":[26],"explore":[28],"complex":[29],"scenarios":[30],"where":[31],"metric":[33],"non-submodular":[36,49],"mean":[37],"squared":[38],"error":[39],"(MSE)":[40],"for":[41,56,74,99,107,118],"state":[42],"estimation.":[43],"Despite":[44],"challenges":[46],"posed":[47],"by":[48],"metrics":[50],"deriving":[52],"performance":[54,72,97,124],"guarantee":[55,98,117],"greedy":[57,76,101],"solutions":[58],"over":[59],"multiple":[60],"time":[61],"steps,":[62],"we":[63,93],"develop":[64],"sequential":[66,105],"framework":[69],"that":[70,114],"ensures":[71],"guarantees":[73],"algorithm":[77],"across":[78,125],"entire":[80],"sequence":[81],"while":[82],"leveraging":[83],"concepts":[84],"submodularity":[87],"ratio":[88],"and":[89],"curvature.":[91],"Thus,":[92],"propose":[94],"theoretical":[96],"approximation":[102],"using":[103],"analysis":[106],"scheduling.":[109],"Our":[110],"simulation":[111],"results":[112],"demonstrate":[113],"our":[115],"proposed":[116],"effectively":[121],"bounds":[122],"various":[126],"system":[127],"cases.":[128]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}