{"id":"https://openalex.org/W2973003723","doi":"https://doi.org/10.23919/acc.2019.8814322","title":"Moving Horizon Sensor Selection for Reducing Communication Costs with Applications to Internet of Vehicles","display_name":"Moving Horizon Sensor Selection for Reducing Communication Costs with Applications to Internet of Vehicles","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2973003723","doi":"https://doi.org/10.23919/acc.2019.8814322","mag":"2973003723"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2019.8814322","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2019.8814322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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/A5054872846","display_name":"Heejin Ahn","orcid":"https://orcid.org/0000-0001-9153-3491"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heejin Ahn","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072891938","display_name":"Claus Danielson","orcid":"https://orcid.org/0000-0002-2317-3014"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Claus Danielson","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12724355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1464","last_page":"1469"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9987000226974487,"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":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7231642007827759},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6587633490562439},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6458226442337036},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.517479658126831},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5167738199234009},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.47124677896499634},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.42390841245651245},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4202152490615845},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4188289940357208},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.33263489603996277},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18721410632133484},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1854126751422882},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15799283981323242},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1405220627784729},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13633224368095398},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0919664204120636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7231642007827759},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6587633490562439},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6458226442337036},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.517479658126831},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5167738199234009},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.47124677896499634},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.42390841245651245},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4202152490615845},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4188289940357208},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33263489603996277},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18721410632133484},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1854126751422882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15799283981323242},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1405220627784729},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13633224368095398},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0919664204120636},{"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/acc.2019.8814322","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2019.8814322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1542938076","https://openalex.org/W1803898544","https://openalex.org/W1994703549","https://openalex.org/W2045333994","https://openalex.org/W2048052859","https://openalex.org/W2100729440","https://openalex.org/W2118070982","https://openalex.org/W2169536654","https://openalex.org/W2213739823","https://openalex.org/W2735532146","https://openalex.org/W3139860299"],"related_works":["https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2778153218","https://openalex.org/W1531601525","https://openalex.org/W2535060393","https://openalex.org/W1827895227","https://openalex.org/W4297427155","https://openalex.org/W4285104409","https://openalex.org/W4210317843"],"abstract_inverted_index":{"Motivated":[0],"by":[1,104],"applications":[2],"of":[3,6,12,22,31,39,50,73,121,147],"the":[4,20,28,37,48,63,69,79,102,111,119,126,145,151,168],"Internet":[5],"Vehicles":[7],"where":[8],"a":[9,32,87,106,115],"large":[10],"amount":[11],"data":[13,54,124],"is":[14],"available":[15,75],"through":[16],"communication,":[17],"we":[18,46,77,113],"consider":[19],"problem":[21,49,92,103],"reducing":[23],"communication":[24,80,132,164],"costs":[25,165],"when":[26],"estimating":[27],"dynamical":[29],"state":[30],"system.":[33],"More":[34],"specifically,":[35],"assuming":[36],"knowledge":[38],"sensor":[40,90,123],"specifications,":[41],"such":[42,171],"as":[43,172],"noise":[44],"characteristics,":[45],"solve":[47],"determining":[51],"which":[52],"sensor's":[53],"are":[55],"necessary":[56,70],"to":[57,101,125,130],"satisfy":[58],"given":[59],"time-varying":[60],"constraints":[61,127],"on":[62,138],"estimation":[64],"errors.":[65],"By":[66],"receiving":[67],"only":[68],"data,":[71,76],"instead":[72],"all":[74],"reduce":[78],"and":[81,93,143],"processing":[82],"bandwidth":[83],"usage.":[84],"We":[85,134],"formulate":[86],"moving":[88],"horizon":[89],"selection":[91],"present":[94],"an":[95],"approximate,":[96],"yet":[97],"computationally":[98],"tractable,":[99],"solution":[100,137],"employing":[105],"greedy":[107],"heuristic":[108],"approach.":[109],"For":[110],"heuristic,":[112],"define":[114],"metric":[116],"that":[117,159],"measures":[118],"contribution":[120],"each":[122],"in":[128],"relation":[129],"its":[131],"cost.":[133],"validate":[135],"our":[136,148,160],"two":[139],"collision":[140],"avoidance":[141],"examples":[142],"compare":[144],"performances":[146],"approach":[149,161],"with":[150,175],"conventional":[152],"Kalman":[153],"filter.":[154],"The":[155],"simulation":[156],"results":[157],"show":[158],"significantly":[162],"reduces":[163],"without":[166],"compromising":[167],"system's":[169],"performance,":[170],"safety":[173],"guarantee,":[174],"high":[176],"probability.":[177]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
