{"id":"https://openalex.org/W2915315323","doi":"https://doi.org/10.1109/glocom.2018.8648074","title":"Dynamic Compressive Data Acquisition in Vehicular Sensor Network","display_name":"Dynamic Compressive Data Acquisition in Vehicular Sensor Network","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2915315323","doi":"https://doi.org/10.1109/glocom.2018.8648074","mag":"2915315323"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2018.8648074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2018.8648074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Communications Conference (GLOBECOM)","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/A5101995227","display_name":"Zhiqing Huang","orcid":"https://orcid.org/0009-0003-9337-385X"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqing Huang","raw_affiliation_strings":["Beijing Engineering Research Center for IoT Software and System, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center for IoT Software and System, Beijing, China","institution_ids":["https://openalex.org/I4210128818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070159436","display_name":"Mengjia Li","orcid":"https://orcid.org/0000-0002-0336-5166"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengjia Li","raw_affiliation_strings":["Beijing Engineering Research Center for IoT Software and System, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center for IoT Software and System, Beijing, China","institution_ids":["https://openalex.org/I4210128818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075002150","display_name":"Rui Tian","orcid":"https://orcid.org/0000-0002-8944-1966"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Tian","raw_affiliation_strings":["Beijing Engineering Research Center for IoT Software and System, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center for IoT Software and System, Beijing, China","institution_ids":["https://openalex.org/I4210128818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101621515","display_name":"Yanxin Zhang","orcid":"https://orcid.org/0000-0002-1767-7371"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanxin Zhang","raw_affiliation_strings":["Advanced Control Systems Laboratory, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Control Systems Laboratory, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100432936","display_name":"Weidong Wang","orcid":"https://orcid.org/0000-0002-7378-2766"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Wang","raw_affiliation_strings":["Beijing Engineering Research Center for IoT Software and System, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center for IoT Software and System, Beijing, China","institution_ids":["https://openalex.org/I4210128818"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3791,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67533127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":0.9983000159263611,"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":0.9983000159263611,"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/T11932","display_name":"Wireless Body Area Networks","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9980000257492065,"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/compressed-sensing","display_name":"Compressed sensing","score":0.8302785158157349},{"id":"https://openalex.org/keywords/data-acquisition","display_name":"Data acquisition","score":0.7737067937850952},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6228471994400024},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5639373660087585},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5524767637252808},{"id":"https://openalex.org/keywords/dynamic-data","display_name":"Dynamic data","score":0.5271843671798706},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5152028203010559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14316731691360474},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08597475290298462}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8302785158157349},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.7737067937850952},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6228471994400024},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5639373660087585},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5524767637252808},{"id":"https://openalex.org/C197298091","wikidata":"https://www.wikidata.org/wiki/Q5318963","display_name":"Dynamic data","level":2,"score":0.5271843671798706},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5152028203010559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14316731691360474},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08597475290298462},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2018.8648074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2018.8648074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Communications Conference (GLOBECOM)","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":15,"referenced_works":["https://openalex.org/W1983627920","https://openalex.org/W1997754457","https://openalex.org/W2035299451","https://openalex.org/W2045487859","https://openalex.org/W2063056388","https://openalex.org/W2073245107","https://openalex.org/W2082183570","https://openalex.org/W2106229734","https://openalex.org/W2161486828","https://openalex.org/W2170918595","https://openalex.org/W2293146328","https://openalex.org/W2516423449","https://openalex.org/W2761757319","https://openalex.org/W2780266666","https://openalex.org/W2963283362"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2810730439","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W2465351041","https://openalex.org/W2386982864"],"abstract_inverted_index":{"Compressive":[0],"Sensing":[1],"(CS)":[2],"is":[3,76,109,146],"a":[4,85,104,130,139],"promising":[5],"approach":[6,172],"to":[7,13,48,132],"compress":[8],"data":[9,40,60,67,72,87,98,140,157],"with":[10,168],"spatial-temporal":[11],"correlation":[12],"reduce":[14],"the":[15,24,28,53,56,95,114,123,134,153,162,169,174],"communication":[16],"cost":[17],"in":[18,32,39,61,74,78,159,173],"Vehicular":[19],"Sensor":[20],"Network":[21],"(VSN).":[22],"However,":[23],"current":[25],"research":[26],"on":[27,91,144],"application":[29],"of":[30,58,97,116,118,125,136],"CS":[31,171],"VSN":[33,75,86,160],"does":[34],"not":[35],"consider":[36],"dynamic":[37,70,155],"changes":[38],"sparsity":[41,99],"and":[42,100,138],"vehicle":[43,101],"distribution,":[44],"which":[45],"may":[46],"lead":[47],"unacceptable":[49],"reconstruction":[50,119,163],"accuracy.":[51],"At":[52],"same":[54],"time,":[55],"loss":[57,124],"compressed":[59],"transmission":[62,141],"process":[63],"also":[64],"seriously":[65],"affects":[66],"reconstruction.":[68],"A":[69],"compressive":[71,156],"acquisition":[73,88,158],"proposed":[77,154],"this":[79,127],"paper.":[80],"This":[81],"paper":[82,128],"first":[83],"proposes":[84],"framework":[89],"based":[90,143],"CS.":[92],"Then,":[93],"for":[94],"problem":[96,115],"distribution":[102],"changes,":[103],"measurement":[105],"rate":[106],"adjustment":[107],"method":[108,131],"proposed.":[110],"Finally,":[111],"aiming":[112],"at":[113],"degradation":[117],"accuracy":[120,164],"caused":[121],"by":[122,165],"measurements,":[126],"presents":[129],"determine":[133],"priority":[135,145],"measurement,":[137],"strategy":[142],"put":[147],"forward.":[148],"The":[149],"experiment":[150],"shows":[151],"that":[152],"improves":[161],"18.4%":[166],"compared":[167],"fixed":[170],"VSN.":[175]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}