{"id":"https://openalex.org/W3142388339","doi":"https://doi.org/10.23919/acc50511.2021.9482987","title":"An Efficient Adaptive Sampling Approach for Mobile Robotic Sensor Networks using Proximal ADMM","display_name":"An Efficient Adaptive Sampling Approach for Mobile Robotic Sensor Networks using Proximal ADMM","publication_year":2021,"publication_date":"2021-05-25","ids":{"openalex":"https://openalex.org/W3142388339","doi":"https://doi.org/10.23919/acc50511.2021.9482987","mag":"3142388339"},"language":"en","primary_location":{"id":"doi:10.23919/acc50511.2021.9482987","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc50511.2021.9482987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/A5065617320","display_name":"Viet-Anh Le","orcid":"https://orcid.org/0000-0002-9829-7150"},"institutions":[{"id":"https://openalex.org/I203172682","display_name":"Northern Arizona University","ror":"https://ror.org/0272j5188","country_code":"US","type":"education","lineage":["https://openalex.org/I203172682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Viet-Anh Le","raw_affiliation_strings":["School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA","institution_ids":["https://openalex.org/I203172682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051920398","display_name":"Linh Nguyen","orcid":"https://orcid.org/0000-0001-5360-886X"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Linh Nguyen","raw_affiliation_strings":["School of Engineering, Information Technology and Physical Sciences, Federation University Australia, Churchill, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Information Technology and Physical Sciences, Federation University Australia, Churchill, VIC, Australia","institution_ids":["https://openalex.org/I149672521"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021671983","display_name":"Truong X. Nghiem","orcid":"https://orcid.org/0000-0003-4841-3800"},"institutions":[{"id":"https://openalex.org/I203172682","display_name":"Northern Arizona University","ror":"https://ror.org/0272j5188","country_code":"US","type":"education","lineage":["https://openalex.org/I203172682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Truong X. Nghiem","raw_affiliation_strings":["School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA","institution_ids":["https://openalex.org/I203172682"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5448,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71008645,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1101","last_page":"1106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6364742517471313},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.6222089529037476},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.606372594833374},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6043645143508911},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5324540734291077},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.48337262868881226},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.42604944109916687},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4214446246623993},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4174034297466278},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.41089919209480286},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.33981478214263916},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26312094926834106},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11967676877975464},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.10208594799041748}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6364742517471313},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.6222089529037476},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.606372594833374},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6043645143508911},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5324540734291077},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.48337262868881226},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.42604944109916687},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4214446246623993},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4174034297466278},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.41089919209480286},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.33981478214263916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26312094926834106},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11967676877975464},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.10208594799041748},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/acc50511.2021.9482987","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc50511.2021.9482987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 American Control Conference (ACC)","raw_type":"proceedings-article"},{"id":"pmh:vital:15624","is_oa":false,"landing_page_url":"http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/179569","pdf_url":null,"source":{"id":"https://openalex.org/S4306400234","display_name":"FedUni ResearchOnline (Federation University Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210158496","host_organization_name":"Australian Federation of University Women \u2013 South Australia","host_organization_lineage":["https://openalex.org/I4210158496"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1746819321","https://openalex.org/W1971905111","https://openalex.org/W1979211426","https://openalex.org/W1988819790","https://openalex.org/W1998406909","https://openalex.org/W2021088595","https://openalex.org/W2025333932","https://openalex.org/W2098642746","https://openalex.org/W2117427846","https://openalex.org/W2123871098","https://openalex.org/W2164278908","https://openalex.org/W2208102648","https://openalex.org/W2295652899","https://openalex.org/W2559249882","https://openalex.org/W2810174258","https://openalex.org/W2980725519","https://openalex.org/W4211049957","https://openalex.org/W6647375187"],"related_works":["https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2101751501","https://openalex.org/W4226172753","https://openalex.org/W4386363027"],"abstract_inverted_index":{"Adaptive":[0],"sampling":[1,44,113],"in":[2,75,116,139],"a":[3,11,15,23,30,56,62,76,87,100,117,123,133],"resource-constrained":[4],"mobile":[5],"robotic":[6],"sensor":[7],"network":[8],"for":[9],"monitoring":[10],"spatial":[12,31],"phenomenon":[13],"is":[14,26,61,72,82],"fundamental":[16],"but":[17],"challenging":[18],"problem.":[19],"In":[20],"applications":[21],"where":[22],"Gaussian":[24],"Process":[25],"employed":[27],"to":[28,35,109],"model":[29,142],"field":[32,38],"and":[33,64,85],"then":[34],"predict":[36],"the":[37,42,51,111,128,140],"at":[39],"unobserved":[40],"locations,":[41],"adaptive":[43,112],"problem":[45,71,115],"can":[46,90],"be":[47,91],"formulated":[48],"as":[49],"minimizing":[50],"negative":[52],"log":[53],"determinant":[54],"of":[55,105],"predicted":[57],"covariance":[58],"matrix,":[59],"which":[60],"non-convex":[63],"highly":[65],"complex":[66],"function.":[67],"Consequently,":[68],"this":[69,95],"optimization":[70,114],"typically":[73],"addressed":[74],"grid-based":[77,136],"discrete":[78],"domain,":[79],"although":[80],"it":[81],"combinatorial":[83],"NP-hard":[84],"only":[86],"near-optimal":[88],"solution":[89],"obtained.":[92],"To":[93],"overcome":[94],"challenge,":[96],"we":[97],"propose":[98],"using":[99,122],"proximal":[101],"alternating":[102],"direction":[103],"method":[104,131,138],"multipliers":[106],"(Px-ADMM)":[107],"technique":[108],"solve":[110],"continuous":[118],"domain.":[119],"Numerical":[120],"simulations":[121],"real-world":[124],"dataset":[125],"demonstrate":[126],"that":[127],"proposed":[129],"PxADMM-based":[130],"outperforms":[132],"commonly":[134],"used":[135],"greedy":[137],"final":[141],"accuracy.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}