{"id":"https://openalex.org/W1526995183","doi":"https://doi.org/10.1109/icassp.2015.7178728","title":"Sensor selection with correlated measurements for target tracking in wireless sensor networks","display_name":"Sensor selection with correlated measurements for target tracking in wireless sensor networks","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1526995183","doi":"https://doi.org/10.1109/icassp.2015.7178728","mag":"1526995183"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2015.7178728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100321843","display_name":"Sijia Liu","orcid":"https://orcid.org/0000-0003-2817-6991"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sijia Liu","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031876366","display_name":"Engin Ma\u015fazade","orcid":"https://orcid.org/0000-0002-1871-2378"},"institutions":[{"id":"https://openalex.org/I100072489","display_name":"Yeditepe University","ror":"https://ror.org/025mx2575","country_code":"TR","type":"education","lineage":["https://openalex.org/I100072489"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Engin Masazade","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Yeditepe University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Yeditepe University, Istanbul, Turkey","institution_ids":["https://openalex.org/I100072489"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057639149","display_name":"Makan Fardad","orcid":"https://orcid.org/0000-0003-4643-0535"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Makan Fardad","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018292481","display_name":"Pramod K. Varshney","orcid":"https://orcid.org/0000-0003-4504-5088"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pramod K. Varshney","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5884,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.8209654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4030","last_page":"4034"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9991000294685364,"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/T11236","display_name":"Control Systems and Identification","score":0.9822999835014343,"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/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7423662543296814},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5664132237434387},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5609468221664429},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5320025086402893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4788510799407959},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.46636661887168884},{"id":"https://openalex.org/keywords/fisher-information","display_name":"Fisher information","score":0.4334251880645752},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3750097155570984},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35629379749298096},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.23737043142318726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14244800806045532},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09779688715934753}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7423662543296814},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5664132237434387},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5609468221664429},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5320025086402893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4788510799407959},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.46636661887168884},{"id":"https://openalex.org/C29406490","wikidata":"https://www.wikidata.org/wiki/Q1420659","display_name":"Fisher information","level":2,"score":0.4334251880645752},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3750097155570984},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35629379749298096},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.23737043142318726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14244800806045532},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09779688715934753},{"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/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/icassp.2015.7178728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1971835972","https://openalex.org/W1984197955","https://openalex.org/W1996363234","https://openalex.org/W2000156923","https://openalex.org/W2023054591","https://openalex.org/W2027527884","https://openalex.org/W2032445082","https://openalex.org/W2034663708","https://openalex.org/W2048881327","https://openalex.org/W2055512238","https://openalex.org/W2065070128","https://openalex.org/W2073233149","https://openalex.org/W2084771065","https://openalex.org/W2085637792","https://openalex.org/W2104130465","https://openalex.org/W2107118790","https://openalex.org/W2126076156","https://openalex.org/W2141829687","https://openalex.org/W2162488823","https://openalex.org/W2169207653","https://openalex.org/W2265472524","https://openalex.org/W2963005128"],"related_works":["https://openalex.org/W2756132392","https://openalex.org/W3035814349","https://openalex.org/W4285101096","https://openalex.org/W4382725876","https://openalex.org/W2084892497","https://openalex.org/W2115614142","https://openalex.org/W4320477335","https://openalex.org/W1561889708","https://openalex.org/W2275184629","https://openalex.org/W2138044000"],"abstract_inverted_index":{"We":[0,86],"study":[1],"the":[2,18,25,33,42,64,71,74,89,98],"problem":[3,31,93,99,112],"of":[4,44,73,100],"adaptive":[5],"sensor":[6,48,68,91,133],"management":[7],"for":[8,17,67],"target":[9],"tracking,":[10],"where":[11,70],"at":[12,24],"every":[13],"instant":[14],"we":[15,53,119],"search":[16],"best":[19],"sensors":[20],"to":[21,82,129],"be":[22,36,95],"activated":[23],"next":[26],"time":[27],"step.":[28],"In":[29],"our":[30],"formulation,":[32],"measurements":[34,46],"may":[35],"corrupted":[37],"by":[38],"correlated":[39,45],"noises,":[40],"and":[41,117,124],"impact":[43],"on":[47],"selection":[49,92],"is":[50,79,113],"studied.":[51],"Specifically,":[52],"adopt":[54],"an":[55,83],"alternative":[56],"conditional":[57,75],"posterior":[58],"Cram\u00e9r-Rao":[59],"lower":[60],"bound":[61],"(C-PCRLB)":[62],"as":[63],"optimization":[65,111],"criterion":[66],"selection,":[69],"trace":[72],"Fisher":[76],"information":[77],"matrix":[78],"maximized":[80],"subject":[81],"energy":[84],"constraint.":[85],"demonstrate":[87],"that":[88],"proposed":[90],"can":[94],"transformed":[96],"into":[97],"maximizing":[101],"a":[102,107,121,125,136],"convex":[103],"quadratic":[104],"function":[105],"over":[106],"bounded":[108],"polyhedron.":[109],"This":[110],"NP-hard":[114],"in":[115,135],"nature,":[116],"thus":[118],"employ":[120],"linearization":[122],"method":[123],"bilinear":[126],"programming":[127],"approach":[128],"obtain":[130],"locally":[131],"optimal":[132],"schedules":[134],"computationally":[137],"efficient":[138],"manner.":[139]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}