{"id":"https://openalex.org/W2517949811","doi":"https://doi.org/10.1109/isit.2016.7541743","title":"Improved active sensing performance in wireless sensor networks via channel state information","display_name":"Improved active sensing performance in wireless sensor networks via channel state information","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2517949811","doi":"https://doi.org/10.1109/isit.2016.7541743","mag":"2517949811"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2016.7541743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","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/A5019350740","display_name":"Alessandro Biason","orcid":"https://orcid.org/0000-0002-8747-9979"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Alessandro Biason","raw_affiliation_strings":["Department of Information Engineering, University of Padova - via Gradenigo 6b, 35131, Italy","Department of Information Engineering, University of Padova, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova - via Gradenigo 6b, 35131, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072739163","display_name":"Urbashi Mitra","orcid":"https://orcid.org/0000-0002-8896-1177"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Urbashi Mitra","raw_affiliation_strings":["Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005894115","display_name":"Michele Zorzi","orcid":"https://orcid.org/0000-0003-2870-4678"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Zorzi","raw_affiliation_strings":["Department of Information Engineering, University of Padova - via Gradenigo 6b, 35131, Italy","Department of Information Engineering, University of Padova, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova - via Gradenigo 6b, 35131, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019350740"],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":0.3037,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65162552,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2469","last_page":"2473"},"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":0.9986000061035156,"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":0.9986000061035156,"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":0.9980000257492065,"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":0.9973000288009644,"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":0.7574484944343567},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6955955624580383},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6613432168960571},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.571985125541687},{"id":"https://openalex.org/keywords/partially-observable-markov-decision-process","display_name":"Partially observable Markov decision process","score":0.5669131875038147},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5612223148345947},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5547389984130859},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5398814678192139},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.514600396156311},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.5084682703018188},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5054283142089844},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.4572784900665283},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43147096037864685},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4106642007827759},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3803873360157013},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3651822805404663},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.2872069478034973},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.28655165433883667},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.25055158138275146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18310272693634033},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17592817544937134},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15802940726280212},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15139049291610718}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7574484944343567},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6955955624580383},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6613432168960571},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.571985125541687},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.5669131875038147},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5612223148345947},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5547389984130859},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5398814678192139},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.514600396156311},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.5084682703018188},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5054283142089844},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.4572784900665283},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43147096037864685},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4106642007827759},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3803873360157013},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3651822805404663},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.2872069478034973},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.28655165433883667},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.25055158138275146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18310272693634033},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17592817544937134},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15802940726280212},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15139049291610718},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isit.2016.7541743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:www.research.unipd.it:11577/3262291","is_oa":false,"landing_page_url":"http://hdl.handle.net/11577/3262291","pdf_url":null,"source":{"id":"https://openalex.org/S4377196283","display_name":"Research Padua  Archive (University of Padua)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1509924109","https://openalex.org/W1970453372","https://openalex.org/W1972039427","https://openalex.org/W2013996424","https://openalex.org/W2034725503","https://openalex.org/W2044223409","https://openalex.org/W2052113935","https://openalex.org/W2055921164","https://openalex.org/W2073221271","https://openalex.org/W2098432798","https://openalex.org/W2113118558","https://openalex.org/W2119567691","https://openalex.org/W2119940423","https://openalex.org/W2120874557","https://openalex.org/W2149476049","https://openalex.org/W2156256141","https://openalex.org/W2256392768","https://openalex.org/W2571049156","https://openalex.org/W4233840023","https://openalex.org/W4300818658","https://openalex.org/W6692153693"],"related_works":["https://openalex.org/W2096013579","https://openalex.org/W1589140671","https://openalex.org/W1760611253","https://openalex.org/W52153049","https://openalex.org/W2951545791","https://openalex.org/W1515117609","https://openalex.org/W2294884454","https://openalex.org/W4323315247","https://openalex.org/W3169161914","https://openalex.org/W3208638985"],"abstract_inverted_index":{"Active":[0],"sensing":[1],"refers":[2],"to":[3,16,57,106],"the":[4,32,41,45,49,52,60,98,101,108,114],"process":[5],"of":[6,12,35,51,100,116],"choosing":[7],"or":[8],"tuning":[9],"a":[10,28,91],"set":[11,82],"sensors":[13],"in":[14,21],"order":[15],"track":[17],"an":[18,22],"underlying":[19],"system":[20,53,87],"efficient":[23],"and":[24,63,74,84,97],"accurate":[25],"way.":[26],"In":[27],"wireless":[29],"environment,":[30],"among":[31],"several":[33],"kinds":[34],"features":[36],"extracted":[37],"by":[38,44],"traditional":[39],"sensors,":[40],"information":[42],"carried":[43],"communication":[46,75],"channel":[47,76],"about":[48],"state":[50],"can":[54],"be":[55],"used":[56,105],"further":[58],"boost":[59],"tracking":[61,68,79],"performance":[62],"save":[64],"energy.":[65],"A":[66],"joint":[67],"problem":[69,96,109],"which":[70],"considers":[71],"sensor":[72],"measurements":[73],"together":[77],"for":[78],"purposes":[80],"is":[81,88],"up":[83],"solved.":[85],"The":[86],"modeled":[89],"as":[90],"partially":[92],"observable":[93],"Markov":[94],"decision":[95],"properties":[99],"cost-to-go":[102],"function":[103],"are":[104],"reduce":[107],"complexity.":[110],"Numerical":[111],"results":[112],"show":[113],"advantages":[115],"our":[117],"proposal.":[118]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-21T06:30:42.041108","created_date":"2025-10-10T00:00:00"}