{"id":"https://openalex.org/W2056142743","doi":"https://doi.org/10.1109/icc.2010.5502161","title":"Decentralized-Detection Based Mobile Multi-Target Tracking in Wireless Sensor Networks","display_name":"Decentralized-Detection Based Mobile Multi-Target Tracking in Wireless Sensor Networks","publication_year":2010,"publication_date":"2010-05-01","ids":{"openalex":"https://openalex.org/W2056142743","doi":"https://doi.org/10.1109/icc.2010.5502161","mag":"2056142743"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2010.5502161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2010.5502161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Communications","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/A5075037129","display_name":"Jinquan Wei","orcid":"https://orcid.org/0000-0002-5827-2231"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Wei","raw_affiliation_strings":["Networking and Information Systems Laboratory, Department of Electrical and Computer Engineering, Texas A and M University, College Station, TX, USA","Dept. of Electr. & Comput. Eng, Texas A&M Univ., College Station, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Networking and Information Systems Laboratory, Department of Electrical and Computer Engineering, Texas A and M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng, Texas A&M Univ., College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053851217","display_name":"X. Zhang","orcid":"https://orcid.org/0009-0000-9054-3049"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"X. Zhang","raw_affiliation_strings":["Networking and Information Systems Laboratory, Department of Electrical and Computer Engineering, Texas A and M University, College Station, TX, USA","Dept. of Electr. & Comput. Eng, Texas A&M Univ., College Station, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Networking and Information Systems Laboratory, Department of Electrical and Computer Engineering, Texas A and M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng, Texas A&M Univ., College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"41","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9997000098228455,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9997000098228455,"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":0.9997000098228455,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9678000211715698,"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/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7526078820228577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7412712574005127},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6545316576957703},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5373780727386475},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5217324495315552},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4768415689468384},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.44878342747688293},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44491779804229736},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4375014901161194},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4237416386604309},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32140761613845825},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18361619114875793},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11774784326553345},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10540413856506348}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7526078820228577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7412712574005127},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6545316576957703},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5373780727386475},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5217324495315552},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4768415689468384},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.44878342747688293},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44491779804229736},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4375014901161194},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4237416386604309},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32140761613845825},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18361619114875793},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11774784326553345},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10540413856506348},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2010.5502161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2010.5502161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W158286329","https://openalex.org/W2029437654","https://openalex.org/W2102931639","https://openalex.org/W2155325587","https://openalex.org/W2161435744","https://openalex.org/W6683781877"],"related_works":["https://openalex.org/W2084086966","https://openalex.org/W1975451135","https://openalex.org/W2023861399","https://openalex.org/W2890570089","https://openalex.org/W2730915376","https://openalex.org/W2989915292","https://openalex.org/W2295628284","https://openalex.org/W3148968234","https://openalex.org/W145760256","https://openalex.org/W2028086369"],"abstract_inverted_index":{"Due":[0],"to":[1,88],"the":[2,9,42,48,51,57,63,70,80,90,94,97],"communications":[3],"and":[4,31,37,106,114],"energy":[5],"constraints,":[6],"we":[7],"propose":[8],"decentralized-detection":[10,110],"based":[11],"schemes":[12],"for":[13,84,93],"Mobile":[14],"Multi-Target":[15],"Tracking":[16],"(MMTT)":[17],"in":[18,46,56,78],"Wireless":[19],"Sensor":[20],"Networks":[21],"(WSN).":[22],"Our":[23],"developed":[24,116],"WSN":[25,113],"consists":[26],"of":[27,34,50,96,112],"a":[28,32],"symmetric-tree":[29],"structure":[30,111],"set":[33],"target":[35,117],"detection":[36],"estimation":[38],"strategies,":[39],"which":[40],"achieve":[41],"optimal":[43,82],"error-exponent":[44],"decay":[45],"detecting":[47],"number":[49],"tracked":[52,98],"targets.":[53,99],"The":[54,100],"increase":[55],"target-number":[58],"estimate":[59,66],"accuracy":[60,92],"also":[61],"yields":[62],"high":[64],"target-position":[65],"accuracy.":[67],"We":[68],"apply":[69],"Decentralized":[71],"Probability":[72],"Hypothesis":[73],"Density":[74],"(DPHD)":[75],"filtering":[76],"algorithm":[77],"deriving":[79],"global":[81],"threshold-levels":[83],"our":[85,108,115],"proposed":[86,109],"strategies":[87],"maximize":[89],"estimating":[91],"positions":[95],"obtained":[101],"extensive":[102],"evaluation":[103],"analyses":[104],"validate":[105],"evaluate":[107],"tracking":[118],"strategies.":[119]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
