{"id":"https://openalex.org/W2062207899","doi":"https://doi.org/10.1109/wmnc.2013.6548992","title":"A collaborative target tracking framework using particle filter","display_name":"A collaborative target tracking framework using particle filter","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2062207899","doi":"https://doi.org/10.1109/wmnc.2013.6548992","mag":"2062207899"},"language":"en","primary_location":{"id":"doi:10.1109/wmnc.2013.6548992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wmnc.2013.6548992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th Joint IFIP Wireless and Mobile Networking Conference (WMNC)","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/A5030146152","display_name":"B. Kalpana","orcid":"https://orcid.org/0009-0002-7967-7892"},"institutions":[{"id":"https://openalex.org/I161045824","display_name":"Avinashilingam University","ror":"https://ror.org/05dxzqa20","country_code":"IN","type":"education","lineage":["https://openalex.org/I161045824"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B. Kalpana","raw_affiliation_strings":["Department of Computer Science, Avinashilingam University for Women, Coimbatore, India","Dept. of Comput. Sci., Avinashilingam Univ. for Women, Coimbatore, , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Avinashilingam University for Women, Coimbatore, India","institution_ids":["https://openalex.org/I161045824"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Avinashilingam Univ. for Women, Coimbatore, , India","institution_ids":["https://openalex.org/I161045824"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101562736","display_name":"R. Sangeetha","orcid":null},"institutions":[{"id":"https://openalex.org/I161045824","display_name":"Avinashilingam University","ror":"https://ror.org/05dxzqa20","country_code":"IN","type":"education","lineage":["https://openalex.org/I161045824"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Sangeetha","raw_affiliation_strings":["Department of Computer Science, Avinashilingam University for Women, Coimbatore, India","Dept. of Comput. Sci., Avinashilingam Univ. for Women, Coimbatore, , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Avinashilingam University for Women, Coimbatore, India","institution_ids":["https://openalex.org/I161045824"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Avinashilingam Univ. for Women, Coimbatore, , India","institution_ids":["https://openalex.org/I161045824"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161045824"],"apc_list":null,"apc_paid":null,"fwci":0.9152,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74957629,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"14","issue":null,"first_page":"1","last_page":"4"},"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":0.9986000061035156,"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":0.9473000168800354,"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/particle-filter","display_name":"Particle filter","score":0.7743110060691833},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7386007308959961},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7362676858901978},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6650932431221008},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5712649822235107},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5117309093475342},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.4983975887298584},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.482723206281662},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.44519221782684326},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4393397569656372},{"id":"https://openalex.org/keywords/tracking-error","display_name":"Tracking error","score":0.42955440282821655},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4288184344768524},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4270816743373871},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4117193818092346},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3748682737350464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36988306045532227},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.2738696038722992},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.23149612545967102},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14700445532798767},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14177632331848145},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13736411929130554},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09176194667816162},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.08910971879959106}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7743110060691833},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7386007308959961},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7362676858901978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6650932431221008},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5712649822235107},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5117309093475342},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.4983975887298584},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.482723206281662},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.44519221782684326},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4393397569656372},{"id":"https://openalex.org/C183356978","wikidata":"https://www.wikidata.org/wiki/Q1779213","display_name":"Tracking error","level":3,"score":0.42955440282821655},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4288184344768524},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4270816743373871},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4117193818092346},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3748682737350464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36988306045532227},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.2738696038722992},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.23149612545967102},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14700445532798767},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14177632331848145},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13736411929130554},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09176194667816162},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.08910971879959106},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wmnc.2013.6548992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wmnc.2013.6548992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th Joint IFIP Wireless and Mobile Networking Conference (WMNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1531532259","https://openalex.org/W1534567030","https://openalex.org/W1559536185","https://openalex.org/W1591848543","https://openalex.org/W1646998587","https://openalex.org/W1979881945","https://openalex.org/W2006712871","https://openalex.org/W2018594574","https://openalex.org/W2040592380","https://openalex.org/W2105934661","https://openalex.org/W2141800316","https://openalex.org/W2152757467","https://openalex.org/W2153785047","https://openalex.org/W2293807537","https://openalex.org/W6631830910","https://openalex.org/W6635453634"],"related_works":["https://openalex.org/W2026490863","https://openalex.org/W3151342408","https://openalex.org/W1938087941","https://openalex.org/W1582120664","https://openalex.org/W191136024","https://openalex.org/W2389929639","https://openalex.org/W2940856907","https://openalex.org/W2354867839","https://openalex.org/W2462751745","https://openalex.org/W1568122762"],"abstract_inverted_index":{"Wireless":[0],"sensor":[1,27],"networks":[2,28],"and":[3,11,23,54,58,76,95,133],"communication":[4],"technologies":[5],"have":[6,12],"dramatically":[7],"revolutionized":[8],"our":[9],"lives":[10],"hitherto":[13],"spurred":[14],"a":[15,47,66,73,77],"host":[16],"of":[17,46,49,108],"applications":[18],"in":[19,56,115],"fields":[20],"like":[21,125],"surveillance":[22],"target":[24,38,68,84],"tracking.":[25,85],"Collaborative":[26],"largely":[29],"depend":[30],"on":[31],"statistical":[32],"estimation":[33,57],"theory":[34],"to":[35,90,110],"estimate":[36],"the":[37,44,92,97,101,104,116],"trajectory.":[39],"Recent":[40],"research":[41],"has":[42],"reported":[43],"use":[45],"variety":[48],"filters":[50],"-":[51],"both":[52],"linear":[53],"nonlinear":[55],"tracking":[59,69,126,128],"problems.":[60],"In":[61],"this":[62],"paper":[63],"we":[64],"propose":[65],"collaborative":[67],"framework":[70],"which":[71],"uses":[72],"particle":[74],"filter":[75],"Mutual":[78],"Information":[79],"Sensor":[80],"Selection":[81],"Algorithm":[82],"for":[83],"The":[86,119],"major":[87],"objective":[88],"is":[89,121],"prolong":[91],"network":[93],"lifetime":[94],"reduce":[96],"energy":[98],"expended":[99],"by":[100],"sensors":[102,109],"using":[103,123],"most":[105],"informative":[106],"subset":[107],"provide":[111],"non":[112],"redundant":[113],"data":[114],"fusion":[117],"process.":[118],"performance":[120],"evaluated":[122],"metrics":[124],"energy,":[127],"quality,":[129],"mean":[130,135],"squared":[131,136],"error":[132],"root":[134],"error.":[137]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
