{"id":"https://openalex.org/W2140512841","doi":"https://doi.org/10.1109/ccnc.2006.1593142","title":"Parallel genetic algorithm based optimal fusion in sensor networks","display_name":"Parallel genetic algorithm based optimal fusion in sensor networks","publication_year":2006,"publication_date":"2006-02-15","ids":{"openalex":"https://openalex.org/W2140512841","doi":"https://doi.org/10.1109/ccnc.2006.1593142","mag":"2140512841"},"language":"en","primary_location":{"id":"doi:10.1109/ccnc.2006.1593142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc.2006.1593142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CCNC 2006. 2006 3rd IEEE Consumer Communications and Networking Conference, 2006.","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/A5000513365","display_name":"Nithya Gnanapandithan","orcid":null},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"N. Gnanapandithan","raw_affiliation_strings":["WiCom Lab, Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA"],"affiliations":[{"raw_affiliation_string":"WiCom Lab, Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA","institution_ids":["https://openalex.org/I189590672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003778401","display_name":"Balasubramaniam Natarajan","orcid":"https://orcid.org/0000-0001-6429-9003"},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B. Natarajan","raw_affiliation_strings":["WiCom Lab, Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA"],"affiliations":[{"raw_affiliation_string":"WiCom Lab, Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA","institution_ids":["https://openalex.org/I189590672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000513365"],"corresponding_institution_ids":["https://openalex.org/I189590672"],"apc_list":null,"apc_paid":null,"fwci":0.9053,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78601276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"763","last_page":"767"},"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":1.0,"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":1.0,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9873999953269958,"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/computer-science","display_name":"Computer science","score":0.6905360221862793},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.532696008682251},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5106406807899475},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.504501461982727},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.421995609998703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27571535110473633},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1410219669342041}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6905360221862793},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.532696008682251},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5106406807899475},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.504501461982727},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.421995609998703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27571535110473633},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1410219669342041},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccnc.2006.1593142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc.2006.1593142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CCNC 2006. 2006 3rd IEEE Consumer Communications and Networking Conference, 2006.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1497256448","https://openalex.org/W1525038591","https://openalex.org/W1578953027","https://openalex.org/W2102931639","https://openalex.org/W2104478296","https://openalex.org/W2106171298","https://openalex.org/W2107739198","https://openalex.org/W2121154010","https://openalex.org/W2133380705","https://openalex.org/W2146364557","https://openalex.org/W4247521163"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039","https://openalex.org/W2726747157","https://openalex.org/W2004817612","https://openalex.org/W2010131506","https://openalex.org/W2145797872"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,16,63],"Parallel":[6,36],"Genetic":[7,37],"Algo-":[8],"rithm":[9],"(PGA)":[10],"for":[11,25],"optimizing":[12],"the":[13,26,29,42,46,82,98,108,111,114,118,121],"performance":[14],"of":[15,31,84,110,113,120],"parallel":[17],"decen-":[18],"tralized":[19],"sensor":[20],"network.":[21],"The":[22,35],"metric":[23],"used":[24],"optimization":[27],"is":[28],"probability":[30],"global":[32],"detection":[33],"error.":[34],"Algorithm":[38],"simultaneously":[39],"optimizes":[40],"both":[41,81,103],"fusion":[43],"rule":[44],"and":[45,65,74,87,91],"local":[47],"decision":[48],"rules.":[49],"We":[50,79,105],"show":[51],"that":[52,93],"our":[53,94],"approach":[54],"provides":[55],"results":[56],"comparable":[57],"to":[58,97],"those":[59],"obtained":[60],"by":[61,72],"using":[62],"GA":[64],"gradient-":[66],"based":[67],"algorithm":[68,95],"from":[69],"previous":[70],"work":[71],"Aldosari":[73],"Moura,":[75],"with":[76],"reduced":[77],"complexity.":[78],"consider":[80],"cases":[83],"identical":[85],"(homogeneous)":[86],"non-identical":[88],"(heterogeneous)":[89],"sensors":[90],"demonstrate":[92],"converges":[96],"same":[99],"optimal":[100],"solution":[101,116],"in":[102],"cases.":[104],"also":[106],"discuss":[107],"effect":[109],"quality":[112],"initial":[115],"on":[117],"convergence":[119],"PGA.":[122]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}