{"id":"https://openalex.org/W4321064239","doi":"https://doi.org/10.1109/wcsp55476.2022.10039418","title":"Deep Learning Based Localization Scheme for UAV Aided Wireless Sensor Networks","display_name":"Deep Learning Based Localization Scheme for UAV Aided Wireless Sensor Networks","publication_year":2022,"publication_date":"2022-11-01","ids":{"openalex":"https://openalex.org/W4321064239","doi":"https://doi.org/10.1109/wcsp55476.2022.10039418"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp55476.2022.10039418","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wcsp55476.2022.10039418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5008578023","display_name":"Hanjun Zhang","orcid":"https://orcid.org/0009-0005-8259-1522"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hanjun Zhang","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101527302","display_name":"Feng Yan","orcid":"https://orcid.org/0000-0002-8387-1754"},"institutions":[{"id":"https://openalex.org/I4210140031","display_name":"Science and Technology on Surface Physics and Chemistry Laboratory","ror":"https://ror.org/0543q7s13","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210140031"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Yan","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096","Science and Technology on Near-Surface Detection Laboratory, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Science and Technology on Near-Surface Detection Laboratory, Wuxi, China","institution_ids":["https://openalex.org/I4210140031"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348617","display_name":"Hao Li","orcid":"https://orcid.org/0000-0002-6294-6761"},"institutions":[{"id":"https://openalex.org/I4210140031","display_name":"Science and Technology on Surface Physics and Chemistry Laboratory","ror":"https://ror.org/0543q7s13","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210140031"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Li","raw_affiliation_strings":["Science and Technology on Near-Surface Detection Laboratory,Wuxi,China,214035"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Near-Surface Detection Laboratory,Wuxi,China,214035","institution_ids":["https://openalex.org/I4210140031"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061541632","display_name":"Kai Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Ding","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064794016","display_name":"Tao Wu","orcid":"https://orcid.org/0000-0003-1751-3040"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Wu","raw_affiliation_strings":["Jiangsu ZhongLi Electronic Information Sci-Tech Co., Ltd,Changshu,China,215542"],"affiliations":[{"raw_affiliation_string":"Jiangsu ZhongLi Electronic Information Sci-Tech Co., Ltd,Changshu,China,215542","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101962019","display_name":"Weiwei Xia","orcid":"https://orcid.org/0000-0001-6069-5375"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Xia","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101610535","display_name":"Lianfeng Shen","orcid":"https://orcid.org/0000-0002-7250-3462"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianfeng Shen","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5008578023"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0915,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43010715,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/ranging","display_name":"Ranging","score":0.8922508955001831},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7613016366958618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.716018557548523},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.7148918509483337},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.571567177772522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5428604483604431},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.47951701283454895},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4635889232158661},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4509326219558716},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4134059250354767},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.374711811542511},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14252418279647827},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1072811484336853},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06576123833656311}],"concepts":[{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.8922508955001831},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7613016366958618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.716018557548523},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.7148918509483337},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.571567177772522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5428604483604431},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.47951701283454895},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4635889232158661},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4509326219558716},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4134059250354767},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.374711811542511},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14252418279647827},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1072811484336853},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06576123833656311},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/wcsp55476.2022.10039418","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wcsp55476.2022.10039418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1520245840","https://openalex.org/W2104504081","https://openalex.org/W2112275383","https://openalex.org/W2581681698","https://openalex.org/W2786291234","https://openalex.org/W2899197563","https://openalex.org/W2960923518","https://openalex.org/W2971695963","https://openalex.org/W3009714507","https://openalex.org/W3024505919","https://openalex.org/W3119733576","https://openalex.org/W3125835030","https://openalex.org/W3169456387","https://openalex.org/W3202040511","https://openalex.org/W3213151972","https://openalex.org/W4200222286","https://openalex.org/W4205643885","https://openalex.org/W4285326347"],"related_works":["https://openalex.org/W4384112194","https://openalex.org/W2783354812","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W4390813131","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"In":[0,32,52],"this":[1],"paper,":[2],"a":[3,36,40,56,84,89],"deep":[4],"learning":[5],"based":[6],"localization":[7,54,57,81],"scheme":[8,23,82],"is":[9,62],"proposed":[10,80],"for":[11],"unmanned":[12],"aerial":[13],"vehicle":[14],"(UAV)":[15],"aided":[16],"wireless":[17],"sensor":[18,50],"networks":[19],"(WSN":[20],"s),":[21],"The":[22],"contains":[24],"two":[25],"components":[26],"which":[27],"are":[28],"ranging":[29,34,73],"and":[30,43,64],"localization.":[31],"the":[33,45,48,53,68,72,79],"component,":[35,55],"UAV":[37],"works":[38],"as":[39],"data":[41],"collector":[42],"calculates":[44],"distances":[46],"between":[47],"ground":[49],"nodes.":[51],"convolutional":[58],"neural":[59],"network":[60],"(CNN)":[61],"built":[63],"trained":[65],"to":[66],"estimate":[67],"nodes":[69],"coordinates":[70],"using":[71],"information.":[74],"Simulations":[75],"results":[76],"show":[77],"that":[78],"has":[83],"higher":[85],"accuracy":[86],"comparing":[87],"with":[88],"related":[90],"method.":[91]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}