{"id":"https://openalex.org/W4210579612","doi":"https://doi.org/10.1109/globecom46510.2021.9685652","title":"Aerial Data Collection with Coordinated UAV and Truck Route Planning in Wireless Sensor Network","display_name":"Aerial Data Collection with Coordinated UAV and Truck Route Planning in Wireless Sensor Network","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4210579612","doi":"https://doi.org/10.1109/globecom46510.2021.9685652"},"language":"en","primary_location":{"id":"doi:10.1109/globecom46510.2021.9685652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685652","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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/A5018845447","display_name":"Yuchao Zhu","orcid":"https://orcid.org/0000-0001-8822-4882"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuchao Zhu","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University,Nanjing,China,210023"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University,Nanjing,China,210023","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100664829","display_name":"Shaowei Wang","orcid":"https://orcid.org/0000-0003-0143-556X"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaowei Wang","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University,Nanjing,China,210023"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University,Nanjing,China,210023","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018845447"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":4.1715,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.95772422,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"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/T11133","display_name":"UAV Applications and Optimization","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9998000264167786,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9952999949455261,"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/truck","display_name":"Truck","score":0.7719837427139282},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7442882657051086},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.6316542029380798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6066379547119141},{"id":"https://openalex.org/keywords/route-planning","display_name":"Route planning","score":0.5773836374282837},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5482207536697388},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4760425090789795},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.426298052072525},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2719758450984955},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.21352368593215942},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21310773491859436},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.1299886405467987}],"concepts":[{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.7719837427139282},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7442882657051086},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.6316542029380798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6066379547119141},{"id":"https://openalex.org/C2989549987","wikidata":"https://www.wikidata.org/wiki/Q350882","display_name":"Route planning","level":2,"score":0.5773836374282837},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5482207536697388},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4760425090789795},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.426298052072525},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2719758450984955},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.21352368593215942},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21310773491859436},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.1299886405467987},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom46510.2021.9685652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685652","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G7905982403","display_name":null,"funder_award_id":"61931023,U1936202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1498782169","https://openalex.org/W1935484935","https://openalex.org/W1988456768","https://openalex.org/W2031834036","https://openalex.org/W2042986967","https://openalex.org/W2047924997","https://openalex.org/W2085147795","https://openalex.org/W2132549513","https://openalex.org/W2139059344","https://openalex.org/W2168452204","https://openalex.org/W2176397960","https://openalex.org/W2380760348","https://openalex.org/W2740005962","https://openalex.org/W2925075011","https://openalex.org/W2963177943","https://openalex.org/W2966411667","https://openalex.org/W2973697444","https://openalex.org/W2979330546","https://openalex.org/W2996688681","https://openalex.org/W3010525242","https://openalex.org/W3031436417","https://openalex.org/W3090747274","https://openalex.org/W3176727369","https://openalex.org/W6741665676"],"related_works":["https://openalex.org/W1517019597","https://openalex.org/W4404544825","https://openalex.org/W1968776045","https://openalex.org/W2296713838","https://openalex.org/W767149399","https://openalex.org/W3036261569","https://openalex.org/W2889950528","https://openalex.org/W575062473","https://openalex.org/W4297672583","https://openalex.org/W2110485207"],"abstract_inverted_index":{"Unmanned":[0],"aerial":[1],"vehicle":[2],"(UAV)":[3],"is":[4,74,130],"a":[5,41,56,67,105,124,134],"promising":[6],"way":[7,107,151],"to":[8,46,75,95,108],"collect":[9],"data":[10,83,154],"generated":[11],"by":[12,133],"wireless":[13,157],"sensor":[14,87,158],"networks,":[15],"nevertheless,":[16],"the":[17,21,30,34,49,53,64,77,86,97,110,115,119,153],"battery":[18],"capacity":[19],"of":[20,52,112,114,156],"UAV":[22,65],"restricts":[23],"its":[24],"application":[25,162],"on":[26],"many":[27],"occasions,":[28],"e.g.,":[29],"network":[31],"deployed":[32],"in":[33,104,160],"wild.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39],"propose":[40],"coordinated":[42,125],"route":[43,136],"planning":[44,121,137],"scheme":[45,145],"deal":[47],"with":[48,63],"energy":[50],"issue":[51],"UAV,":[54,116],"where":[55],"truck":[57],"carrying":[58],"backup":[59],"batteries":[60],"moves":[61],"together":[62],"as":[66,123],"“mobile":[68],"recharging":[69],"station”.":[70],"Our":[71],"optimization":[72],"task":[73,122],"minimize":[76,109],"total":[78],"mission":[79,99],"time":[80],"for":[81,152],"collecting":[82],"from":[84],"all":[85],"nodes.":[88],"We":[89],"develop":[90],"an":[91,147],"efficient":[92],"clustering":[93],"algorithm":[94],"divide":[96],"entire":[98],"area":[100],"into":[101],"multiple":[102],"subregions":[103],"load-balanced":[106],"number":[111],"movements":[113],"and":[117,149],"formulate":[118],"trajectory":[120],"traveling":[126],"salesman":[127],"problem":[128],"which":[129],"heuristically":[131],"solved":[132],"three-step":[135],"algorithm.":[138],"Numerical":[139],"results":[140],"show":[141],"that":[142],"our":[143],"proposed":[144],"provides":[146],"effective":[148],"cost-efficient":[150],"collection":[155],"networks":[159],"practical":[161],"scenarios.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}