{"id":"https://openalex.org/W2966659925","doi":"https://doi.org/10.1109/twc.2019.2930190","title":"Completion Time Minimization for Multi-UAV-Enabled Data Collection","display_name":"Completion Time Minimization for Multi-UAV-Enabled Data Collection","publication_year":2019,"publication_date":"2019-07-29","ids":{"openalex":"https://openalex.org/W2966659925","doi":"https://doi.org/10.1109/twc.2019.2930190","mag":"2966659925"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2019.2930190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2019.2930190","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-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/A5010796482","display_name":"Cheng Zhan","orcid":"https://orcid.org/0000-0002-0971-6748"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Zhan","raw_affiliation_strings":["School of Computer and Information Science, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-0971-6748","affiliations":[{"raw_affiliation_string":"School of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082336235","display_name":"Yong Zeng","orcid":"https://orcid.org/0000-0002-3670-0434"},"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":"Yong Zeng","raw_affiliation_strings":["National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3670-0434","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":228.4974,"has_fulltext":false,"cited_by_count":245,"citation_normalized_percentile":{"value":0.99979983,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"18","issue":"10","first_page":"4859","last_page":"4872"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":1.0,"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":1.0,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9950000047683716,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9750999808311462,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7385909557342529},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.566616952419281},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5403324365615845},{"id":"https://openalex.org/keywords/karush\u2013kuhn\u2013tucker-conditions","display_name":"Karush\u2013Kuhn\u2013Tucker conditions","score":0.525887668132782},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5041764974594116},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5002062320709229},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.4781457185745239},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4741624891757965},{"id":"https://openalex.org/keywords/travelling-salesman-problem","display_name":"Travelling salesman problem","score":0.47249355912208557},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.46126797795295715},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4471915066242218},{"id":"https://openalex.org/keywords/bisection-method","display_name":"Bisection method","score":0.42328178882598877},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.4144231677055359},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4140351116657257},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.26238587498664856},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26045650243759155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1430167257785797},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12236467003822327},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.09695133566856384}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7385909557342529},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.566616952419281},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5403324365615845},{"id":"https://openalex.org/C50454189","wikidata":"https://www.wikidata.org/wiki/Q2075125","display_name":"Karush\u2013Kuhn\u2013Tucker conditions","level":2,"score":0.525887668132782},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5041764974594116},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5002062320709229},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.4781457185745239},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4741624891757965},{"id":"https://openalex.org/C175859090","wikidata":"https://www.wikidata.org/wiki/Q322212","display_name":"Travelling salesman problem","level":2,"score":0.47249355912208557},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.46126797795295715},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4471915066242218},{"id":"https://openalex.org/C157544257","wikidata":"https://www.wikidata.org/wiki/Q866300","display_name":"Bisection method","level":2,"score":0.42328178882598877},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.4144231677055359},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4140351116657257},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.26238587498664856},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26045650243759155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1430167257785797},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12236467003822327},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.09695133566856384},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/twc.2019.2930190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2019.2930190","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2534808090","display_name":"\u57fa\u4e8e\u7f13\u5b58\u7684\u5f02\u6784\u8702\u7a9d\u7f51\u7edc\u89c6\u9891\u4f20\u8f93\u4f18\u5316\u673a\u5236\u7814\u7a76","funder_award_id":"61702426","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8634879397","display_name":null,"funder_award_id":"XDJK2019C084","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2050819731","https://openalex.org/W2069341053","https://openalex.org/W2089754250","https://openalex.org/W2096032903","https://openalex.org/W2268751503","https://openalex.org/W2327622231","https://openalex.org/W2392398774","https://openalex.org/W2523219060","https://openalex.org/W2589615107","https://openalex.org/W2604830243","https://openalex.org/W2740005962","https://openalex.org/W2783184536","https://openalex.org/W2795603418","https://openalex.org/W2797090510","https://openalex.org/W2804397006","https://openalex.org/W2891242609","https://openalex.org/W2899664594","https://openalex.org/W2962804513","https://openalex.org/W2963061782","https://openalex.org/W2963177943","https://openalex.org/W2963523817","https://openalex.org/W2963991174","https://openalex.org/W2964023906","https://openalex.org/W2964209416","https://openalex.org/W2994008524","https://openalex.org/W4250589301","https://openalex.org/W6760299318"],"related_works":["https://openalex.org/W2155858901","https://openalex.org/W4382519099","https://openalex.org/W2491194410","https://openalex.org/W2917933030","https://openalex.org/W1515727993","https://openalex.org/W2037179686","https://openalex.org/W2802398440","https://openalex.org/W3195000156","https://openalex.org/W2112045043","https://openalex.org/W4365524914"],"abstract_inverted_index":{"Energy":[0],"consumption":[1],"is":[2,87,92,192,212],"one":[3],"of":[4,25,77,202],"the":[5,42,53,59,74,128,136,149,164,189,216,227,244],"important":[6],"design":[7,238],"aspect":[8],"for":[9,64,132],"data":[10,20,78,113,171,231],"collection":[11,21,172,232],"in":[12,29,124],"wireless":[13],"sensor":[14,26],"networks":[15],"(WSNs).":[16],"This":[17],"paper":[18],"studies":[19],"from":[22],"a":[23,80,88,105,195,199,208],"set":[24],"nodes":[27],"(SNs)":[28],"WSNs":[30],"enabled":[31,230],"by":[32,50,147,214],"multiple":[33,151],"unmanned":[34],"aerial":[35],"vehicles":[36],"(UAVs).":[37],"We":[38],"aim":[39],"to":[40,94,126],"minimize":[41],"maximum":[43],"mission":[44],"completion":[45],"time":[46,186],"among":[47,139],"all":[48,140],"UAVs":[49],"jointly":[51],"optimizing":[52],"UAV":[54,110],"trajectory,":[55],"as":[56,58,117,177],"well":[57],"wake-up":[60],"scheduling":[61],"and":[62,135,157,185,236],"association":[63],"SNs,":[65],"while":[66,114,174],"ensuring":[67],"that":[68,108,168,226],"each":[69,109,133],"SN":[70,134],"can":[71],"successfully":[72],"upload":[73],"targeting":[75],"amount":[76],"with":[79,198,233],"given":[81],"energy":[82],"budget.":[83],"The":[84,222],"formulated":[85],"problem":[86,90,191],"non-convex":[89],"which":[91,207],"difficult":[93],"be":[95],"solved":[96],"directly.":[97],"To":[98],"tackle":[99],"this":[100,122],"problem,":[101],"we":[102,142,162],"first":[103],"propose":[104,143,163],"simple":[106],"scheme":[107,167],"only":[111],"collects":[112],"hovering,":[115],"termed":[116,176],"hovering":[118,130],"mode":[119,179],"(Hmode).":[120],"For":[121],"mode,":[123],"order":[125,138],"find":[127],"optimized":[129],"locations":[131],"serving":[137],"locations,":[141],"an":[144],"efficient":[145],"algorithm":[146],"leveraging":[148,182],"min-max":[150],"Traveling":[152],"Salesman":[153],"Problem":[154],"(min-max":[155],"m-TSP)":[156],"convex":[158,218],"optimization":[159,203],"techniques.":[160],"Furthermore,":[161],"more":[165],"general":[166],"enables":[169],"continuous":[170],"even":[173],"flying,":[175],"flying":[178],"(Fmode).":[180],"By":[181],"bisection":[183],"method":[184],"discretization":[187],"technique,":[188],"original":[190],"transformed":[193],"into":[194],"discretized":[196],"equivalent":[197],"finite":[200],"number":[201],"variables,":[204],"based":[205],"on":[206],"Karush-Kuhn-Tucker":[209],"(KKT)":[210],"solution":[211],"obtained":[213],"applying":[215],"successive":[217],"approximation":[219],"(SCA)":[220],"technique.":[221],"simulation":[223],"results":[224],"show":[225],"proposed":[228],"multi-UAV":[229],"joint":[234],"trajectory":[235],"communication":[237],"achieves":[239],"significant":[240],"performance":[241],"gains":[242],"over":[243],"benchmark":[245],"schemes.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":36},{"year":2023,"cited_by_count":47},{"year":2022,"cited_by_count":50},{"year":2021,"cited_by_count":47},{"year":2020,"cited_by_count":26},{"year":2019,"cited_by_count":4}],"updated_date":"2026-07-14T08:27:34.040176","created_date":"2025-10-10T00:00:00"}