{"id":"https://openalex.org/W3179704665","doi":"https://doi.org/10.1109/drcn51631.2021.9477360","title":"UAV Surveillance Optimization for Networks in Disaster-Stricken Areas","display_name":"UAV Surveillance Optimization for Networks in Disaster-Stricken Areas","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3179704665","doi":"https://doi.org/10.1109/drcn51631.2021.9477360","mag":"3179704665"},"language":"en","primary_location":{"id":"doi:10.1109/drcn51631.2021.9477360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/drcn51631.2021.9477360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 17th International Conference on the Design of Reliable Communication Networks (DRCN)","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/A5026184657","display_name":"Hiroki Ikeuchi","orcid":"https://orcid.org/0000-0002-7793-9433"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Ikeuchi","raw_affiliation_strings":["NTT Corporation,NTT Network Technology Laboratories,Tokyo 180-8585,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Corporation,NTT Network Technology Laboratories,Tokyo 180-8585,Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101820221","display_name":"Hiroshi Sait\u014d","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Saito","raw_affiliation_strings":["The University of Tokyo,Graduate School of Information Science and Technology,Tokyo 113-8656,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo,Graduate School of Information Science and Technology,Tokyo 113-8656,Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109441382","display_name":"Kotaro Matsuda","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kotaro Matsuda","raw_affiliation_strings":["NTT Corporation,NTT Network Technology Laboratories,Tokyo 180-8585,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Corporation,NTT Network Technology Laboratories,Tokyo 180-8585,Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0986,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89155069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"16","issue":null,"first_page":"1","last_page":"8"},"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":0.9991000294685364,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7589206695556641},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.7455881834030151},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6637365818023682},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.636216938495636},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4906848669052124},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4714288115501404},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4332476854324341},{"id":"https://openalex.org/keywords/situation-awareness","display_name":"Situation awareness","score":0.42293378710746765},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34860727190971375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27700942754745483},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.1245674192905426},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0922117531299591},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08953344821929932}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7589206695556641},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.7455881834030151},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6637365818023682},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.636216938495636},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4906848669052124},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4714288115501404},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4332476854324341},{"id":"https://openalex.org/C145804949","wikidata":"https://www.wikidata.org/wiki/Q478123","display_name":"Situation awareness","level":2,"score":0.42293378710746765},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34860727190971375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27700942754745483},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.1245674192905426},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0922117531299591},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08953344821929932},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/drcn51631.2021.9477360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/drcn51631.2021.9477360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 17th International Conference on the Design of Reliable Communication Networks (DRCN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1662325026","https://openalex.org/W1667454621","https://openalex.org/W2003281104","https://openalex.org/W2044195080","https://openalex.org/W2122301224","https://openalex.org/W2125069195","https://openalex.org/W2130192595","https://openalex.org/W2130750029","https://openalex.org/W2151239055","https://openalex.org/W2304578911","https://openalex.org/W2507636392","https://openalex.org/W2531699011","https://openalex.org/W2558152615","https://openalex.org/W2571149404","https://openalex.org/W2617643478","https://openalex.org/W2788778560","https://openalex.org/W2891007421","https://openalex.org/W2910499791","https://openalex.org/W2929275563","https://openalex.org/W2951173743","https://openalex.org/W2963054668","https://openalex.org/W2968800074","https://openalex.org/W3099664902","https://openalex.org/W3103288814","https://openalex.org/W4300076045","https://openalex.org/W6728085205"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W2743859443","https://openalex.org/W2326995835","https://openalex.org/W165915117","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W4387804363","https://openalex.org/W2019547100","https://openalex.org/W2477150073","https://openalex.org/W2515493494"],"abstract_inverted_index":{"Unmanned":[0],"aerial":[1],"vehicle":[2],"(UAV)":[3],"cameras":[4],"have":[5,22],"recently":[6],"been":[7],"an":[8,108],"emerging":[9],"powerful":[10],"tool":[11],"to":[12,73,125],"grasp":[13],"damage":[14,71],"situations":[15],"in":[16,40,107,160],"disaster-stricken":[17,41],"areas.":[18,42],"Whereas":[19],"previous":[20],"methods":[21],"mainly":[23],"focused":[24],"on":[25,88],"covering":[26],"widely":[27],"spread":[28],"target":[29],"fields,":[30],"we":[31,50,80,103,134],"consider":[32],"UAV":[33,47,158],"trajectory":[34],"optimization":[35],"for":[36,84],"the":[37,44,58,68,89,98,120,127],"network":[38,143],"surveillance":[39],"Under":[43],"constraint":[45],"of":[46,60,70,91,100,119,131],"flight":[48],"distance,":[49],"aim":[51],"at":[52],"maximizing":[53],"a":[54,82,140],"utility":[55],"function":[56],"reflecting":[57],"priority":[59],"monitoring":[61],"determined":[62],"by":[63],"domain-specific":[64],"knowledge,":[65],"such":[66],"as":[67],"risk":[69],"due":[72],"disasters.":[74],"Although":[75],"this":[76],"problem":[77],"is":[78],"NP-hard,":[79],"propose":[81],"method":[83,155],"obtaining":[85],"approximate":[86],"solutions":[87],"basis":[90],"two":[92],"alternative":[93],"heuristic":[94],"algorithms.":[95],"To":[96],"investigate":[97],"characteristic":[99],"our":[101,113,132,154],"method,":[102,133],"conducted":[104],"numerical":[105,137],"simulations":[106],"artificial":[109],"network,":[110],"showing":[111],"that":[112,153],"algorithms":[114],"empirically":[115],"give":[116],"good":[117],"approximations":[118],"optimal":[121],"solution.":[122],"In":[123],"addition,":[124],"evaluate":[126],"effectiveness":[128],"and":[129],"feasibility":[130],"carried":[135],"out":[136],"experiments":[138],"using":[139],"real":[141],"road":[142],"constructed":[144],"with":[145],"open":[146],"geographic":[147],"information":[148],"system":[149],"(GIS)":[150],"data,":[151],"demonstrating":[152],"generates":[156],"plausible":[157],"trajectories":[159],"appropriate":[161],"parameter":[162],"settings.":[163]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}