{"id":"https://openalex.org/W2971534076","doi":"https://doi.org/10.1109/sahcn.2019.8824867","title":"VISIT: Placement of Unmanned Aerial Vehicles for Anisotropic Monitoring Tasks","display_name":"VISIT: Placement of Unmanned Aerial Vehicles for Anisotropic Monitoring Tasks","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2971534076","doi":"https://doi.org/10.1109/sahcn.2019.8824867","mag":"2971534076"},"language":"en","primary_location":{"id":"doi:10.1109/sahcn.2019.8824867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sahcn.2019.8824867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","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/A5100415467","display_name":"Weijun Wang","orcid":"https://orcid.org/0000-0002-9545-3322"},"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":"Weijun Wang","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, CHINA"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, CHINA","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003181030","display_name":"Haipeng Dai","orcid":"https://orcid.org/0000-0003-0545-8187"},"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":"Haipeng Dai","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, CHINA"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, CHINA","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058480659","display_name":"Chao Dong","orcid":"https://orcid.org/0000-0002-0183-0087"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Dong","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, CHINA"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, CHINA","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100602821","display_name":"Fu Xiao","orcid":"https://orcid.org/0000-0003-1815-2793"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fu Xiao","raw_affiliation_strings":["Nanjing University of Post and Telecommunication, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Post and Telecommunication, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101589442","display_name":"Xiao Cheng","orcid":"https://orcid.org/0000-0003-2524-4872"},"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":"Xiao Cheng","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, CHINA"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, CHINA","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100428808","display_name":"Guihai Chen","orcid":"https://orcid.org/0000-0002-6934-1685"},"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":"Guihai Chen","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, CHINA"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, CHINA","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100415467"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":2.7769,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.90680427,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9987000226974487,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/submodular-set-function","display_name":"Submodular set function","score":0.7245882749557495},{"id":"https://openalex.org/keywords/matroid","display_name":"Matroid","score":0.6579328179359436},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.6488779783248901},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.609398603439331},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5940205454826355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5799606442451477},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.5594491958618164},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5351572632789612},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49946022033691406},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.458636611700058},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4423934817314148},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2865999937057495},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.1008232831954956}],"concepts":[{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.7245882749557495},{"id":"https://openalex.org/C106286213","wikidata":"https://www.wikidata.org/wiki/Q898572","display_name":"Matroid","level":2,"score":0.6579328179359436},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.6488779783248901},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.609398603439331},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5940205454826355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5799606442451477},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.5594491958618164},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5351572632789612},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49946022033691406},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.458636611700058},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4423934817314148},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2865999937057495},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.1008232831954956},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sahcn.2019.8824867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sahcn.2019.8824867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","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":32,"referenced_works":["https://openalex.org/W1506634844","https://openalex.org/W1576820654","https://openalex.org/W1974234009","https://openalex.org/W1997547017","https://openalex.org/W1998072896","https://openalex.org/W1999824796","https://openalex.org/W2010958645","https://openalex.org/W2011039300","https://openalex.org/W2020578866","https://openalex.org/W2083904291","https://openalex.org/W2085798639","https://openalex.org/W2099111195","https://openalex.org/W2111815723","https://openalex.org/W2113053773","https://openalex.org/W2136320909","https://openalex.org/W2146972986","https://openalex.org/W2148134592","https://openalex.org/W2153282579","https://openalex.org/W2342418099","https://openalex.org/W2342656438","https://openalex.org/W2428757121","https://openalex.org/W2605933929","https://openalex.org/W2760845069","https://openalex.org/W2773715616","https://openalex.org/W2885428154","https://openalex.org/W2885516346","https://openalex.org/W2912261230","https://openalex.org/W2918369645","https://openalex.org/W2946793659","https://openalex.org/W2950616977","https://openalex.org/W6676598476","https://openalex.org/W6676743044"],"related_works":["https://openalex.org/W4252399622","https://openalex.org/W4320232260","https://openalex.org/W1499990180","https://openalex.org/W4241672388","https://openalex.org/W2923536170","https://openalex.org/W2352672974","https://openalex.org/W2402949237","https://openalex.org/W2964314169","https://openalex.org/W2594118609","https://openalex.org/W3204684126"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"the":[3,45,65,84,91,114,129,170],"fundamental":[4],"problem":[5,131],"of":[6,8,22,31,70,86,103],"placement":[7],"Unmanned":[9],"Aerial":[10],"VehIcles":[11],"for":[12,49],"aniSotropic":[13],"monItoring":[14],"Tasks":[15],"(VISIT).":[16],"That":[17],"is,":[18],"given":[19],"a":[20,28,56,119,137,143,148],"set":[21],"objects":[23,51],"on":[24],"2D":[25],"area,":[26],"place":[27],"fixed":[29],"number":[30],"UAVs":[32],"by":[33,179],"adjusting":[34],"their":[35],"coordinates":[36],"and":[37,80,106,146,162,169],"orientations":[38],"subject":[39,141],"to":[40,59,77,93,112,118,142,155,165],"Gaussian":[41],"bias,":[42],"such":[43],"that":[44,128,173],"overall":[46],"monitoring":[47,66,71,78,81],"utility":[48],"all":[50],"is":[52,73],"maximized.":[53],"We":[54,158],"develop":[55],"theoretical":[57],"framework":[58],"address":[60,156],"VISIT.":[61],"First,":[62],"we":[63,89,98,126],"establish":[64],"model":[67],"whose":[68],"quality":[69],"(QoM)":[72],"anisotropy":[74],"with":[75,151],"respect":[76],"angle":[79],"distance.":[82],"To":[83],"best":[85],"our":[87,167,174],"knowledge,":[88],"are":[90],"first":[92],"consider":[94],"anisotropic":[95],"QoM.":[96],"Then,":[97],"propose":[99],"an":[100],"algorithm":[101,150,175],"consisting":[102],"area":[104],"discretization":[105],"Monitoring":[107],"Dominating":[108],"Set":[109],"(MDS)":[110],"extraction,":[111],"reduce":[113],"infinite":[115],"solution":[116],"space":[117],"limited":[120],"one":[121],"without":[122],"performance":[123],"loss.":[124],"Finally,":[125],"prove":[127],"reformulated":[130],"can":[132],"be":[133],"modeled":[134],"as":[135],"maximizing":[136],"monotone":[138],"submodular":[139],"function":[140],"matroid":[144],"constraint":[145],"present":[147],"greedy":[149],"1\u22121/e\u2212\u03f5":[152],"approximation":[153],"ratio":[154],"it.":[157],"conduct":[159],"both":[160],"simulations":[161],"field":[163],"experiments":[164],"evaluate":[166],"algorithm,":[168],"results":[171],"show":[172],"outperforms":[176],"comparison":[177],"algorithms":[178],"at":[180],"least":[181],"41.3%.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}