{"id":"https://openalex.org/W2128418925","doi":"https://doi.org/10.1109/percom.2009.4912842","title":"Delaunay-triangulation based complete coverage in wireless sensor networks","display_name":"Delaunay-triangulation based complete coverage in wireless sensor networks","publication_year":2009,"publication_date":"2009-03-01","ids":{"openalex":"https://openalex.org/W2128418925","doi":"https://doi.org/10.1109/percom.2009.4912842","mag":"2128418925"},"language":"en","primary_location":{"id":"doi:10.1109/percom.2009.4912842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom.2009.4912842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Pervasive Computing and Communications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5111876977","display_name":"Chinh T. Vu","orcid":null},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chinh T. Vu","raw_affiliation_strings":["Computer Science Department, Georgia State University, Atlanta, GA, USA","Computer Science Department, Georgia State University, Atlanta, 30303 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Georgia State University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I181565077"]},{"raw_affiliation_string":"Computer Science Department, Georgia State University, Atlanta, 30303 USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046635673","display_name":"Yingshu Li","orcid":"https://orcid.org/0000-0002-1906-7112"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingshu Li","raw_affiliation_strings":["Computer Science Department, Georgia State University, Atlanta, GA, USA","Computer Science Department, Georgia State University, Atlanta, 30303 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Georgia State University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I181565077"]},{"raw_affiliation_string":"Computer Science Department, Georgia State University, Atlanta, 30303 USA","institution_ids":["https://openalex.org/I181565077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181565077"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9968000054359436,"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"}},"topics":[{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9968000054359436,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9965999722480774,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9883000254631042,"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/delaunay-triangulation","display_name":"Delaunay triangulation","score":0.9342535734176636},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7535585761070251},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.7467463612556458},{"id":"https://openalex.org/keywords/constrained-delaunay-triangulation","display_name":"Constrained Delaunay triangulation","score":0.6874818801879883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6513217091560364},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6200475096702576},{"id":"https://openalex.org/keywords/triangulation","display_name":"Triangulation","score":0.6062560081481934},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5679342746734619},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5516539216041565},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.47784778475761414},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.45122992992401123},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36720380187034607},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34900927543640137},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3001304268836975},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.233223557472229},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10072407126426697}],"concepts":[{"id":"https://openalex.org/C68010082","wikidata":"https://www.wikidata.org/wiki/Q192445","display_name":"Delaunay triangulation","level":2,"score":0.9342535734176636},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7535585761070251},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.7467463612556458},{"id":"https://openalex.org/C128321387","wikidata":"https://www.wikidata.org/wiki/Q5164356","display_name":"Constrained Delaunay triangulation","level":3,"score":0.6874818801879883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6513217091560364},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6200475096702576},{"id":"https://openalex.org/C135981907","wikidata":"https://www.wikidata.org/wiki/Q188056","display_name":"Triangulation","level":2,"score":0.6062560081481934},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5679342746734619},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5516539216041565},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.47784778475761414},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.45122992992401123},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36720380187034607},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34900927543640137},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3001304268836975},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.233223557472229},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10072407126426697},{"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percom.2009.4912842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom.2009.4912842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Pervasive Computing and Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1970013278","https://openalex.org/W2009940773","https://openalex.org/W2101133348","https://openalex.org/W2114560292","https://openalex.org/W2130382583","https://openalex.org/W2153410375","https://openalex.org/W2154730439","https://openalex.org/W2167910416","https://openalex.org/W2169484333","https://openalex.org/W6643072105","https://openalex.org/W6668793274"],"related_works":["https://openalex.org/W1883162576","https://openalex.org/W2385297469","https://openalex.org/W2374047534","https://openalex.org/W2001351033","https://openalex.org/W2347819474","https://openalex.org/W2381889232","https://openalex.org/W2359979928","https://openalex.org/W2026181493","https://openalex.org/W2509795980","https://openalex.org/W2385619438"],"abstract_inverted_index":{"One":[0],"of":[1,158],"the":[2,23,36,44,56,69,77,90,102,110,116,135,139],"major":[3],"issues":[4],"in":[5,43,55,112],"a":[6,40],"wireless":[7],"sensor":[8],"network":[9,159],"(WSN)":[10],"is":[11],"how":[12],"to":[13,38,89],"cover":[14,39],"an":[15,148],"interested":[16],"area.":[17],"In":[18,105,137],"this":[19,106],"paper,":[20],"we":[21,108],"consider":[22],"area":[24,45,78,118],"coverage":[25,46,60,79,132,152],"problem":[26,47,80],"for":[27,68,101,133],"variable":[28,33],"sensing":[29,34],"radii":[30],"WSN.":[31],"With":[32],"range,":[35],"difficulties":[37],"continuous":[41],"space":[42],"becomes":[48],"exceptionally":[49],"harder":[50],"than":[51],"covering":[52],"discrete":[53],"points":[54],"target":[57],"(or":[58],"point)":[59],"problem.":[61,71],"Very":[62],"few":[63],"papers":[64],"have":[65,75],"paid":[66],"effort":[67],"former":[70],"Wang":[72],"and":[73],"Medidi":[74],"solved":[76],"based":[81],"on":[82,151],"Delaunay":[83],"triangulation":[84],"structure":[85],"[2].":[86],"However,":[87],"due":[88],"boundary":[91],"effect":[92],"their":[93],"proposed":[94],"algorithms":[95],"cannot":[96],"always":[97],"provide":[98],"complete":[99,131],"surveillance":[100],"whole":[103],"network.":[104],"work,":[107],"improve":[109],"work":[111],"[2]":[113],"so":[114],"that":[115,126,143],"monitored":[117],"can":[119],"be":[120],"completely":[121],"covered.":[122],"A":[123],"theorem":[124],"confirms":[125],"our":[127,144],"improved":[128],"algorithm":[129,146],"provides":[130],"all":[134],"cases.":[136],"addition,":[138],"simulation":[140],"further":[141],"shows":[142],"energy-efficient":[145],"has":[147],"obvious":[149],"improvement":[150],"status":[153],"with":[154],"very":[155],"small":[156],"compensation":[157],"lifetime.":[160]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
