{"id":"https://openalex.org/W2912349232","doi":"https://doi.org/10.1109/apcc.2018.8633476","title":"Shape Retrieval with Adjustable Precision for Hole Detection in 3D Wireless Sensor Networks","display_name":"Shape Retrieval with Adjustable Precision for Hole Detection in 3D Wireless Sensor Networks","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2912349232","doi":"https://doi.org/10.1109/apcc.2018.8633476","mag":"2912349232"},"language":"en","primary_location":{"id":"doi:10.1109/apcc.2018.8633476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apcc.2018.8633476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th Asia-Pacific Conference on Communications (APCC)","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/A5101018102","display_name":"Zhengyang Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhengyang Ding","raw_affiliation_strings":["State Grid JiangSu Electric Power Company Information & Telecommunication Branch"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid JiangSu Electric Power Company Information & Telecommunication Branch","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008314693","display_name":"Qian Fang","orcid":null},"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":"Qian Fang","raw_affiliation_strings":["Key Lab of CNII, MOE, Southeast University, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of CNII, MOE, Southeast University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101443062","display_name":"Yaodan Hu","orcid":"https://orcid.org/0000-0003-3075-982X"},"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":"Yaodan Hu","raw_affiliation_strings":["Key Lab of CNII, MOE, Southeast University, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of CNII, MOE, Southeast University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422639","display_name":"Hongyu Wang","orcid":"https://orcid.org/0000-0002-1038-412X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongyu Wang","raw_affiliation_strings":["Wiscom Information System Co., LTD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wiscom Information System Co., LTD","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101540498","display_name":"Jun Tao","orcid":"https://orcid.org/0000-0002-3052-3828"},"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":"Jun Tao","raw_affiliation_strings":["Key Lab of CNII, MOE, Southeast University, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of CNII, MOE, Southeast University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"622","last_page":"627"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9975000023841858,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9975000023841858,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9972000122070312,"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":0.9959999918937683,"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/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7822824716567993},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.7206354141235352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6956291198730469},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6877350807189941},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.5787736773490906},{"id":"https://openalex.org/keywords/topology-control","display_name":"Topology control","score":0.5171774625778198},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.48799577355384827},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.47642454504966736},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4386945366859436},{"id":"https://openalex.org/keywords/key-distribution-in-wireless-sensor-networks","display_name":"Key distribution in wireless sensor networks","score":0.41726988554000854},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.3804311752319336},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3589824438095093},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3024144470691681},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.23469054698944092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15361732244491577},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11315160989761353},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09458610415458679},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08228570222854614}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7822824716567993},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.7206354141235352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6956291198730469},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6877350807189941},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5787736773490906},{"id":"https://openalex.org/C2778034918","wikidata":"https://www.wikidata.org/wiki/Q3689301","display_name":"Topology control","level":5,"score":0.5171774625778198},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.48799577355384827},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.47642454504966736},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4386945366859436},{"id":"https://openalex.org/C41971633","wikidata":"https://www.wikidata.org/wiki/Q6398155","display_name":"Key distribution in wireless sensor networks","level":4,"score":0.41726988554000854},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3804311752319336},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3589824438095093},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3024144470691681},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.23469054698944092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15361732244491577},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11315160989761353},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09458610415458679},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08228570222854614},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/apcc.2018.8633476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apcc.2018.8633476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th Asia-Pacific Conference on Communications (APCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1534489247","https://openalex.org/W1974551581","https://openalex.org/W1977646286","https://openalex.org/W1985866492","https://openalex.org/W2001049771","https://openalex.org/W2012828146","https://openalex.org/W2014545728","https://openalex.org/W2016696546","https://openalex.org/W2029924696","https://openalex.org/W2035775478","https://openalex.org/W2052627089","https://openalex.org/W2058677106","https://openalex.org/W2082094603","https://openalex.org/W2099052762","https://openalex.org/W2114628242","https://openalex.org/W2122186010","https://openalex.org/W2136992183","https://openalex.org/W2154078937","https://openalex.org/W2171495698","https://openalex.org/W2535701094","https://openalex.org/W2536607026","https://openalex.org/W4206860773"],"related_works":["https://openalex.org/W1975451135","https://openalex.org/W917005982","https://openalex.org/W2148549110","https://openalex.org/W2295628284","https://openalex.org/W2890570089","https://openalex.org/W3095958166","https://openalex.org/W2129477171","https://openalex.org/W2593729912","https://openalex.org/W3148968234","https://openalex.org/W2012250365"],"abstract_inverted_index":{"3D":[0,53,113,128],"Wireless":[1],"Sensor":[2],"Networks":[3],"(WSNs)":[4],"have":[5,41],"attracted":[6],"considerable":[7],"attentions":[8],"due":[9],"to":[10,132,156,170,173],"their":[11,98],"geometrical":[12],"topology":[13,40],"characteristics":[14],"and":[15,28,101,116,136,178,186],"various":[16],"application":[17,50],"scenarios.":[18],"Because":[19],"of":[20,37,44,51,80,92],"the":[21,26,29,32,35,38,45,49,52,60,64,67,71,75,78,81,88,93,103,141,152,183,187],"unbalanced":[22],"energy":[23,90,100,188],"consumption":[24,91],"among":[25],"nodes":[27,65,76],"obstacles":[30,47],"in":[31,48,87,127],"sensing":[33],"space,":[34,83],"holes":[36],"network":[39,142],"been":[42],"one":[43],"main":[46],"WSNs.":[54,129],"The":[55],"data":[56,61,72,158],"collection,":[57],"especially":[58],"for":[59,124,140,160],"converged":[62],"at":[63],"nearby":[66],"holes,":[68],"depends":[69],"on":[70,77],"relaying":[73],"by":[74,150],"boundary":[79],"hole":[82,104,125,138,161],"which":[84],"may":[85],"result":[86],"exhaustive":[89],"involved":[94],"nodes,":[95],"quickly":[96],"draining":[97],"limited":[99],"enlarge":[102],"space":[105],"further.":[106],"In":[107,130],"this":[108],"paper,":[109],"we":[110],"adopt":[111],"a":[112,118,134,144],"clustering":[114,146],"approach":[115,147],"propose":[117],"Precision-Adjustable":[119],"Shape":[120],"Retrieval":[121],"(PASR)":[122],"scheme":[123,167],"detection":[126,139,184],"order":[131],"provide":[133],"fast":[135],"efficient":[137],"topology,":[143],"hierarchical":[145],"is":[148,168],"designed":[149],"using":[151],"adjustable":[153],"cluster":[154],"size":[155],"conduct":[157],"collection":[159],"detection.":[162],"Through":[163],"extensive":[164],"simulations,":[165],"our":[166],"demonstrated":[169],"be":[171],"able":[172],"serve":[174],"accurate":[175],"shape":[176],"retrieval":[177],"achieve":[179],"good":[180],"balance":[181],"between":[182],"precision":[185],"consumption.":[189]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}