{"id":"https://openalex.org/W1996984276","doi":"https://doi.org/10.4304/jcm.6.2.168-178","title":"H-cluster: A Novel Efficient Algorithm for Data Clustering in Sensor Networks","display_name":"H-cluster: A Novel Efficient Algorithm for Data Clustering in Sensor Networks","publication_year":2011,"publication_date":"2011-04-01","ids":{"openalex":"https://openalex.org/W1996984276","doi":"https://doi.org/10.4304/jcm.6.2.168-178","mag":"1996984276"},"language":"en","primary_location":{"id":"doi:10.4304/jcm.6.2.168-178","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcm.6.2.168-178","pdf_url":null,"source":{"id":"https://openalex.org/S184821498","display_name":"Journal of Communications","issn_l":"1796-2021","issn":["1796-2021","2374-4367"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4323867253","host_organization_name":"International Communication Association","host_organization_lineage":["https://openalex.org/P4323867253"],"host_organization_lineage_names":["International Communication Association"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of 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/A5101422549","display_name":"Longjiang Guo","orcid":"https://orcid.org/0000-0002-6470-6243"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Longjiang Guo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020861124","display_name":"Meirui Ren","orcid":"https://orcid.org/0000-0001-5803-7365"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meirui Ren","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665543","display_name":"Jinbao Li","orcid":"https://orcid.org/0000-0002-8478-3983"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinbao Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101595134","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0003-1754-3039"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5005327787","display_name":"Chunyu Ai","orcid":"https://orcid.org/0000-0002-8516-907X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chunyu Ai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11556911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9991999864578247,"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":0.9991999864578247,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9868000149726868,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8597627878189087},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7771058082580566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.752139151096344},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.5820094347000122},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4989645481109619},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.48878952860832214},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48160073161125183},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.4477965533733368},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42770132422447205},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.41407883167266846},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4139726459980011},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.40576764941215515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2515038847923279},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1134716272354126}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8597627878189087},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7771058082580566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.752139151096344},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.5820094347000122},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4989645481109619},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.48878952860832214},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48160073161125183},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.4477965533733368},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42770132422447205},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.41407883167266846},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4139726459980011},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.40576764941215515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2515038847923279},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1134716272354126},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcm.6.2.168-178","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcm.6.2.168-178","pdf_url":null,"source":{"id":"https://openalex.org/S184821498","display_name":"Journal of Communications","issn_l":"1796-2021","issn":["1796-2021","2374-4367"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4323867253","host_organization_name":"International Communication Association","host_organization_lineage":["https://openalex.org/P4323867253"],"host_organization_lineage_names":["International Communication Association"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W208128215","https://openalex.org/W314363935","https://openalex.org/W1497411990","https://openalex.org/W1977496278","https://openalex.org/W1978612334","https://openalex.org/W1999855152","https://openalex.org/W2097438583","https://openalex.org/W2097542768","https://openalex.org/W2101963262","https://openalex.org/W2103232576","https://openalex.org/W2123845384","https://openalex.org/W2126379392","https://openalex.org/W2130029160","https://openalex.org/W2132228451","https://openalex.org/W2140190241","https://openalex.org/W2153259545","https://openalex.org/W2153610999","https://openalex.org/W2154398720","https://openalex.org/W2157568282","https://openalex.org/W2167081989","https://openalex.org/W2167465093","https://openalex.org/W2412157960","https://openalex.org/W2962815591","https://openalex.org/W6682400147","https://openalex.org/W6715224804"],"related_works":["https://openalex.org/W4301002638","https://openalex.org/W2163563073","https://openalex.org/W3186815950","https://openalex.org/W2371010743","https://openalex.org/W2606552659","https://openalex.org/W2181519036","https://openalex.org/W4253632195","https://openalex.org/W2202413591","https://openalex.org/W1987613674","https://openalex.org/W3088133960"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3,77,111],"the":[4,23,30,51,57,78,95,123],"problem":[5],"of":[6,53],"data":[7,15,39,55,60,65,85],"clustering":[8,66,98,130],"in":[9,45,56],"wireless":[10],"sensor":[11,42,104],"networks":[12],"(WSNs).":[13],"The":[14,33],"time":[16,24],"window":[17],"is":[18,35],"a":[19,46,71,83,88,128],"landmark":[20],"window,":[21],"from":[22],"WSN":[25],"starts":[26],"working":[27],"up":[28],"to":[29,36,81,87],"current":[31],"time.":[32],"objective":[34],"group":[37],"sensory":[38,54,59],"generated":[40],"by":[41,50],"nodes":[43],"deployed":[44],"two-dimensional":[47,89],"physical":[48,90],"space":[49,86],"similarity":[52],"multi-dimensional":[58,84],"space.":[61,91],"To":[62],"perform":[63],"in-network":[64],"efficiently,":[67],"we":[68],"propose":[69],"HilbertMap,":[70],"novel":[72],"dimensionality":[73],"reduction":[74],"technique":[75],"based":[76],"Hilbert":[79],"Curves,":[80],"map":[82],"Through":[92],"this":[93],"mapping,":[94],"communications":[96],"for":[97],"mostly":[99],"occur":[100],"between":[101],"geographically":[102],"nearby":[103],"nodes.":[105],"We":[106],"have":[107],"conducted":[108],"simulation":[109],"experiments":[110],"both":[112],"real-world":[113],"and":[114],"synthetic":[115],"datasets.":[116],"Our":[117],"results":[118],"show":[119],"that":[120],"HilbertMap":[121],"improves":[122],"communication":[124],"efficiency":[125],"while":[126],"maintaining":[127],"good":[129],"quality.":[131]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}