{"id":"https://openalex.org/W1484537074","doi":null,"title":"In-network Outlier Cleaning for Data Collection in Sensor Networks.","display_name":"In-network Outlier Cleaning for Data Collection in Sensor Networks.","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W1484537074","mag":"1484537074"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.85.6547","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.85.6547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://pike.psu.edu/cleandb06/papers/CameraReady_124.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5108289989","display_name":"Yongzhen Zhuang","orcid":"https://orcid.org/0009-0003-8902-9095","observed_orcids":["https://orcid.org/0009-0003-8902-9095"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongzhen Zhuang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100333516","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-8257-5806","observed_orcids":["https://orcid.org/0000-0002-8257-5806","https://orcid.org/0000-0002-1054-5501","https://orcid.org/0000-0002-4912-3293","https://orcid.org/0000-0002-7918-8936","https://orcid.org/0000-0003-4664-0700"]},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["Hong Kong University of Science & Technology"],"raw_orcid":"https://orcid.org/0000-0002-8257-5806","affiliations":[{"raw_affiliation_string":"Hong Kong University of Science & Technology","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.386,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.95582082,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":87,"max":99},"biblio":{"volume":null,"issue":null,"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":0.7954000234603882,"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":0.7954000234603882,"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/T11498","display_name":"Security in Wireless Sensor Networks","score":0.09290000051259995,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.025499999523162842,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sensor-networks","display_name":"sensor networks","score":0.9120000004768372},{"id":"https://openalex.org/keywords/outlier-removal","display_name":"outlier removal","score":0.6000000238418579},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"dynamic time warping","score":0.8659999966621399},{"id":"https://openalex.org/keywords/multi-hop-data-forwarding","display_name":"multi-hop data forwarding","score":0.8659999966621399},{"id":"https://openalex.org/keywords/energy-efficiency","display_name":"energy efficiency","score":0.6669999957084656},{"id":"https://openalex.org/keywords/environmental-monitoring","display_name":"environmental monitoring","score":0.6790000200271606}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8639057278633118},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.661733090877533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6537504196166992},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5517407059669495},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4797324240207672},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.4513987898826599},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.358026385307312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2810083031654358},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19156509637832642}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.85.6547","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.85.6547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://pike.psu.edu/cleandb06/papers/CameraReady_124.pdf","raw_type":"text"},{"id":"mag:1484537074","doi":null,"is_oa":false,"landing_page_url":"http://pike.psu.edu/cleandb06/papers/CameraReady_124.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W116902681","https://openalex.org/W152645600","https://openalex.org/W1603054560","https://openalex.org/W2027843893","https://openalex.org/W2049058890","https://openalex.org/W2092952332","https://openalex.org/W2095640719","https://openalex.org/W2099351934","https://openalex.org/W2111160323","https://openalex.org/W2121255383","https://openalex.org/W2124621092","https://openalex.org/W2127949150","https://openalex.org/W2129249398","https://openalex.org/W2132549513","https://openalex.org/W2137130182","https://openalex.org/W2157568282","https://openalex.org/W2167289038","https://openalex.org/W2167396179","https://openalex.org/W2168089575","https://openalex.org/W2999214452","https://openalex.org/W6940797029"],"related_works":["https://openalex.org/W7098227990","https://openalex.org/W7098598491","https://openalex.org/W2029275588","https://openalex.org/W3007483134","https://openalex.org/W3033889852","https://openalex.org/W3018989443","https://openalex.org/W2023332207","https://openalex.org/W7097558994","https://openalex.org/W3049562709","https://openalex.org/W2010254953"],"abstract_inverted_index":{"Outliers":[0],"are":[1],"very":[2],"common":[3],"in":[4,39,94,134],"the":[5,91,95,106,130,145],"environmental":[6,126],"data":[7,29,84,147],"monitored":[8],"by":[9],"a":[10,33,123],"sensor":[11,40],"network":[12],"consisting":[13],"of":[14,90,105],"many":[15],"inexpensive,":[16],"low":[17],"fidelity,":[18],"and":[19,27,69,87,128,148],"frequently":[20],"failed":[21],"sensors.":[22],"The":[23,77,136],"limited":[24],"battery":[25],"power":[26],"costly":[28],"transmission":[30,116],"have":[31,121],"introduced":[32],"new":[34],"challenge":[35],"for":[36],"outlier":[37,61,67,75,131,150],"cleaning":[38,62,78,132],"networks:":[41],"it":[42],"must":[43],"be":[44,109],"done":[45],"innetwork":[46],"to":[47],"avoid":[48],"spending":[49],"energy":[50],"on":[51],"transmitting":[52],"outliers.":[53],"In":[54],"this":[55],"paper,":[56],"we":[57],"propose":[58],"an":[59],"in-network":[60],"approach,":[63],"including":[64],"wavelet":[65],"based":[66,97],"correction":[68],"neighboring":[70,92],"DTW(Dynamic":[71],"Time":[72],"Warping)":[73],"distance-based":[74],"removal.":[76],"process":[79],"is":[80],"accomplished":[81],"during":[82],"multi-hop":[83],"forwarding":[85],"process,":[86],"makes":[88],"use":[89],"relation":[93],"hop-count":[96],"routing":[98],"algorithm.":[99],"Our":[100],"approach":[101,133,141],"guarantees":[102],"that":[103,139],"most":[104],"outliers":[107],"can":[108,142],"either":[110],"corrected,":[111],"or":[112],"removed":[113],"from":[114],"further":[115],"within":[117],"2":[118],"hops.":[119],"We":[120],"simulated":[122],"spatialtemporal":[124],"correlated":[125],"area,":[127],"evaluated":[129],"it.":[135],"results":[137],"show":[138],"our":[140],"effectively":[143],"clean":[144],"sensing":[146],"reduce":[149],"traffic.":[151],"1":[152]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":6}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
