{"id":"https://openalex.org/W2991628725","doi":"https://doi.org/10.1109/pimrc.2019.8904253","title":"Faulty Data Detection in mMTC Based E-health Data Collection Networks","display_name":"Faulty Data Detection in mMTC Based E-health Data Collection Networks","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2991628725","doi":"https://doi.org/10.1109/pimrc.2019.8904253","mag":"2991628725"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc.2019.8904253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2019.8904253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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/A5073885379","display_name":"Yacong Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yacong Liang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,National Engineering Lab for Mobile,Beijing,China,100876","National Engineering Lab for Mobile, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,National Engineering Lab for Mobile,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"National Engineering Lab for Mobile, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061030501","display_name":"Xiaodong Xu","orcid":"https://orcid.org/0000-0003-4245-5989"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Xu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,National Engineering Lab for Mobile,Beijing,China,100876","National Engineering Lab for Mobile, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,National Engineering Lab for Mobile,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"National Engineering Lab for Mobile, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059295869","display_name":"Shujun Han","orcid":"https://orcid.org/0000-0002-6257-7732"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shujun Han","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,National Engineering Lab for Mobile,Beijing,China,100876","National Engineering Lab for Mobile, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,National Engineering Lab for Mobile,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"National Engineering Lab for Mobile, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065764307","display_name":"Ziting Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziting Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,National Engineering Lab for Mobile,Beijing,China,100876","National Engineering Lab for Mobile, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,National Engineering Lab for Mobile,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"National Engineering Lab for Mobile, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063316795","display_name":"Yan Sun","orcid":"https://orcid.org/0000-0002-0839-1769"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yan Sun","raw_affiliation_strings":["Queen Mary University of London,United Kingdom","Queen Mary University of London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,United Kingdom","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Queen Mary University of London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5073885379"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14001217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11932","display_name":"Wireless Body Area Networks","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9851999878883362,"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/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9764000177383423,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7846136093139648},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6753814816474915},{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.6672067642211914},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.6267050504684448},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6108509302139282},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5145561099052429},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5056560039520264},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5026450157165527},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.46642571687698364},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.44354912638664246},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37399977445602417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3707963824272156},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.26923370361328125},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2513907849788666},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11670708656311035}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7846136093139648},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6753814816474915},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.6672067642211914},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.6267050504684448},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6108509302139282},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5145561099052429},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5056560039520264},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5026450157165527},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.46642571687698364},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.44354912638664246},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37399977445602417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3707963824272156},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.26923370361328125},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2513907849788666},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11670708656311035},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc.2019.8904253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2019.8904253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1502922572","https://openalex.org/W1669006701","https://openalex.org/W1968418867","https://openalex.org/W1999840231","https://openalex.org/W2031527275","https://openalex.org/W2062417985","https://openalex.org/W2124999454","https://openalex.org/W2141697303","https://openalex.org/W2514173981","https://openalex.org/W2520720843","https://openalex.org/W2596785231","https://openalex.org/W2771152181","https://openalex.org/W2805672896","https://openalex.org/W2808238922","https://openalex.org/W2834963557","https://openalex.org/W6637380202","https://openalex.org/W6666507233"],"related_works":["https://openalex.org/W1584123598","https://openalex.org/W2731305060","https://openalex.org/W2372003537","https://openalex.org/W1983393909","https://openalex.org/W2040150569","https://openalex.org/W4379535633","https://openalex.org/W2468095590","https://openalex.org/W2132174924","https://openalex.org/W1911540634","https://openalex.org/W2013909972"],"abstract_inverted_index":{"In":[0,106],"the":[1,22,53,56,60,65,72,81,92,100,103,107,118,129,135,138,140,156,162],"fifth":[2],"generation":[3],"mobile":[4],"communication":[5,12],"(5G)":[6],"and":[7,44,67,151],"beyond,":[8],"massive":[9],"machine":[10,111],"type":[11],"(mMTC)":[13],"is":[14,64,114,172],"regarded":[15],"as":[16],"a":[17,30,123,177],"key":[18],"technology":[19],"to":[20,98,116,133],"support":[21],"universal":[23],"Internet":[24],"of":[25,35,55,102,122,137,168],"Things":[26],"(IoT)":[27],"devices.":[28],"As":[29],"promising":[31],"vertical":[32],"application":[33],"area":[34],"IoT,":[36],"e-health":[37,75],"received":[38],"many":[39],"attentions":[40],"from":[41],"academic,":[42],"medical":[43,179],"industry.":[45],"To":[46],"provide":[47],"reliable":[48],"suggestions":[49],"for":[50],"doctor,":[51],"guaranteeing":[52],"authenticity":[54,101],"sensory":[57,85],"data":[58,61,76,86],"during":[59],"collection":[62,77],"procedure":[63],"first":[66],"fundamental":[68],"step.":[69],"Focusing":[70],"on":[71,176],"mMTC":[73],"based":[74],"scenario,":[78],"we":[79],"propose":[80],"threshold-based":[82],"decision":[83],"faulty":[84],"detection":[87,149],"(FSDD)":[88],"scheme":[89,142,159,171],"by":[90,174],"analyzing":[91],"correlation":[93],"among":[94],"several":[95],"physiological":[96,125],"parameters":[97],"guarantee":[99],"collected":[104],"data.":[105],"proposed":[108,157,169],"FSDD":[109,141,158,170],"scheme,":[110],"learning":[112],"algorithm":[113],"exploited":[115],"predict":[117],"ground":[119],"truth":[120],"value":[121],"certain":[124],"parameter.":[126],"By":[127],"searching":[128],"dynamic":[130],"optimized":[131],"threshold":[132],"optimize":[134],"performance":[136,145],"system,":[139],"provides":[143],"great":[144],"improvement":[146],"in":[147],"high":[148],"accuracy":[150],"low":[152],"false":[153],"alarm.":[154],"Furthermore,":[155],"can":[160],"recognize":[161],"deteriorated":[163],"health":[164],"condition.":[165],"The":[166],"effectiveness":[167],"verified":[173],"simulating":[175],"real":[178],"database.":[180]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
