{"id":"https://openalex.org/W3168024206","doi":"https://doi.org/10.1109/tase.2021.3084631","title":"Modeling of Intelligent Sensor Duty Cycling for Smart Home Automation","display_name":"Modeling of Intelligent Sensor Duty Cycling for Smart Home Automation","publication_year":2021,"publication_date":"2021-06-10","ids":{"openalex":"https://openalex.org/W3168024206","doi":"https://doi.org/10.1109/tase.2021.3084631","mag":"3168024206"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2021.3084631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2021.3084631","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","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/A5073336149","display_name":"Murad Khan","orcid":"https://orcid.org/0000-0001-9905-8904"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Murad Khan","raw_affiliation_strings":["School of Computer Science, Kyungpook National University, Daegu, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Kyungpook National University, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100599614","display_name":"Junho Seo","orcid":"https://orcid.org/0000-0002-5000-0215"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junho Seo","raw_affiliation_strings":["School of Computer Science, Kyungpook National University, Daegu, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Kyungpook National University, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100655990","display_name":"Dongkyun Kim","orcid":"https://orcid.org/0000-0002-1995-378X"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongkyun Kim","raw_affiliation_strings":["School of Computer Science, Kyungpook National University, Daegu, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Kyungpook National University, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073336149"],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":1.0681,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.78936823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":"3","first_page":"2412","last_page":"2421"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9983000159263611,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9976000189781189,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9951000213623047,"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/home-automation","display_name":"Home automation","score":0.8881716728210449},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7159805297851562},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.6526715159416199},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6139533519744873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.591577410697937},{"id":"https://openalex.org/keywords/building-automation","display_name":"Building automation","score":0.5638960599899292},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5096909999847412},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.497205525636673},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.48481622338294983},{"id":"https://openalex.org/keywords/guard","display_name":"Guard (computer science)","score":0.4612502157688141},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4516505300998688},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4450171887874603},{"id":"https://openalex.org/keywords/smart-environment","display_name":"Smart environment","score":0.43277519941329956},{"id":"https://openalex.org/keywords/intelligent-sensor","display_name":"Intelligent sensor","score":0.4273831844329834},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3041708469390869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.302306592464447},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.265809029340744},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.24706608057022095},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17223316431045532},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.09414753317832947},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08849623799324036}],"concepts":[{"id":"https://openalex.org/C507571656","wikidata":"https://www.wikidata.org/wiki/Q848436","display_name":"Home automation","level":2,"score":0.8881716728210449},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7159805297851562},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.6526715159416199},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6139533519744873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.591577410697937},{"id":"https://openalex.org/C83931994","wikidata":"https://www.wikidata.org/wiki/Q1149653","display_name":"Building automation","level":2,"score":0.5638960599899292},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5096909999847412},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.497205525636673},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.48481622338294983},{"id":"https://openalex.org/C141141315","wikidata":"https://www.wikidata.org/wiki/Q2379942","display_name":"Guard (computer science)","level":2,"score":0.4612502157688141},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4516505300998688},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4450171887874603},{"id":"https://openalex.org/C152223200","wikidata":"https://www.wikidata.org/wiki/Q3055471","display_name":"Smart environment","level":3,"score":0.43277519941329956},{"id":"https://openalex.org/C176563091","wikidata":"https://www.wikidata.org/wiki/Q669238","display_name":"Intelligent sensor","level":3,"score":0.4273831844329834},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3041708469390869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.302306592464447},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.265809029340744},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.24706608057022095},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17223316431045532},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.09414753317832947},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08849623799324036},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2021.3084631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2021.3084631","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G4140520386","display_name":null,"funder_award_id":"2016R1D1A3B01015510","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G8870362259","display_name":null,"funder_award_id":"2019H1D3A1A01102987","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1989804777","https://openalex.org/W2021361613","https://openalex.org/W2022306025","https://openalex.org/W2032249547","https://openalex.org/W2034228041","https://openalex.org/W2061399872","https://openalex.org/W2115164155","https://openalex.org/W2116299102","https://openalex.org/W2131774270","https://openalex.org/W2173415478","https://openalex.org/W2577115920","https://openalex.org/W2604321178","https://openalex.org/W2728363269","https://openalex.org/W2764341480","https://openalex.org/W2775533747","https://openalex.org/W2783308734","https://openalex.org/W2791286354","https://openalex.org/W2805713564","https://openalex.org/W2896846890","https://openalex.org/W2913651970","https://openalex.org/W2914690021","https://openalex.org/W2954168748","https://openalex.org/W2972139284","https://openalex.org/W2991074772","https://openalex.org/W3028356465","https://openalex.org/W3086220804","https://openalex.org/W3092282229","https://openalex.org/W3097229291","https://openalex.org/W4232192148","https://openalex.org/W4250216917"],"related_works":["https://openalex.org/W3015874164","https://openalex.org/W4205183901","https://openalex.org/W2164722262","https://openalex.org/W1860767939","https://openalex.org/W4200521116","https://openalex.org/W1502755437","https://openalex.org/W2008263010","https://openalex.org/W2025097146","https://openalex.org/W2000658861","https://openalex.org/W2799771502"],"abstract_inverted_index":{"The":[0,88,123,174,250,310],"advancement":[1],"of":[2,31,36,72,79,83,195,282,292,365],"wireless":[3],"sensor":[4,161],"networks":[5],"(WSNs)":[6],"improves":[7],"various":[8,53,77,98],"smart":[9,24,57,85,92,124,247,263,301,348],"home":[10,14,25,86,93,125,155,248,264,302,349,353],"automation":[11],"services":[12,26],"and":[13,22,39,51,106,119,190,220,285,299,308],"users\u2019":[15,126,156,265,303],"living":[16,81],"standards.":[17],"However,":[18],"efficiently":[19],"collecting":[20],"data":[21],"automating":[23,52,242],"require":[27],"the":[28,32,37,45,68,101,114,148,154,201,211,216,222,280,290,325,335,347,362,366],"extensive":[29,193],"deployment":[30],"sensors.":[33,339,367],"Thus,":[34],"one":[35],"crucial":[38],"challenging":[40],"tasks":[41],"is":[42,162,177,197],"to":[43,66,75,112,139,146,152,183,199,225,232,288,297,330,345],"minimize":[44],"sensors\u2019":[46,217,243],"energy":[47,70,121,189,218,293],"consumption":[48,71,219],"for":[49,241,351],"monitoring":[50],"activities":[54,78,115,128,304,333,355],"in":[55,245],"a":[56,64,84,91,159,185,246,276,316],"home.":[58],"In":[59],"this":[60],"article,":[61],"we":[62],"present":[63],"solution":[65],"control":[67],"excessive":[69],"sensors":[73,89,142,165,296,312,327,350],"used":[74,344],"detect":[76,298,331],"daily":[80],"(ADL)":[82],"resident.":[87],"within":[90],"network":[94,104],"are":[95,129,144,313,328],"divided":[96],"into":[97],"groups":[99],"employing":[100],"recurrent":[102,321],"neural":[103,322],"(RNN)":[105],"dynamic":[107],"time":[108],"warping":[109],"(DTW)":[110],"techniques":[111],"predict":[113,147,153],"with":[116,131,166,169,305,356],"high":[117,167,306],"accuracy":[118,307],"less":[120,357],"consumption.":[122],"future":[127],"forecast":[130],"bidirectional":[132,317],"long":[133,318],"short-term":[134,319],"memory":[135,320],"(BLSTM)":[136],"RNN":[137],"model":[138],"select":[140],"those":[141],"that":[143,278],"likely":[145],"upcoming":[149],"activities.":[150],"Similarly,":[151,324],"unusual":[157,332],"activities,":[158],"guard":[160,326],"elected":[163],"among":[164,337],"similarities":[168,336],"each":[170],"other":[171],"using":[172,268,315,334],"DTW.":[173],"sensor\u2019s":[175],"role":[176],"evenly":[178],"switched":[179],"between":[180,188],"different":[181],"modes":[182],"maintain":[184],"fair":[186],"tradeoff":[187],"accuracy.":[191],"An":[192],"set":[194],"simulations":[196],"performed":[198],"validate":[200],"proposed":[202,212],"scheme\u2019s":[203],"work":[204],"integrating":[205],"datasets":[206],"from":[207],"authentic":[208],"sources.":[209],"Finally,":[210],"system":[213,277],"significantly":[214],"reduces":[215],"prolongs":[221,361],"battery":[223,363],"lifetime":[224,364],"approximately":[226],"137":[227],"days.":[228],"<italic":[229],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[230],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Note":[231],"Practitioners</i>":[233],"\u2014This":[234],"article":[235],"presented":[236],"an":[237],"energy-efficient":[238],"duty-cycling":[239,252],"scheme":[240],"operations":[244],"scenario.":[249],"traditional":[251],"schemes":[253,287],"mainly":[254],"provide":[255],"solutions":[256],"based":[257],"on":[258],"appointing":[259],"sentries":[260],"or":[261],"predicting":[262],"next":[266],"activity":[267],"models,":[269],"such":[270],"as":[271],"Bayesian":[272],"networks.":[273],"We":[274],"design":[275],"integrates":[279],"advantages":[281],"both":[283],"sentry":[284],"prediction-based":[286],"reduce":[289],"amount":[291],"required":[294],"by":[295],"automate":[300,346],"precision.":[309],"active":[311],"appointed":[314],"network.":[323],"assigned":[329],"idle":[338],"This":[340],"study":[341],"could":[342],"be":[343],"detecting":[352],"user\u2019s":[354],"energy,":[358],"which":[359],"ultimately":[360]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
