{"id":"https://openalex.org/W2897825505","doi":"https://doi.org/10.1109/percomw.2018.8480343","title":"Development of Energy-efficient Sensor Networks by Minimizing Sensors Numbers with a Machine Learning Model","display_name":"Development of Energy-efficient Sensor Networks by Minimizing Sensors Numbers with a Machine Learning Model","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2897825505","doi":"https://doi.org/10.1109/percomw.2018.8480343","mag":"2897825505"},"language":"en","primary_location":{"id":"doi:10.1109/percomw.2018.8480343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2018.8480343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","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/A5019778525","display_name":"Zhishu Shen","orcid":"https://orcid.org/0000-0002-3123-4390"},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhishu Shen","raw_affiliation_strings":["KDDI Research, Inc., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KDDI Research, Inc., Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kenji Yokota","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Yokota","raw_affiliation_strings":["KDDI Research, Inc., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KDDI Research, Inc., Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102806785","display_name":"Atsushi Tagami","orcid":"https://orcid.org/0000-0001-9649-2633"},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsushi Tagami","raw_affiliation_strings":["KDDI Research, Inc., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KDDI Research, Inc., Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082680857","display_name":"Teruo Higashino","orcid":"https://orcid.org/0000-0001-5685-0424"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Teruo Higashino","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"pp","issue":null,"first_page":"741","last_page":"746"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"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":0.7627246379852295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6584408283233643},{"id":"https://openalex.org/keywords/sleep-mode","display_name":"Sleep mode","score":0.6278067827224731},{"id":"https://openalex.org/keywords/intelligent-sensor","display_name":"Intelligent sensor","score":0.5416467785835266},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4931930899620056},{"id":"https://openalex.org/keywords/key-distribution-in-wireless-sensor-networks","display_name":"Key distribution in wireless sensor networks","score":0.4321935176849365},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4163323938846588},{"id":"https://openalex.org/keywords/mobile-wireless-sensor-network","display_name":"Mobile wireless sensor network","score":0.41347068548202515},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4112628102302551},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3868177533149719},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.33458223938941956},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.26168692111968994},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2597038745880127},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2369411587715149},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.219565749168396},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14951160550117493},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.14508140087127686},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.1436942219734192},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.11402520537376404}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7627246379852295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6584408283233643},{"id":"https://openalex.org/C57149124","wikidata":"https://www.wikidata.org/wiki/Q587346","display_name":"Sleep mode","level":4,"score":0.6278067827224731},{"id":"https://openalex.org/C176563091","wikidata":"https://www.wikidata.org/wiki/Q669238","display_name":"Intelligent sensor","level":3,"score":0.5416467785835266},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4931930899620056},{"id":"https://openalex.org/C41971633","wikidata":"https://www.wikidata.org/wiki/Q6398155","display_name":"Key distribution in wireless sensor networks","level":4,"score":0.4321935176849365},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4163323938846588},{"id":"https://openalex.org/C7091991","wikidata":"https://www.wikidata.org/wiki/Q17149548","display_name":"Mobile wireless sensor network","level":5,"score":0.41347068548202515},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4112628102302551},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3868177533149719},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.33458223938941956},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.26168692111968994},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2597038745880127},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2369411587715149},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.219565749168396},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14951160550117493},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.14508140087127686},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.1436942219734192},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.11402520537376404},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/percomw.2018.8480343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2018.8480343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8999999761581421,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335839","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1663973292","https://openalex.org/W1978942254","https://openalex.org/W1989374914","https://openalex.org/W1996718482","https://openalex.org/W2009086942","https://openalex.org/W2010900291","https://openalex.org/W2041785419","https://openalex.org/W2072641892","https://openalex.org/W2076063813","https://openalex.org/W2114623221","https://openalex.org/W2117435128","https://openalex.org/W2128569883","https://openalex.org/W2134295053","https://openalex.org/W2136982937","https://openalex.org/W2138668955","https://openalex.org/W2154689682","https://openalex.org/W2172064003","https://openalex.org/W2264139484","https://openalex.org/W2284351912","https://openalex.org/W2472333518","https://openalex.org/W2593302130","https://openalex.org/W3100857292","https://openalex.org/W6720569828","https://openalex.org/W6734528228"],"related_works":["https://openalex.org/W917005982","https://openalex.org/W590203105","https://openalex.org/W2001566400","https://openalex.org/W4309995761","https://openalex.org/W2295628284","https://openalex.org/W2148549110","https://openalex.org/W2511746937","https://openalex.org/W2010136232","https://openalex.org/W1596940136","https://openalex.org/W1975451135"],"abstract_inverted_index":{"With":[0],"the":[1,29,33,51,76,82,106,114,125,140,145,162,170,202,217,223],"increasing":[2],"demand":[3],"to":[4,25,32,61,65,80,92,138,156,167],"construct":[5],"sensor":[6,86,130,149,224],"networks":[7,116],"for":[8],"a":[9,134,148],"smart":[10,42],"IoT":[11,41],"(Internet":[12],"of":[13,35,85,127,143,205,216,222],"Things)":[14],"world,":[15],"numerous":[16],"sensors":[17,43,58,146,159,166,207],"with":[18,180],"sensing":[19],"and":[20,48,69],"communication":[21],"capabilities":[22],"are":[23,44,184],"expected":[24,60],"be":[26,62,96,103],"deployed":[27],"in":[28,98,147,190],"future.":[30],"Thanks":[31],"development":[34,126],"hardware":[36],"manufacture":[37],"technology,":[38],"relatively":[39],"small":[40],"now":[45],"commercially":[46],"available":[47],"cost-effective.":[49],"However,":[50],"total":[52,203],"power":[53,83],"required":[54],"by":[55,132,160,208],"operating":[56],"these":[57],"is":[59,75,154],"enormous,":[63],"due":[64],"their":[66],"large":[67],"number":[68,204],"frequent":[70],"activity.":[71],"Removing":[72],"\u201cunneeded":[73,89],"sensors\u201d":[74,90],"most":[77],"direct":[78],"way":[79],"reduce":[81,201],"consumption":[84],"networks.":[87],"Here,":[88],"refers":[91],"those":[93],"that":[94,168,196],"can":[95,200],"placed":[97],"sleep":[99],"mode,":[100],"or":[101],"even":[102],"removed":[104],"from":[105,164,169],"network":[107,131],"topology":[108],"entirely,":[109],"without":[110],"serious":[111],"impact":[112],"on":[113],"overall":[115],"data":[117,163],"processing":[118],"performance.":[119],"In":[120],"this":[121],"paper,":[122],"we":[123],"report":[124],"an":[128],"energy-efficient":[129],"using":[133],"machine":[135],"learning":[136,152],"model":[137,153],"determine":[139],"actual":[141],"necessity":[142],"all":[144],"network.":[150,225],"Machine":[151],"introduced":[155],"identify":[157],"unneeded":[158,172,176],"comparing":[161],"neighboring":[165],"potentially":[171],"ones.":[173],"For":[174],"identifying":[175],"sensors,":[177],"different":[178,181],"strategies":[179],"computational":[182],"complexity":[183],"also":[185],"proposed.":[186],"Numerical":[187],"experiments":[188],"conducted":[189],"two":[191],"real":[192],"indoor":[193],"environments":[194],"verify":[195],"our":[197],"proposed":[198],"scheme":[199],"active":[206],"around":[209],"1/3,":[210],"while":[211],"maintaining":[212],"more":[213],"than":[214],"90%":[215],"original":[218],"high":[219],"monitoring":[220],"performance":[221]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
