{"id":"https://openalex.org/W2189357100","doi":"https://doi.org/10.1109/wimob.2015.7348033","title":"Remote inference energy model for Internet of Things devices","display_name":"Remote inference energy model for Internet of Things devices","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2189357100","doi":"https://doi.org/10.1109/wimob.2015.7348033","mag":"2189357100"},"language":"en","primary_location":{"id":"doi:10.1109/wimob.2015.7348033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wimob.2015.7348033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)","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/A5051254589","display_name":"Vilen Looga","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Vilen Looga","raw_affiliation_strings":["Aalto-yliopisto Perustieteiden korkeakoulu, Aalto, FI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto-yliopisto Perustieteiden korkeakoulu, Aalto, FI","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065414422","display_name":"Zhonghong Ou","orcid":"https://orcid.org/0000-0001-9987-3175"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Zhonghong Ou","raw_affiliation_strings":["Aalto-yliopisto Perustieteiden korkeakoulu, Aalto, FI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto-yliopisto Perustieteiden korkeakoulu, Aalto, FI","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102984631","display_name":"Yang Deng","orcid":"https://orcid.org/0000-0002-4077-409X"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Yang Deng","raw_affiliation_strings":["Aalto-yliopisto Perustieteiden korkeakoulu, Aalto, FI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto-yliopisto Perustieteiden korkeakoulu, Aalto, FI","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034913796","display_name":"Antti Yl\u00e4-J\u00e4\u00e4ski","orcid":"https://orcid.org/0000-0002-2069-1721"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Antti-Yla-Jaaski","raw_affiliation_strings":["Aalto-yliopisto Perustieteiden korkeakoulu, Aalto, FI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto-yliopisto Perustieteiden korkeakoulu, Aalto, FI","institution_ids":["https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9927081"],"apc_list":null,"apc_paid":null,"fwci":0.7942,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68498032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"10","issue":null,"first_page":"716","last_page":"723"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":1.0,"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":1.0,"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/T12238","display_name":"Green IT and Sustainability","score":0.9962999820709229,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9962000250816345,"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/computer-science","display_name":"Computer science","score":0.8069930076599121},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6844922304153442},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6688443422317505},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6670845746994019},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6623930931091309},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5990918874740601},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4593930244445801},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4565129280090332},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4423852562904358},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.44082632660865784},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4092290997505188},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4084889888763428},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3851655125617981},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.20591256022453308},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11278200149536133},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10950973629951477}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8069930076599121},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6844922304153442},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6688443422317505},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6670845746994019},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6623930931091309},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5990918874740601},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4593930244445801},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4565129280090332},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4423852562904358},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.44082632660865784},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4092290997505188},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4084889888763428},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3851655125617981},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.20591256022453308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11278200149536133},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10950973629951477},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wimob.2015.7348033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wimob.2015.7348033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.699.9325","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.699.9325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://users.aalto.fi/%7Eouz1/Publications/WiMob15.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W54787442","https://openalex.org/W111780472","https://openalex.org/W1555478792","https://openalex.org/W2000687010","https://openalex.org/W2021065041","https://openalex.org/W2026293753","https://openalex.org/W2026472243","https://openalex.org/W2032085037","https://openalex.org/W2051158894","https://openalex.org/W2062284132","https://openalex.org/W2085429458","https://openalex.org/W2102372792","https://openalex.org/W2116429169","https://openalex.org/W2121030799","https://openalex.org/W2135325997","https://openalex.org/W2160343401","https://openalex.org/W2414209354","https://openalex.org/W2543419256","https://openalex.org/W6604472721","https://openalex.org/W6633104635","https://openalex.org/W6650538227","https://openalex.org/W6671907141","https://openalex.org/W6680095235","https://openalex.org/W6716151985","https://openalex.org/W7057303716"],"related_works":["https://openalex.org/W1975451135","https://openalex.org/W2890570089","https://openalex.org/W2989915292","https://openalex.org/W2295628284","https://openalex.org/W3148968234","https://openalex.org/W145760256","https://openalex.org/W2084724079","https://openalex.org/W2111773953","https://openalex.org/W179829755","https://openalex.org/W1993210935"],"abstract_inverted_index":{"Large":[0],"wireless":[1],"sensor":[2],"networks":[3],"(WSNs)":[4],"with":[5,83],"thousands":[6],"of":[7,16,24,54,64,70,79,112,140,150],"motes":[8,26,151],"are":[9],"expected":[10],"to":[11,34,38,136,147,157],"be":[12,57,73],"a":[13,76,84,92,120],"significant":[14,44,52],"part":[15],"the":[17,50,62,80,108,134,141,148,158],"future":[18,51],"connected":[19],"world.":[20],"As":[21],"battery":[22],"life":[23],"such":[25,113],"is":[27,32,91],"still":[28],"an":[29,186],"issue,":[30],"it":[31],"important":[33],"provide":[35],"scalable":[36],"methods":[37],"estimate":[39,137],"energy":[40,109,123,138,182],"usage":[41],"without":[42],"introducing":[43],"overhead.":[45],"We":[46],"foresee":[47],"that":[48,116],"in":[49],"amount":[53],"data":[55,71],"will":[56],"collected":[58,132],"and":[59,68,99,152,175,194],"inferred":[60],"on":[61,107,170,202],"behavior":[63,100],"motes.":[65,114],"Such":[66,143],"collection":[67],"inference":[69],"can":[72,184],"considered":[74],"as":[75],"virtual":[77,89],"representation":[78],"physical":[81],"mote,":[82],"potentially":[85],"longer":[86],"life-cycle.":[87],"The":[88,181],"mote":[90,159],"valuable":[93],"resource":[94],"for":[95,191,198],"application":[96],"development,":[97],"diagnostics":[98],"prediction.":[101],"In":[102],"this":[103],"paper,":[104],"we":[105,118],"focus":[106],"consumption":[110,139],"aspect":[111],"To":[115],"end,":[117],"develop":[119],"packet-based":[121],"real-time":[122],"model,":[124],"which":[125],"works":[126],"by":[127],"analyzing":[128],"network":[129,162],"traffic":[130],"traces":[131],"at":[133],"backend":[135],"mote.":[142],"approach":[144],"scales":[145],"well":[146],"number":[149],"does":[153],"not":[154],"require":[155],"modification":[156],"or":[160],"its":[161],"stack.":[163],"Experimental":[164],"results":[165],"from":[166],"extensive":[167],"measurements":[168],"conducted":[169],"two":[171],"platforms,":[172],"i.e.,":[173],"OpenMote":[174],"Zolertia":[176],"Z1,":[177],"demonstrate":[178],"promising":[179],"potential.":[180],"model":[183],"achieve":[185],"estimation":[187],"accuracy":[188,197],"over":[189,195],"90%":[190],"platform":[192],"power,":[193],"85%":[196],"radio":[199],"power":[200],"consumption,":[201],"various":[203],"scenarios.":[204]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}