{"id":"https://openalex.org/W4221010870","doi":"https://doi.org/10.1145/3508396.3512870","title":"Logic-based intelligence for batteryless sensors","display_name":"Logic-based intelligence for batteryless sensors","publication_year":2022,"publication_date":"2022-03-05","ids":{"openalex":"https://openalex.org/W4221010870","doi":"https://doi.org/10.1145/3508396.3512870"},"language":"en","primary_location":{"id":"doi:10.1145/3508396.3512870","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3508396.3512870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications","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/A5101464678","display_name":"Abu Bakar","orcid":"https://orcid.org/0000-0003-0757-7454"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abu Bakar","raw_affiliation_strings":["Northwestern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091899533","display_name":"Tousif Rahman","orcid":"https://orcid.org/0000-0001-8669-010X"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tousif Rahman","raw_affiliation_strings":["Newcastle University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101566671","display_name":"Alessandro Montanari","orcid":"https://orcid.org/0000-0003-4444-6242"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alessandro Montanari","raw_affiliation_strings":["Nokia Bell Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324371","display_name":"Jie Lei","orcid":"https://orcid.org/0000-0002-9998-9503"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jie Lei","raw_affiliation_strings":["Polytechnical University of Valencia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Polytechnical University of Valencia","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077777787","display_name":"Rishad Shafik","orcid":"https://orcid.org/0000-0001-5444-537X"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rishad Shafik","raw_affiliation_strings":["Newcastle University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053438231","display_name":"Fahim Kawsar","orcid":"https://orcid.org/0000-0001-5057-9557"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fahim Kawsar","raw_affiliation_strings":["Nokia Bell Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2003,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.77332792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"22","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9944999814033508,"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"}},"topics":[{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9944999814033508,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.988099992275238,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9836000204086304,"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/computer-science","display_name":"Computer science","score":0.8187382221221924},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.8055810928344727},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6267030835151672},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5604389905929565},{"id":"https://openalex.org/keywords/microcontroller","display_name":"Microcontroller","score":0.5542558431625366},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.5244218111038208},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.4955073595046997},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.47778186202049255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4483451247215271},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.44411951303482056},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.41543978452682495},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.41126304864883423},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.40528690814971924},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3809053599834442},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37582772970199585},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3466125726699829}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8187382221221924},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.8055810928344727},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6267030835151672},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5604389905929565},{"id":"https://openalex.org/C173018170","wikidata":"https://www.wikidata.org/wiki/Q165678","display_name":"Microcontroller","level":2,"score":0.5542558431625366},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.5244218111038208},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.4955073595046997},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.47778186202049255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4483451247215271},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.44411951303482056},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.41543978452682495},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.41126304864883423},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.40528690814971924},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3809053599834442},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37582772970199585},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3466125726699829},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3508396.3512870","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3508396.3512870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2010689540","https://openalex.org/W2024338138","https://openalex.org/W2546724727","https://openalex.org/W2761242776","https://openalex.org/W2793307717","https://openalex.org/W2897303255","https://openalex.org/W2898269841","https://openalex.org/W2972538264","https://openalex.org/W2987383153","https://openalex.org/W3010948937","https://openalex.org/W3043722257","https://openalex.org/W3108788300","https://openalex.org/W3113776809","https://openalex.org/W3153509840","https://openalex.org/W3201279873"],"related_works":["https://openalex.org/W2948148442","https://openalex.org/W2461250372","https://openalex.org/W2394342941","https://openalex.org/W2169853506","https://openalex.org/W2547124190","https://openalex.org/W1558425494","https://openalex.org/W2350586049","https://openalex.org/W2385628723","https://openalex.org/W2169871401","https://openalex.org/W3008492011"],"abstract_inverted_index":{"The":[0],"emergence":[1],"of":[2,10,26,29,102,107],"embedded":[3],"machine":[4],"learning":[5,44],"has":[6],"enabled":[7],"the":[8,13,16,20,24,42,47,103,141,165],"migration":[9],"intelligence":[11],"from":[12],"cloud":[14],"to":[15,19,41,95,145,161,164],"edge":[17],"and":[18,57,124,131,156,170],"sensors.":[21],"To":[22,110],"explore":[23],"practicalities":[25],"wide-spread":[27],"deployments":[28],"these":[30],"intelligent":[31],"sensors,":[32],"we":[33,71,114],"look":[34],"beyond":[35],"traditional":[36],"arithmetic-based":[37],"neural":[38,179],"networks":[39],"(NNs)":[40],"logic-based":[43],"algorithm":[45],"called":[46],"Tsetlin":[48,167],"Machine":[49,168],"(TM).":[50],"TMs":[51,128],"have":[52],"not":[53,93],"yet":[54],"been":[55],"implemented":[56],"explored":[58],"on":[59,98,121],"general":[60],"purpose":[61],"microcontrollers":[62],"especially":[63],"that":[64,73,136],"are":[65,92],"intermittently":[66],"powered.":[67],"In":[68],"this":[69,112],"paper,":[70],"argue":[72],"their":[74,88],"simple":[75],"architecture":[76],"makes":[77],"them":[78],"a":[79,116],"promising":[80,172],"candidate":[81],"for":[82,129],"batteryless":[83],"ML":[84],"systems.":[85],"However,":[86],"in":[87],"current":[89],"form,":[90],"they":[91],"suitable":[94],"be":[96],"deployed":[97],"resource-constrained":[99],"sensors":[100],"because":[101],"substantial":[104],"memory":[105,154],"footprint":[106,155],"trained":[108],"models.":[109],"tackle":[111],"issue,":[113],"propose":[115],"lossless":[117],"compression":[118],"scheme":[119],"based":[120],"run-length":[122],"encoding":[123,138],"evaluate":[125],"against":[126,177],"standard":[127],"vision":[130],"acoustic":[132],"workloads.":[133],"We":[134],"show":[135],"our":[137],"can":[139],"compress":[140],"model":[142],"by":[143],"up":[144],"99%":[146],"without":[147],"accuracy":[148],"loss.":[149],"This":[150],"translates":[151],"into":[152],"lower":[153],"better":[157],"energy":[158],"efficiency":[159],"(up":[160],"4.9x)":[162],"compared":[163,176],"original":[166],"algorithm,":[169],"provides":[171],"trade":[173],"offs":[174],"when":[175],"binary":[178],"networks.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
