{"id":"https://openalex.org/W4315783137","doi":"https://doi.org/10.1109/gcwkshps56602.2022.10008616","title":"A Full-Stack Neuromorphic Prototype Architecture for Low-Power Wireless Sensors","display_name":"A Full-Stack Neuromorphic Prototype Architecture for Low-Power Wireless Sensors","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4315783137","doi":"https://doi.org/10.1109/gcwkshps56602.2022.10008616"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps56602.2022.10008616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps56602.2022.10008616","pdf_url":null,"source":{"id":"https://openalex.org/S4363605011","display_name":"2022 IEEE Globecom Workshops (GC Wkshps)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Globecom Workshops (GC Wkshps)","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/A5019914265","display_name":"Andr\u00e1s R\u00e1cz","orcid":"https://orcid.org/0000-0002-9466-3459"},"institutions":[{"id":"https://openalex.org/I4210131589","display_name":"Ericsson (Hungary)","ror":"https://ror.org/03c0yyz21","country_code":"HU","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210131589"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Andras Racz","raw_affiliation_strings":["Ericsson Research,Budapest,Hungary","Ericsson Research, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Ericsson Research,Budapest,Hungary","institution_ids":["https://openalex.org/I4210131589"]},{"raw_affiliation_string":"Ericsson Research, Budapest, Hungary","institution_ids":["https://openalex.org/I4210131589"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017036718","display_name":"Andr\u00e1s Veres","orcid":"https://orcid.org/0000-0003-0518-7452"},"institutions":[{"id":"https://openalex.org/I4210131589","display_name":"Ericsson (Hungary)","ror":"https://ror.org/03c0yyz21","country_code":"HU","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210131589"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Andras Veres","raw_affiliation_strings":["Ericsson Research,Budapest,Hungary","Ericsson Research, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Ericsson Research,Budapest,Hungary","institution_ids":["https://openalex.org/I4210131589"]},{"raw_affiliation_string":"Ericsson Research, Budapest, Hungary","institution_ids":["https://openalex.org/I4210131589"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031234723","display_name":"P\u00e9ter H\u00e1ga","orcid":"https://orcid.org/0000-0002-1952-343X"},"institutions":[{"id":"https://openalex.org/I4210131589","display_name":"Ericsson (Hungary)","ror":"https://ror.org/03c0yyz21","country_code":"HU","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210131589"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Peter Haga","raw_affiliation_strings":["Ericsson Research,Budapest,Hungary","Ericsson Research, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Ericsson Research,Budapest,Hungary","institution_ids":["https://openalex.org/I4210131589"]},{"raw_affiliation_string":"Ericsson Research, Budapest, Hungary","institution_ids":["https://openalex.org/I4210131589"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062212122","display_name":"Tam\u00e1s Borsos","orcid":"https://orcid.org/0000-0001-9785-9839"},"institutions":[{"id":"https://openalex.org/I4210131589","display_name":"Ericsson (Hungary)","ror":"https://ror.org/03c0yyz21","country_code":"HU","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210131589"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Tamas Borsos","raw_affiliation_strings":["Ericsson Research,Budapest,Hungary","Ericsson Research, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Ericsson Research,Budapest,Hungary","institution_ids":["https://openalex.org/I4210131589"]},{"raw_affiliation_string":"Ericsson Research, Budapest, Hungary","institution_ids":["https://openalex.org/I4210131589"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001797133","display_name":"Zsolt Kenesi","orcid":"https://orcid.org/0000-0002-0617-2992"},"institutions":[{"id":"https://openalex.org/I4210131589","display_name":"Ericsson (Hungary)","ror":"https://ror.org/03c0yyz21","country_code":"HU","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210131589"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Zsolt Kenesi","raw_affiliation_strings":["Ericsson Research,Budapest,Hungary","Ericsson Research, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Ericsson Research,Budapest,Hungary","institution_ids":["https://openalex.org/I4210131589"]},{"raw_affiliation_string":"Ericsson Research, Budapest, Hungary","institution_ids":["https://openalex.org/I4210131589"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5019914265"],"corresponding_institution_ids":["https://openalex.org/I4210131589"],"apc_list":null,"apc_paid":null,"fwci":0.9667,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73463239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"353","last_page":"358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9979000091552734,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9796276688575745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7218680381774902},{"id":"https://openalex.org/keywords/protocol-stack","display_name":"Protocol stack","score":0.6768631339073181},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.633298397064209},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.5751662850379944},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4893459677696228},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.48933786153793335},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4857123792171478},{"id":"https://openalex.org/keywords/software-defined-radio","display_name":"Software-defined radio","score":0.47083330154418945},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4171893894672394},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3273467421531677},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.26971709728240967},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.19350579380989075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18731161952018738},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16260313987731934},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12447676062583923},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.091555655002594}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9796276688575745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7218680381774902},{"id":"https://openalex.org/C38601921","wikidata":"https://www.wikidata.org/wiki/Q1757693","display_name":"Protocol stack","level":3,"score":0.6768631339073181},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.633298397064209},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5751662850379944},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4893459677696228},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.48933786153793335},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4857123792171478},{"id":"https://openalex.org/C171115542","wikidata":"https://www.wikidata.org/wiki/Q1331892","display_name":"Software-defined radio","level":2,"score":0.47083330154418945},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4171893894672394},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3273467421531677},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26971709728240967},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19350579380989075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18731161952018738},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16260313987731934},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12447676062583923},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.091555655002594}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcwkshps56602.2022.10008616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps56602.2022.10008616","pdf_url":null,"source":{"id":"https://openalex.org/S4363605011","display_name":"2022 IEEE Globecom Workshops (GC Wkshps)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2163288878","https://openalex.org/W2176749394","https://openalex.org/W2247854918","https://openalex.org/W2596998695","https://openalex.org/W2749476078","https://openalex.org/W2798690537","https://openalex.org/W2982632705","https://openalex.org/W3099544558","https://openalex.org/W3139657805","https://openalex.org/W3172398108","https://openalex.org/W3183719272","https://openalex.org/W4205199576","https://openalex.org/W4238614602","https://openalex.org/W4285114820"],"related_works":["https://openalex.org/W2986579802","https://openalex.org/W4389237622","https://openalex.org/W3108691306","https://openalex.org/W4385753159","https://openalex.org/W4200152843","https://openalex.org/W4214914769","https://openalex.org/W4387251107","https://openalex.org/W2166309310","https://openalex.org/W4297621941","https://openalex.org/W4284965876"],"abstract_inverted_index":{"One":[0],"emerging":[1],"trend":[2],"in":[3,25,43,55],"the":[4,20,37,58,86,92,105,144],"evolution":[5],"of":[6,27,62,85,127],"sensor":[7,38,87,130],"technology":[8,73],"is":[9,39],"to":[10,103],"perform":[11],"Artificial":[12],"Intelligence":[13],"(AI)":[14],"based":[15],"data":[16],"processing":[17,95],"already":[18],"on":[19,88,115,157],"sensor.":[21],"The":[22,69],"benefits":[23],"are":[24],"terms":[26],"reduced":[28,33],"upstream":[29],"communication":[30,93,107,137],"load":[31],"or":[32],"reaction":[34],"times":[35],"when":[36],"applied":[40],"for":[41],"example,":[42],"some":[44],"time":[45],"critical":[46],"control":[47],"loop.":[48],"Such":[49],"developments,":[50],"however,":[51],"may":[52,74],"easily":[53],"get":[54],"conflict":[56],"with":[57,139,163],"equally":[59],"important":[60],"requirement":[61],"energy":[63],"efficiency":[64],"and":[65,132,147],"low":[66],"power":[67],"operation.":[68],"brain":[70],"inspired":[71],"neuromorphic":[72,89,116,124,154,160],"resolve":[75],"this":[76,99,119],"conflict,":[77],"if":[78],"we":[79,101,121,133],"can":[80],"put":[81],"all":[82],"computation":[83],"tasks":[84],"principles,":[90],"including":[91,109],"related":[94],"as":[96],"well.":[97],"For":[98],"purpose,":[100],"need":[102],"rebuild":[104],"entire":[106],"stack,":[108],"information":[110],"encoding,":[111],"protocols,":[112],"radio":[113,145],"algorithms":[114,155],"basis.":[117],"In":[118],"paper":[120],"show":[122],"a":[123,136,140,158],"native":[125],"design":[126],"an":[128],"end-to-end":[129],"application":[131],"exemplify":[134],"such":[135],"stack":[138],"prototype":[141],"implementation,":[142],"where":[143],"algorithm":[146],"protocol":[148],"components":[149],"have":[150],"been":[151],"replaced":[152],"by":[153],"implemented":[156],"real":[159],"chip":[161],"combined":[162],"Software":[164],"Defined":[165],"Radio":[166],"(SDR)":[167],"hardware.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}