{"id":"https://openalex.org/W4408898027","doi":"https://doi.org/10.1109/secon64284.2024.10934843","title":"Resource-Efficient Sensor Fusion via System-Wide Dynamic Gated Neural Networks","display_name":"Resource-Efficient Sensor Fusion via System-Wide Dynamic Gated Neural Networks","publication_year":2024,"publication_date":"2024-12-02","ids":{"openalex":"https://openalex.org/W4408898027","doi":"https://doi.org/10.1109/secon64284.2024.10934843"},"language":"en","primary_location":{"id":"doi:10.1109/secon64284.2024.10934843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/secon64284.2024.10934843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 21st Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-05448914v1/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061838929","display_name":"Chetna Singhal","orcid":"https://orcid.org/0000-0002-4712-8162"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"C. Singhal","raw_affiliation_strings":["INRIA,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA,France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102737709","display_name":"Yiwen Wu","orcid":"https://orcid.org/0000-0003-0241-7988"},"institutions":[{"id":"https://openalex.org/I4210137750","display_name":"UC Irvine Health","ror":"https://ror.org/03fgher32","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210137750"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y. Wu","raw_affiliation_strings":["UC Irvine,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Irvine,USA","institution_ids":["https://openalex.org/I4210137750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035651305","display_name":"Francesco Malandrino","orcid":"https://orcid.org/0000-0003-0458-2004"},"institutions":[{"id":"https://openalex.org/I4210100607","display_name":"Institute of Electronics, Computer and Telecommunication Engineering","ror":"https://ror.org/00n4jbh84","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"F. Malandrino","raw_affiliation_strings":["CNR-IEIIT,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNR-IEIIT,Italy","institution_ids":["https://openalex.org/I4210100607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102647061","display_name":"Sharon Ladron de Guevara Contreras","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137750","display_name":"UC Irvine Health","ror":"https://ror.org/03fgher32","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210137750"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Ladron de Guevara Contreras","raw_affiliation_strings":["UC Irvine,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Irvine,USA","institution_ids":["https://openalex.org/I4210137750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051196445","display_name":"Marco Levorato","orcid":"https://orcid.org/0000-0002-6920-4189"},"institutions":[{"id":"https://openalex.org/I4210137750","display_name":"UC Irvine Health","ror":"https://ror.org/03fgher32","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210137750"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Levorato","raw_affiliation_strings":["UC Irvine,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Irvine,USA","institution_ids":["https://openalex.org/I4210137750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021780258","display_name":"Carla Fabiana Chiasserini","orcid":"https://orcid.org/0000-0003-1410-660X"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"C. F. Chiasserini","raw_affiliation_strings":["Politecnico di Torino,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5061838929"],"corresponding_institution_ids":["https://openalex.org/I1326498283"],"apc_list":null,"apc_paid":null,"fwci":0.972,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81618158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9413999915122986,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9413999915122986,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9003999829292297,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.6884710788726807},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5169721841812134},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.49593719840049744},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49295783042907715},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4407273530960083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2548907995223999},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18459001183509827}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6884710788726807},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5169721841812134},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.49593719840049744},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49295783042907715},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4407273530960083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2548907995223999},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18459001183509827},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/secon64284.2024.10934843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/secon64284.2024.10934843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 21st Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-05448914v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-05448914","pdf_url":"https://inria.hal.science/hal-05448914v1/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SECON 2024 - 21st Annual IEEE International Conference on Sensing, Communication, and Networking, Dec 2024, Phoenix, United States. pp.1-9, &#x27E8;10.1109/SECON64284.2024.10934843&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-05448914v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-05448914","pdf_url":"https://inria.hal.science/hal-05448914v1/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SECON 2024 - 21st Annual IEEE International Conference on Sensing, Communication, and Networking, Dec 2024, Phoenix, United States. pp.1-9, &#x27E8;10.1109/SECON64284.2024.10934843&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G2131468626","display_name":null,"funder_award_id":"E13C22001870001","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2700586316","display_name":"Collaborative Research: NeTS: Small: Reliable Task Offloading in Mobile Autonomous Systems Through Semantic MU-MIMO Control","funder_award_id":"2134567","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3236557044","display_name":null,"funder_award_id":"101139266","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7205771190","display_name":null,"funder_award_id":"PE00000001","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408898027.pdf"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W2045319200","https://openalex.org/W2052748263","https://openalex.org/W2194775991","https://openalex.org/W2798722023","https://openalex.org/W2981114133","https://openalex.org/W2988452521","https://openalex.org/W3134255974","https://openalex.org/W3204647170","https://openalex.org/W3206598848","https://openalex.org/W3207895616","https://openalex.org/W3215748189","https://openalex.org/W4283395662","https://openalex.org/W4293261737","https://openalex.org/W4401508022","https://openalex.org/W6741002519","https://openalex.org/W6846838650"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Mobile":[0],"systems":[1],"will":[2],"have":[3],"to":[4,32,49,75,120],"support":[5],"multiple":[6],"AI-based":[7],"applications,":[8],"each":[9],"leveraging":[10],"heterogeneous":[11],"data":[12],"sources":[13,56],"through":[14],"DNN":[15,60,148],"architectures":[16],"collaboratively":[17],"executed":[18],"within":[19],"the":[20,24,27,43,52,59,63,69,73,111,115,118,130,161,180],"network.":[21],"To":[22,77],"minimize":[23,121],"cost":[25],"of":[26,42,54,68,114],"AI":[28],"inference":[29,44,122],"task":[30],"subject":[31],"requirements":[33],"on":[34,109,160],"latency,":[35],"quality,":[36],"and":[37,57,71,88,151,157,167,170,182],"-":[38,40],"crucially":[39],"reliability":[41],"process,":[45],"it":[46],"is":[47,129],"vital":[48],"optimize":[50],"(i)":[51],"set":[53],"sensors/data":[55],"(ii)":[58],"architecture,":[61],"(iii)":[62],"network":[64],"nodes":[65],"executing":[66],"sections":[67],"DNN,":[70],"(iv)":[72],"resources":[74],"use.":[76],"this":[78,128],"end,":[79],"we":[80],"leverage":[81],"dynamic":[82,135,146],"gated":[83,134,147],"neural":[84],"networks":[85],"with":[86,117,137,149],"branches,":[87],"propose":[89],"a":[90,145],"novel":[91],"algorithmic":[92],"strategy":[93],"called":[94],"Quantile-constrained":[95],"Inference":[96],"(QIC),":[97],"based":[98],"upon":[99],"quantile-Constrained":[100],"policy":[101],"optimization.":[102],"QIC":[103,143,178],"makes":[104],"joint,":[105],"high-quality,":[106],"swift":[107],"decisions":[108],"all":[110],"above":[112],"aspects":[113],"system,":[116],"aim":[119],"energy":[123],"cost.":[124],"We":[125,141],"remark":[126],"that":[127,177],"first":[131],"contribution":[132],"connecting":[133],"DNNs":[136],"infrastructure-level":[138],"decision":[139],"making.":[140],"evaluate":[142],"using":[144],"stems":[150],"branches":[152],"for":[153],"optimal":[154],"sensor":[155],"fusion":[156],"inference,":[158],"trained":[159],"RADIATE":[162],"dataset":[163],"offering":[164],"Radar,":[165],"LiDAR,":[166],"Camera":[168],"data,":[169],"real-world":[171],"wireless":[172],"measurements.":[173],"Our":[174],"results":[175],"confirm":[176],"matches":[179],"optimum":[181],"outperforms":[183],"its":[184],"alternatives":[185],"by":[186],"over":[187],"80%.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
