{"id":"https://openalex.org/W4412107092","doi":"https://doi.org/10.1109/tmc.2025.3586882","title":"Resource-Efficient Sensor Fusion at the Edge via System-Wide Dynamic Gated Neural Networks","display_name":"Resource-Efficient Sensor Fusion at the Edge via System-Wide Dynamic Gated Neural Networks","publication_year":2025,"publication_date":"2025-07-08","ids":{"openalex":"https://openalex.org/W4412107092","doi":"https://doi.org/10.1109/tmc.2025.3586882"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2025.3586882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3586882","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-05448895","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 sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Chetna Singhal","raw_affiliation_strings":["INRIA, University of Rennes, Rennes, France","INRIA, France"],"raw_orcid":"https://orcid.org/0000-0002-4712-8162","affiliations":[{"raw_affiliation_string":"INRIA, University of Rennes, Rennes, France","institution_ids":["https://openalex.org/I56067802","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"INRIA, France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092215945","display_name":"Yashuo Wu","orcid":"https://orcid.org/0000-0001-7055-9107"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yashuo Wu","raw_affiliation_strings":["University of California, Irvine, CA, USA","University of California, Irvine, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]},{"raw_affiliation_string":"University of California, Irvine, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"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":"Francesco Malandrino","raw_affiliation_strings":["CNR-IEIIT, Torino, Italy","CNR-IEIIT, CNIT, Italy"],"raw_orcid":"https://orcid.org/0000-0003-0458-2004","affiliations":[{"raw_affiliation_string":"CNR-IEIIT, Torino, Italy","institution_ids":["https://openalex.org/I4210100607"]},{"raw_affiliation_string":"CNR-IEIIT, CNIT, Italy","institution_ids":["https://openalex.org/I4210100607"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sharon G. L. Contreras","orcid":null},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sharon G. L. Contreras","raw_affiliation_strings":["University of California, Irvine, CA, USA","University of California, Irvine, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]},{"raw_affiliation_string":"University of California, Irvine, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"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/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marco Levorato","raw_affiliation_strings":["University of California, Irvine, CA, USA","University of California, Irvine, USA"],"raw_orcid":"https://orcid.org/0000-0002-6920-4189","affiliations":[{"raw_affiliation_string":"University of California, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]},{"raw_affiliation_string":"University of California, Irvine, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"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/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":"Carla Fabiana Chiasserini","raw_affiliation_strings":["CNR-IEIIT, Torino, Italy","CNR-IEIIT, CNIT, Italy"],"raw_orcid":"https://orcid.org/0000-0003-1410-660X","affiliations":[{"raw_affiliation_string":"CNR-IEIIT, Torino, Italy","institution_ids":["https://openalex.org/I4210100607"]},{"raw_affiliation_string":"CNR-IEIIT, CNIT, Italy","institution_ids":["https://openalex.org/I4210100607"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5061838929"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I56067802"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07593422,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"12","first_page":"13243","last_page":"13257"},"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":0.951200008392334,"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":0.951200008392334,"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":0.9079999923706055,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9034000039100647,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8128652572631836},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4711681008338928},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.46623891592025757},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46552368998527527},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4328749179840088},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3830966353416443},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3814992308616638},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20564448833465576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19779697060585022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8128652572631836},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4711681008338928},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.46623891592025757},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46552368998527527},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4328749179840088},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3830966353416443},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3814992308616638},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20564448833465576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19779697060585022}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmc.2025.3586882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3586882","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-05448895v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-05448895","pdf_url":null,"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":"IEEE Transactions on Mobile Computing, 2025, 24 (12), pp.13243-13257. &#x27E8;10.1109/TMC.2025.3586882&#x27E9;","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-05448895v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-05448895","pdf_url":null,"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":"IEEE Transactions on Mobile Computing, 2025, 24 (12), pp.13243-13257. &#x27E8;10.1109/TMC.2025.3586882&#x27E9;","raw_type":"Journal articles"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.44999998807907104,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G3867136775","display_name":null,"funder_award_id":"CCF 2140154","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W11724259","https://openalex.org/W2031489346","https://openalex.org/W2045319200","https://openalex.org/W2052748263","https://openalex.org/W2146268021","https://openalex.org/W2194775991","https://openalex.org/W2321307031","https://openalex.org/W2335223849","https://openalex.org/W2336829997","https://openalex.org/W2554616628","https://openalex.org/W2775965637","https://openalex.org/W2798722023","https://openalex.org/W2921749793","https://openalex.org/W2943121866","https://openalex.org/W2951360122","https://openalex.org/W2953952186","https://openalex.org/W2962677625","https://openalex.org/W2981114133","https://openalex.org/W2988452521","https://openalex.org/W3047565185","https://openalex.org/W3049586678","https://openalex.org/W3089217822","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/W4283725727","https://openalex.org/W4293261737","https://openalex.org/W4312334299","https://openalex.org/W4390872623","https://openalex.org/W4399081615","https://openalex.org/W4401508022","https://openalex.org/W4407949708","https://openalex.org/W4408898027"],"related_works":["https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2375008505","https://openalex.org/W1982750869","https://openalex.org/W2085756966","https://openalex.org/W2350679292","https://openalex.org/W2086348228","https://openalex.org/W4390653028"],"abstract_inverted_index":{"Next-generation":[0],"mobile":[1],"systems":[2],"will":[3],"support":[4],"multiple":[5],"AI-based":[6],"applications,":[7],"each":[8],"leveraging":[9],"heterogeneous":[10],"sensors":[11],"and":[12,44,66,80,98,161,167,177,180,193,203,205],"data":[13],"sources":[14,65],"through":[15],"deep":[16],"neural":[17,94],"network":[18,73],"(DNN)":[19],"architectures":[20],"collaboratively":[21],"executed":[22],"within":[23],"the":[24,31,34,52,61,68,72,78,82,121,125,128,140,171,191],"network.":[25],"In":[26],"this":[27,138],"context,":[28],"to":[29,39,58,84,130],"minimize":[30,131],"cost":[32],"of":[33,51,63,77,124],"AI":[35],"inference":[36,53,132],"task":[37],"subject":[38],"requirements":[40,207],"on":[41,119,170],"latency,":[42],"quality,":[43],"\u2013":[45,47],"crucially":[46],"<italic":[48],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[49],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">reliability</i>":[50],"process,":[54],"it":[55],"is":[56,139],"vital":[57],"optimize":[59],"(i)":[60],"set":[62],"sensors/data":[64],"(ii)":[67],"DNN":[69,158],"architecture,":[70],"(iii)":[71],"nodes":[74],"executing":[75],"sections":[76],"DNN,":[79],"(iv)":[81],"resources":[83],"use.":[85],"To":[86],"achieve":[87],"these":[88],"goals,":[89],"we":[90],"leverage":[91],"dynamic":[92,145,156],"gated":[93,144,157],"networks":[95],"with":[96,127,147,159],"branches,":[97],"propose":[99],"a":[100,155],"novel":[101],"algorithmic":[102],"strategy":[103],"called":[104],"Quantile-constrained":[105],"Inference":[106],"(QIC),":[107],"based":[108],"upon":[109],"quantile-Constrained":[110],"policy":[111],"optimization.":[112],"QIC":[113,153,188],"makes":[114],"joint,":[115],"high-quality,":[116],"swift":[117],"decisions":[118],"all":[120],"above":[122],"aspects":[123],"system,":[126],"aim":[129],"energy":[133,199],"cost.":[134],"We":[135,151],"remark":[136],"that":[137,187],"first":[141],"contribution":[142],"connecting":[143],"DNNs":[146],"infrastructure-level":[148],"decision":[149],"making.":[150],"evaluate":[152],"using":[154],"stems":[160],"branches":[162],"for":[163],"optimal":[164],"sensor":[165],"fusion":[166],"inference,":[168],"trained":[169],"RADIATE":[172],"dataset":[173],"offering":[174],"Radar,":[175],"LiDAR,":[176],"Camera":[178],"data,":[179],"real-world":[181],"wireless":[182],"measurements.":[183],"Our":[184],"results":[185],"confirm":[186],"closely":[189],"matches":[190],"optimum":[192],"outperforms":[194],"existing":[195],"approaches":[196],"in":[197],"reducing":[198],"consumption":[200],"(compute,":[201],"communication,":[202],"total)":[204],"application":[206],"failure":[208],"by":[209],"over":[210],"70%.":[211]},"counts_by_year":[],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
