{"id":"https://openalex.org/W3030980901","doi":"https://doi.org/10.1109/globecom42002.2020.9348131","title":"Exploiting Local and Cloud Sensor Fusion in Intermittently Connected Sensor Networks","display_name":"Exploiting Local and Cloud Sensor Fusion in Intermittently Connected Sensor Networks","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3030980901","doi":"https://doi.org/10.1109/globecom42002.2020.9348131","mag":"3030980901"},"language":"en","primary_location":{"id":"doi:10.1109/globecom42002.2020.9348131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom42002.2020.9348131","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2020 - 2020 IEEE Global Communications Conference","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2005.12495","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074718726","display_name":"Michal Yemini","orcid":"https://orcid.org/0000-0002-2087-1183"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michal Yemini","raw_affiliation_strings":["Stanford University, CA, USA","Stanford University ()"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, CA, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Stanford University ()","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000078920","display_name":"Stephanie Gil","orcid":"https://orcid.org/0000-0002-4951-5350"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephanie Gil","raw_affiliation_strings":["Harvard University, Cambridge, MA, USA","Harvard University ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I2801851002"]},{"raw_affiliation_string":"Harvard University ,","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074116801","display_name":"Andrea Goldsmith","orcid":"https://orcid.org/0000-0001-5686-800X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrea Goldsmith","raw_affiliation_strings":["Princeton University, Princeton, NJ, USA","Princeton University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Princeton University","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3242,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61443131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9872000217437744,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9868999719619751,"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/cloud-computing","display_name":"Cloud computing","score":0.7048537731170654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6674568057060242},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6398364901542664},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6102282404899597},{"id":"https://openalex.org/keywords/fusion-center","display_name":"Fusion center","score":0.6003686785697937},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5724431276321411},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5449106693267822},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5121878981590271},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.48963624238967896},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.484548956155777},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4152792692184448},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.30024003982543945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2221665382385254},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.17289331555366516},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.16537028551101685},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11961603164672852}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7048537731170654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6674568057060242},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6398364901542664},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6102282404899597},{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.6003686785697937},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5724431276321411},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5449106693267822},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5121878981590271},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.48963624238967896},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.484548956155777},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4152792692184448},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.30024003982543945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2221665382385254},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.17289331555366516},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.16537028551101685},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11961603164672852},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/globecom42002.2020.9348131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom42002.2020.9348131","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2020 - 2020 IEEE Global Communications Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2005.12495","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.12495","pdf_url":"https://arxiv.org/pdf/2005.12495","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2005.12495","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2005.12495","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:3030980901","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2005.12495","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.12495","pdf_url":"https://arxiv.org/pdf/2005.12495","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G5137498676","display_name":"CAREER: Multi-Agent Decision Making and Optimization using Communication as a Sensor","funder_award_id":"1845225","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3030980901.pdf","grobid_xml":"https://content.openalex.org/works/W3030980901.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1502739482","https://openalex.org/W1506292992","https://openalex.org/W1965392255","https://openalex.org/W1991056455","https://openalex.org/W2007641398","https://openalex.org/W2008740515","https://openalex.org/W2045230329","https://openalex.org/W2059355691","https://openalex.org/W2063801303","https://openalex.org/W2095818990","https://openalex.org/W2095843437","https://openalex.org/W2110998393","https://openalex.org/W2138020668","https://openalex.org/W2139043285","https://openalex.org/W2144052787","https://openalex.org/W2164293167","https://openalex.org/W2245006243","https://openalex.org/W2337330101","https://openalex.org/W2748130395","https://openalex.org/W2793923452","https://openalex.org/W2913006991","https://openalex.org/W2963583412","https://openalex.org/W3027938873","https://openalex.org/W4247201904"],"related_works":["https://openalex.org/W3129544360","https://openalex.org/W3204464124","https://openalex.org/W2599743022","https://openalex.org/W2006325739","https://openalex.org/W2010997284","https://openalex.org/W2973008772","https://openalex.org/W2043139329","https://openalex.org/W2539450866","https://openalex.org/W2555123511","https://openalex.org/W2554949776","https://openalex.org/W3110159834","https://openalex.org/W2145400916","https://openalex.org/W2338004272","https://openalex.org/W2803491821","https://openalex.org/W2021800178","https://openalex.org/W3011465698","https://openalex.org/W2994368172","https://openalex.org/W341946480","https://openalex.org/W2113278469","https://openalex.org/W2235333081"],"abstract_inverted_index":{"We":[0,101,141],"consider":[1],"a":[2,15,76,88,109,193,203],"detection":[3,35,59,162,197],"problem":[4,25],"where":[5,49,75,119],"sensors":[6,40,46,121,175],"experience":[7],"noisy":[8,53,120],"measurements":[9],"and":[10,157],"intermittent":[11],"communication":[12,106,132,185,205],"opportunities":[13],"to":[14,27,56,72,86,103,125,138,147,178],"centralized":[16,77],"fusion":[17,78],"center":[18,79],"(or":[19],"cloud).":[20],"The":[21,39],"objective":[22],"of":[23,33,60,94,117,183],"the":[24,30,37,58,73,92,95,98,113,126,160,174,181,188],"is":[26,199],"arrive":[28,148],"at":[29,149],"correct":[31],"estimate":[32,57],"event":[34,62,96],"in":[36,129,180,196],"environment.":[38],"may":[41],"communicate":[42,71],"locally":[43],"with":[44,187],"other":[45],"(local":[47],"clusters)":[48],"they":[50],"fuse":[51],"their":[52],"sensor":[54,67,84],"data":[55],"an":[61,150],"locally.":[63],"In":[64],"addition,":[65],"each":[66,155],"cluster":[68,156],"can":[69],"intermittently":[70,123],"cloud,":[74,127],"fuses":[80],"estimates":[81],"from":[82,165],"all":[83],"clusters":[85],"make":[87],"final":[89],"determination":[90],"regarding":[91],"occurrence":[93],"across":[97],"deployment":[99],"area.":[100],"refer":[102],"this":[104],"hybrid":[105,131,167],"scheme":[107],"as":[108,128],"cloud-cluster":[110,210],"architecture.":[111,211],"Minimizing":[112],"expected":[114,161],"loss":[115],"function":[116],"networks":[118],"are":[122],"connected":[124],"our":[130,139,166,209],"scheme,":[133],"has":[134],"not":[135],"been":[136],"investigated":[137],"knowledge.":[140],"leverage":[142],"recently":[143],"improved":[144],"concentration":[145],"inequalities":[146],"optimized":[151],"decision":[152],"rule":[153],"for":[154,202],"we":[158],"analyze":[159],"performance":[163,198],"resulting":[164],"scheme.":[168],"Our":[169],"analysis":[170],"shows":[171],"that":[172],"clustering":[173],"provides":[176],"resilience":[177],"noise":[179],"case":[182],"low":[184,204],"probability":[186,206],"cloud.":[189],"For":[190],"larger":[191],"clusters,":[192],"steep":[194],"improvement":[195],"possible":[200],"even":[201],"by":[207],"using":[208]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}