{"id":"https://openalex.org/W2733304588","doi":"https://doi.org/10.1109/sahcn.2017.7964938","title":"Bandwidth-Aware Data Filtering in Edge-Assisted Wireless Sensor Systems","display_name":"Bandwidth-Aware Data Filtering in Edge-Assisted Wireless Sensor Systems","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2733304588","doi":"https://doi.org/10.1109/sahcn.2017.7964938","mag":"2733304588"},"language":"en","primary_location":{"id":"doi:10.1109/sahcn.2017.7964938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sahcn.2017.7964938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","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/A5019519909","display_name":"Igor Burago","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Igor Burago","raw_affiliation_strings":["Department of Computer Science, University of California"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051196445","display_name":"Marco Levorato","orcid":"https://orcid.org/0000-0002-6920-4189"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marco Levorato","raw_affiliation_strings":["Department of Computer Science, University of California"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055969617","display_name":"Aakanksha Chowdhery","orcid":"https://orcid.org/0000-0002-0628-5225"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aakanksha Chowdhery","raw_affiliation_strings":["Department of Computer Science, University of California"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019519909"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8288,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76236727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9983000159263611,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9983000159263611,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9945999979972839,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9922999739646912,"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":0.8299837112426758},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5832893252372742},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.49892210960388184},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.49216026067733765},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.49182724952697754},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4588800370693207},{"id":"https://openalex.org/keywords/dynamic-bandwidth-allocation","display_name":"Dynamic bandwidth allocation","score":0.44359123706817627},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.43855035305023193},{"id":"https://openalex.org/keywords/haar-like-features","display_name":"Haar-like features","score":0.427204430103302},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4267069697380066},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.41337400674819946},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.2855592966079712},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.27873873710632324},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.270548939704895},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.2586180567741394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1730947494506836},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13452944159507751},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11227661371231079}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8299837112426758},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5832893252372742},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.49892210960388184},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.49216026067733765},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.49182724952697754},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4588800370693207},{"id":"https://openalex.org/C145062175","wikidata":"https://www.wikidata.org/wiki/Q5318947","display_name":"Dynamic bandwidth allocation","level":3,"score":0.44359123706817627},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.43855035305023193},{"id":"https://openalex.org/C123134398","wikidata":"https://www.wikidata.org/wiki/Q2493819","display_name":"Haar-like features","level":5,"score":0.427204430103302},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4267069697380066},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.41337400674819946},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.2855592966079712},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.27873873710632324},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.270548939704895},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2586180567741394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1730947494506836},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13452944159507751},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11227661371231079},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sahcn.2017.7964938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sahcn.2017.7964938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1988281247","https://openalex.org/W2015328715","https://openalex.org/W2023380813","https://openalex.org/W2031454541","https://openalex.org/W2062460713","https://openalex.org/W2086402015","https://openalex.org/W2094547360","https://openalex.org/W2096904991","https://openalex.org/W2101788345","https://openalex.org/W2111200615","https://openalex.org/W2114623221","https://openalex.org/W2125444986","https://openalex.org/W2129861682","https://openalex.org/W2135099885","https://openalex.org/W2139479830","https://openalex.org/W2164598857","https://openalex.org/W2294516480","https://openalex.org/W2335223849","https://openalex.org/W2414316274","https://openalex.org/W3102617888","https://openalex.org/W4254419844"],"related_works":["https://openalex.org/W3209088864","https://openalex.org/W2135696199","https://openalex.org/W2382224374","https://openalex.org/W2794687645","https://openalex.org/W1607467862","https://openalex.org/W2385843069","https://openalex.org/W3034529322","https://openalex.org/W2088542616","https://openalex.org/W4247528400","https://openalex.org/W2903957039"],"abstract_inverted_index":{"By":[0],"placing":[1],"processing-capable":[2],"devices":[3,22,53,72,96],"at":[4,50],"the":[5,51,67,85,94,109,118,139,142,146,150,159,166,180,183,199],"edge":[6,41,82,157],"of":[7,89,101,144,152,165,171,173,182],"local":[8,47,90,124,160],"wireless":[9,30],"access":[10],"networks,":[11],"Edge":[12],"Computing":[13],"architectures":[14],"have":[15],"been":[16],"recently":[17],"proposed":[18],"to":[19,23,45,75,97,107,112],"connect":[20],"mobile":[21,52,71,95],"computational":[24],"power":[25],"through":[26],"a":[27,37,135,176,190,195,207],"one-hop":[28],"low-latency":[29],"link.":[31],"In":[32],"this":[33,127],"paper,":[34],"we":[35],"propose":[36],"new":[38],"design":[39],"where":[40,66],"assistance":[42],"is":[43,73,106,132],"used":[44],"control":[46],"data":[48,154],"filtering":[49],"in":[54,175],"bandwidth":[55,114,148,204],"and":[56,78,87,149,203],"energy":[57,120,202],"constrained":[58],"systems.":[59],"We":[60],"focus":[61],"on":[62,194],"real-time":[63],"monitoring":[64],"applications,":[65],"video":[68,102,110],"input":[69],"from":[70],"processed":[74],"centrally":[76],"detect":[77],"recognize":[79],"objects.":[80],"The":[81,104,156],"processor":[83],"controls":[84],"activation":[86],"deactivation":[88],"classifiers":[91],"implemented":[92],"by":[93,123,162,188],"remove":[98],"useless":[99],"portions":[100],"frames.":[103],"objective":[105],"adapt":[108],"stream":[111],"time-varying":[113],"constraints,":[115],"while":[116],"minimizing":[117],"additional":[119],"consumption":[121],"introduced":[122],"processing.":[125],"To":[126],"end,":[128],"an":[129],"optimization":[130],"problem":[131],"formulated":[133],"for":[134,206],"loss":[136],"function":[137],"embodying":[138],"balance":[140],"between":[141,201],"risk":[143],"violating":[145],"available":[147],"cost":[151],"overly-conservative":[153],"filtering.":[155],"assists":[158],"decision":[161],"extracting":[163],"parameters":[164],"video,":[167],"such":[168],"as":[169],"density":[170],"objects":[172],"interest":[174],"frame,":[177],"which":[178],"influence":[179],"output":[181],"sensor.":[184],"Numerical":[185],"results,":[186],"obtained":[187],"performing":[189],"measurement":[191],"campaign":[192],"based":[193,209],"real":[196],"implementation,":[197],"illustrate":[198],"tension":[200],"use":[205],"Haar-feature":[208],"cascade":[210],"classifier.":[211]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
