乐胖代购免代理版

{"id":"https://openalex.org/W2946297939","doi":"https://doi.org/10.1145/3316781.3317926","title":"Transmit or Discard","display_name":"Transmit or Discard","publication_year":2019,"publication_date":"2019-05-23","ids":{"openalex":"https://openalex.org/W2946297939","doi":"https://doi.org/10.1145/3316781.3317926","mag":"2946297939"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3316781.3317926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5025167300","display_name":"Zimeng Zhou","orcid":"https://orcid.org/0000-0002-6683-3991"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zimeng Zhou","raw_affiliation_strings":["City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025857856","display_name":"Chenchen Fu","orcid":"https://orcid.org/0000-0002-6724-9594"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenchen Fu","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101441768","display_name":"Chun Jason Xue","orcid":"https://orcid.org/0000-0002-6431-9868"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chun Jason Xue","raw_affiliation_strings":["City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100623628","display_name":"Song Han","orcid":"https://orcid.org/0000-0002-1491-7675"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Song Han","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Connecticut, Mansfield, CT USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Connecticut, Mansfield, CT USA","institution_ids":["https://openalex.org/I140172145"]}]}],"institution_assertions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.818,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":11,"citation_normalized_percentile":{"value":0.743744,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":86,"max":87},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T13553","display_name":"Optimizing Information Freshness in Communication Networks","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/T13553","display_name":"Optimizing Information Freshness in Communication Networks","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/T12079","display_name":"Low Power Wide Area Network Technologies","score":0.9803,"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/T10444","display_name":"Activity Recognition in Pervasive Computing Environments","score":0.9552,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/age-of-information","display_name":"Age of Information","score":0.564708},{"id":"https://openalex.org/keywords/energy-harvesting","display_name":"Energy Harvesting","score":0.554714},{"id":"https://openalex.org/keywords/energy-efficiency","display_name":"Energy Efficiency","score":0.501349}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7684839},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5928075},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5844333},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5755715},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5560877},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.45738995},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26123172},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18233356},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0955295},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3316781.3317926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.89,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":18,"referenced_works":["https://openalex.org/W1278605765","https://openalex.org/W1640967807","https://openalex.org/W1794490453","https://openalex.org/W1919404870","https://openalex.org/W1993918491","https://openalex.org/W2005278642","https://openalex.org/W2042545035","https://openalex.org/W2047043624","https://openalex.org/W2082543178","https://openalex.org/W2092471931","https://openalex.org/W2124195480","https://openalex.org/W2151631516","https://openalex.org/W2407226507","https://openalex.org/W2570909433","https://openalex.org/W2649848418","https://openalex.org/W2744248483","https://openalex.org/W2825335763","https://openalex.org/W3148955561"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W4255628145","https://openalex.org/W4234808182","https://openalex.org/W2809370583","https://openalex.org/W2809151339","https://openalex.org/W2387011115","https://openalex.org/W2382043075","https://openalex.org/W2360673138","https://openalex.org/W2333722679","https://openalex.org/W2093320919"],"abstract_inverted_index":{"This":[0],"paper":[1],"explores":[2],"how":[3],"to":[4,27,66,82,88,117],"optimize":[5,83],"the":[6,20,30,39,43,72,84,96,99,111,118],"freshness":[7,32],"of":[8,22,24,42,71,98],"real-time":[9,44,73],"data":[10,31,45,74],"in":[11],"energy":[12,51,89,123],"harvesting":[13],"based":[14],"networked":[15],"embedded":[16],"systems.":[17],"We":[18],"introduce":[19],"concept":[21],"Age":[23],"Information":[25],"(AoI)":[26],"quantitatively":[28],"measure":[29],"and":[33,50,59,76,102],"present":[34],"a":[35,69],"comprehensive":[36],"analysis":[37],"on":[38],"average":[40,85,112],"AoI":[41,86,113],"with":[46],"stochastic":[47],"update":[48],"arrival":[49],"replenishment":[52,124],"rates.":[53],"Both":[54],"an":[55,60],"optimal":[56],"offline":[57],"solution":[58,63],"effective":[61],"online":[62],"are":[64],"designed":[65],"judiciously":[67],"select":[68],"subset":[70],"updates":[75],"determine":[77],"their":[78],"corresponding":[79],"transmission":[80],"times":[81],"subject":[87],"constraints.":[90],"Our":[91],"extensive":[92],"experiments":[93],"have":[94],"validated":[95],"effectiveness":[97],"proposed":[100],"solutions,":[101],"showed":[103],"that":[104],"these":[105],"two":[106],"methods":[107],"can":[108],"significantly":[109],"improve":[110],"by":[114],"47.2%":[115],"comparing":[116],"state-of-the-art":[119],"solutions":[120],"for":[121],"low":[122],"rate.":[125]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2946297939","counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2024-11-27T03:05:44.652704","created_date":"2019-05-29"}