{"id":"https://openalex.org/W4388198893","doi":"https://doi.org/10.1145/3616388.3617552","title":"How Fresh is the Data? An Optimal Learning-Based End-to-End Pull-Based Forwarding Framework for NDNoTs","display_name":"How Fresh is the Data? An Optimal Learning-Based End-to-End Pull-Based Forwarding Framework for NDNoTs","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4388198893","doi":"https://doi.org/10.1145/3616388.3617552"},"language":"en","primary_location":{"id":"doi:10.1145/3616388.3617552","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3616388.3617552","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3616388.3617552","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3616388.3617552","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Tharakeswararaju Buchipalli","orcid":"https://orcid.org/0009-0002-3786-3021"},"institutions":[{"id":"https://openalex.org/I4210109292","display_name":"Indian Institute of Technology Tirupati","ror":"https://ror.org/01xtkxh20","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tharakeswararaju Buchipalli","raw_affiliation_strings":["Indian Institute of Technology Tirupati, Tirupati, India"],"raw_orcid":"https://orcid.org/0009-0002-3786-3021","affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Tirupati, Tirupati, India","institution_ids":["https://openalex.org/I4210109292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110009197","display_name":"V. Mahendran","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109292","display_name":"Indian Institute of Technology Tirupati","ror":"https://ror.org/01xtkxh20","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. Mahendran","raw_affiliation_strings":["Indian Institute of Technology Tirupati, Tirupati, India"],"raw_orcid":"https://orcid.org/0000-0002-1029-6832","affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Tirupati, Tirupati, India","institution_ids":["https://openalex.org/I4210109292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050432585","display_name":"Venkataramana Badarla","orcid":"https://orcid.org/0000-0002-7927-8587"},"institutions":[{"id":"https://openalex.org/I4210109292","display_name":"Indian Institute of Technology Tirupati","ror":"https://ror.org/01xtkxh20","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Venkataramana Badarla","raw_affiliation_strings":["Indian Institute of Technology Tirupati, Tirupati, India"],"raw_orcid":"https://orcid.org/0000-0002-7927-8587","affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Tirupati, Tirupati, India","institution_ids":["https://openalex.org/I4210109292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210109292"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18172575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"285","last_page":"289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9997000098228455,"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/T11478","display_name":"Caching and Content Delivery","score":0.9997000098228455,"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/T13553","display_name":"Age of Information Optimization","score":0.9997000098228455,"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":0.9929999709129333,"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":0.7843842506408691},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5764525532722473},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5017445087432861},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.44416943192481995},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.41565078496932983},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.39260151982307434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18038326501846313}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7843842506408691},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5764525532722473},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5017445087432861},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.44416943192481995},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.41565078496932983},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.39260151982307434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18038326501846313}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3616388.3617552","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3616388.3617552","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3616388.3617552","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3616388.3617552","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3616388.3617552","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3616388.3617552","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388198893.pdf","grobid_xml":"https://content.openalex.org/works/W4388198893.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2098432798","https://openalex.org/W2791487310","https://openalex.org/W3013499387","https://openalex.org/W3139266214","https://openalex.org/W4283527620","https://openalex.org/W4298871897"],"related_works":["https://openalex.org/W3179968364","https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W1999612375","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W3084456289","https://openalex.org/W2024136090","https://openalex.org/W4391331176"],"abstract_inverted_index":{"The":[0,90,105,127],"Named":[1],"Data":[2],"Networks":[3],"(NDNs)":[4],"are":[5],"considered":[6],"as":[7,97],"a":[8,57,70],"suitable":[9],"architectural":[10],"paradigm":[11],"for":[12],"collecting":[13],"the":[14,19,34,109,133,147],"sensory":[15,29,82],"data":[16,61,83,125],"generated":[17],"by":[18],"Internet":[20],"of":[21,37,108,119,135],"Things":[22],"(IoTs).":[23],"However,":[24],"towards":[25],"retrieving":[26,51],"fresh":[27,52,81,124],"ephemeral":[28],"data,":[30],"we":[31],"show":[32,68],"that":[33,69],"naive":[35],"integration":[36],"NDN":[38,75,92,149],"and":[39,48,123,144],"IoT/sensor,":[40],"without":[41],"using":[42,101,152],"learning-based":[43,59],"forwarding":[44,62,76,93,138,150],"methods,":[45],"is":[46,64,95,111,142],"energy-demanding":[47],"sub-optimal":[49],"in":[50,86,117,132],"data.":[53],"To":[54],"this":[55],"end,":[56],"novel":[58],"NDNoT":[60,137],"framework":[63],"proposed.":[65],"We":[66],"analytically":[67],"Reinforcement":[71],"Learning":[72],"(RL)":[73],"based":[74],"strategy":[77,94],"can":[78],"optimally":[79],"retrieve":[80],"from":[84],"IoTs":[85],"an":[87,98,136],"energy-efficient":[88],"manner.":[89],"proposed":[91],"modelled":[96],"optimal-stopping":[99],"problem":[100],"Multi-Armed":[102],"Bandit":[103],"(MABs).":[104],"structural":[106],"result":[107],"MAB":[110],"investigated":[112],"to":[113],"yield":[114],"optimal":[115,129],"policy":[116,130],"terms":[118],"both":[120],"energy":[121],"efficiency":[122],"delivery.":[126],"resultant":[128],"implemented":[131],"form":[134],"algorithm":[139],"namely,":[140],"FRESH":[141],"validated":[143],"compared":[145],"against":[146],"state-of-the-art":[148],"strategies":[151],"extensive":[153],"simulation.":[154]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}