{"id":"https://openalex.org/W1491096331","doi":"https://doi.org/10.1109/infocom.2015.7218447","title":"Low-delay distributed source coding for time-varying sources with unknown statistics","display_name":"Low-delay distributed source coding for time-varying sources with unknown statistics","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1491096331","doi":"https://doi.org/10.1109/infocom.2015.7218447","mag":"1491096331"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2015.7218447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2015.7218447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Communications (INFOCOM)","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/A5083836427","display_name":"Fangzhou Chen","orcid":"https://orcid.org/0000-0003-1462-3025"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fangzhou Chen","raw_affiliation_strings":["Department of ECE, The Ohio State University, Columbus, OH, USA","[Department of ECE, The Ohio State University, Columbus, OH 43210, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"[Department of ECE, The Ohio State University, Columbus, OH 43210, USA]","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365151","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-1998-819X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["Coordinated Science Lab, University of Illinois at Urbana-Champaign, Urbana, IL, USA","Coordinated Science Lab, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Coordinated Science Lab, University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Coordinated Science Lab, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030047891","display_name":"C. Emre Koksal","orcid":"https://orcid.org/0000-0001-8463-4446"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Can Emre Koksal","raw_affiliation_strings":["Department of ECE, The Ohio State University, Columbus, OH, USA","[Department of ECE, The Ohio State University, Columbus, OH 43210, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"[Department of ECE, The Ohio State University, Columbus, OH 43210, USA]","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2008,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56176283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"40","issue":null,"first_page":"774","last_page":"782"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9994999766349792,"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/T13187","display_name":"Diffusion and Search Dynamics","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/decoding-methods","display_name":"Decoding methods","score":0.7704635858535767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7553235292434692},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7435050010681152},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6372964382171631},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.5684637427330017},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5599967837333679},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.552415668964386},{"id":"https://openalex.org/keywords/distributed-source-coding","display_name":"Distributed source coding","score":0.5379245281219482},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.46856003999710083},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4427536725997925},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.42864933609962463},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.42359238862991333},{"id":"https://openalex.org/keywords/channel-code","display_name":"Channel code","score":0.34562212228775024},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2119123637676239},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20892000198364258}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7704635858535767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7553235292434692},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7435050010681152},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6372964382171631},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.5684637427330017},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5599967837333679},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.552415668964386},{"id":"https://openalex.org/C200801453","wikidata":"https://www.wikidata.org/wiki/Q5283181","display_name":"Distributed source coding","level":4,"score":0.5379245281219482},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.46856003999710083},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4427536725997925},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.42864933609962463},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.42359238862991333},{"id":"https://openalex.org/C166366890","wikidata":"https://www.wikidata.org/wiki/Q602136","display_name":"Channel code","level":3,"score":0.34562212228775024},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2119123637676239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20892000198364258},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/infocom.2015.7218447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2015.7218447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Communications (INFOCOM)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.702.3228","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.702.3228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ifp.illinois.edu/%7Elib/papers/SourceCoding_infocom2015.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W66434834","https://openalex.org/W638149299","https://openalex.org/W1611077513","https://openalex.org/W1963411884","https://openalex.org/W1995643834","https://openalex.org/W2004863950","https://openalex.org/W2025200807","https://openalex.org/W2099213070","https://openalex.org/W2105768002","https://openalex.org/W2109895537","https://openalex.org/W2110575505","https://openalex.org/W2118375162","https://openalex.org/W2140036601","https://openalex.org/W2146459618","https://openalex.org/W2152027409","https://openalex.org/W2162404506","https://openalex.org/W2240974438","https://openalex.org/W3143559850","https://openalex.org/W4285719527","https://openalex.org/W6602685076","https://openalex.org/W6641246299"],"related_works":["https://openalex.org/W2948148442","https://openalex.org/W2461250372","https://openalex.org/W2394342941","https://openalex.org/W2169853506","https://openalex.org/W1513042817","https://openalex.org/W2096000848","https://openalex.org/W2393483350","https://openalex.org/W2164077395","https://openalex.org/W1901494946","https://openalex.org/W2055627262"],"abstract_inverted_index":{"We":[0,55,110,141],"consider":[1],"a":[2,12,35,52,57,159,173,177,196],"system":[3,58],"in":[4,73,82,89],"which":[5,44],"two":[6,154],"nodes":[7],"take":[8],"correlated":[9],"measurements":[10],"of":[11,22,38,99,115,133,146,158,180,195],"random":[13],"source":[14,24,65,135],"with":[15,34,172],"time-varying":[16],"and":[17,59,68,70,102,118],"unknown":[18],"statistics.":[19],"The":[20],"observations":[21,101],"the":[23,26,41,48,93,96,100,103,113,121,130,134,138,144,189],"at":[25,40,161,188,191],"first":[27,49],"node":[28,50],"are":[29,126],"to":[30,75,137],"be":[31,87],"losslessly":[32],"replicated":[33],"given":[36],"probability":[37],"outage":[39],"second":[42],"node,":[43],"receives":[45],"data":[46],"from":[47],"over":[51],"constant-rate":[53],"channel.":[54],"develop":[56],"associated":[60,104],"strategies":[61,117],"for":[62,185],"joint":[63,97],"distributed":[64],"coding":[66,81],"(encoding":[67],"decoding)":[69],"transmission":[71],"control":[72],"order":[74,127],"achieve":[76],"low":[77],"end-to-end":[78],"delay.":[79],"Slepian-Wolf":[80],"its":[83],"traditional":[84],"form":[85],"cannot":[86],"applied":[88],"our":[90,116,147,166],"scenario,":[91],"since":[92],"encoder":[94],"requires":[95],"statistics":[98],"decoding":[105],"delay":[106,122,194],"is":[107,183],"very":[108,174],"high.":[109],"analytically":[111],"evaluate":[112,143],"performance":[114,145],"show":[119],"that":[120],"achieved":[123],"by":[124],"them":[125],"optimal,":[128],"as":[129],"conditional":[131],"entropy":[132],"approaches":[136],"channel":[139],"rate.":[140],"also":[142],"algorithms":[148],"based":[149],"on":[150],"real-world":[151],"experiments":[152],"using":[153],"cameras":[155],"recording":[156],"videos":[157],"scene":[160],"different":[162],"angles.":[163],"Having":[164],"realized":[165],"schemes,":[167],"we":[168],"demonstrated":[169],"that,":[170],"even":[171],"low-complexity":[175],"quantizer,":[176],"compression":[178],"ratio":[179],"approximately":[181],"50%":[182],"achievable":[184],"lossless":[186],"replication":[187],"decoder,":[190],"an":[192],"average":[193],"few":[197],"seconds.":[198]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}