{"id":"https://openalex.org/W2041738377","doi":"https://doi.org/10.1109/infocom.2014.6848167","title":"Spectrum-aware data replication in intermittently connected cognitive radio networks","display_name":"Spectrum-aware data replication in intermittently connected cognitive radio networks","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2041738377","doi":"https://doi.org/10.1109/infocom.2014.6848167","mag":"2041738377"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2014.6848167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2014.6848167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2014 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100623271","display_name":"Jing Zhao","orcid":"https://orcid.org/0000-0002-0737-6532"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Zhao","raw_affiliation_strings":["Department of Computer Science and Engineering, The Pennsylvania State University","Department of Computer Science and Engineering Pennsylvania State University  University Park PA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Department of Computer Science and Engineering Pennsylvania State University  University Park PA USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102287047","display_name":"Guohong Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guohong Cao","raw_affiliation_strings":["Department of Computer Science and Engineering, The Pennsylvania State University","Department of Computer Science and Engineering Pennsylvania State University  University Park PA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Department of Computer Science and Engineering Pennsylvania State University  University Park PA USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":4.4101,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.95824487,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2238","last_page":"2246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","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/T10796","display_name":"Cooperative Communication and Network Coding","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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9994999766349792,"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":0.8548554182052612},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.7468857765197754},{"id":"https://openalex.org/keywords/replication","display_name":"Replication (statistics)","score":0.7027177214622498},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.6333918571472168},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6299771070480347},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5895647406578064},{"id":"https://openalex.org/keywords/wireless-ad-hoc-network","display_name":"Wireless ad hoc network","score":0.5720393061637878},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.45186832547187805},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.43138206005096436},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.4284132122993469},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13738736510276794},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.11610901355743408},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0832623839378357}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8548554182052612},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.7468857765197754},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.7027177214622498},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.6333918571472168},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6299771070480347},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5895647406578064},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.5720393061637878},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.45186832547187805},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.43138206005096436},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.4284132122993469},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13738736510276794},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.11610901355743408},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0832623839378357},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/infocom.2014.6848167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2014.6848167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2014 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.496.8859","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.496.8859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mcn.cse.psu.edu/paper/jingzhao/infocom-jing14-dtn.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1595409123","https://openalex.org/W1976672512","https://openalex.org/W1998280181","https://openalex.org/W2002169759","https://openalex.org/W2005818630","https://openalex.org/W2009620906","https://openalex.org/W2017725978","https://openalex.org/W2026357470","https://openalex.org/W2027522306","https://openalex.org/W2042959783","https://openalex.org/W2060383394","https://openalex.org/W2087721976","https://openalex.org/W2095922672","https://openalex.org/W2097861666","https://openalex.org/W2099574482","https://openalex.org/W2112053513","https://openalex.org/W2112316694","https://openalex.org/W2118518442","https://openalex.org/W2119339291","https://openalex.org/W2120875707","https://openalex.org/W2123446225","https://openalex.org/W2127586140","https://openalex.org/W2128938148","https://openalex.org/W2129223406","https://openalex.org/W2134616143","https://openalex.org/W2134732869","https://openalex.org/W2144369278","https://openalex.org/W2149891651","https://openalex.org/W2151062352","https://openalex.org/W2164237594","https://openalex.org/W2165197855","https://openalex.org/W2176308295","https://openalex.org/W2899702797","https://openalex.org/W4230872744","https://openalex.org/W4234068324","https://openalex.org/W4247697016","https://openalex.org/W6661058784","https://openalex.org/W6680082670"],"related_works":["https://openalex.org/W2559261346","https://openalex.org/W4280609833","https://openalex.org/W1973979964","https://openalex.org/W4235820682","https://openalex.org/W185479762","https://openalex.org/W2136943174","https://openalex.org/W4246064491","https://openalex.org/W1968709058","https://openalex.org/W2298116686","https://openalex.org/W2784119698"],"abstract_inverted_index":{"The":[0],"opening":[1],"of":[2,92,149,169],"under-utilized":[3],"spectrum":[4],"creates":[5],"an":[6,108],"opportunity":[7],"for":[8],"unlicensed":[9],"users":[10],"to":[11,43,50,113,121,131],"achieve":[12],"substantial":[13],"performance":[14,58],"improvement":[15],"through":[16],"cognitive":[17,21,63],"radio":[18,22,64],"techniques.":[19],"In":[20,99],"ad-hoc":[23],"networks,":[24,77],"with":[25],"node":[26,30],"mobility":[27],"and":[28,38,54,123,157],"low":[29],"density,":[31],"the":[32,90,115,127,147],"network":[33],"topology":[34],"is":[35,41,129],"highly":[36],"dynamic":[37],"end-to-end":[39],"connection":[40],"hard":[42,130],"maintain.":[44],"We":[45],"propose":[46],"data":[47,56,67,97,105,117,170],"replication":[48,68,106,143,150],"techniques":[49,79],"address":[51],"these":[52],"problems":[53],"improve":[55],"access":[57],"in":[59,73,167,173],"such":[60],"intermittently":[61],"connected":[62],"network.":[65],"Although":[66],"has":[69],"been":[70],"extensively":[71],"studied":[72],"traditional":[74],"disruption":[75],"tolerant":[76],"existing":[78,165],"cannot":[80],"be":[81],"directly":[82],"applied":[83],"here":[84],"since":[85],"they":[86],"do":[87],"not":[88],"consider":[89],"effects":[91],"primary":[93],"user":[94],"appearance":[95],"on":[96,134,146,155],"replication.":[98],"this":[100],"paper,":[101],"we":[102,138],"formulate":[103],"spectrum-aware":[104],"as":[107],"optimization":[109],"problem":[110,128],"which":[111],"tries":[112],"maximize":[114],"average":[116],"retrieval":[118,171],"probability,":[119],"subject":[120],"storage":[122],"time":[124],"constraints.":[125],"Since":[126],"solve":[132],"based":[133,145,154],"mixed":[135],"integer":[136],"programming,":[137],"further":[139],"design":[140],"a":[141],"distributed":[142],"scheme":[144,163],"metric":[148],"benefit.":[151],"Extensive":[152],"simulations":[153],"synthetic":[156],"realistic":[158],"traces":[159],"show":[160],"that":[161],"our":[162],"outperforms":[164],"schemes":[166],"terms":[168],"probability":[172],"various":[174],"scenarios.":[175]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":5}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}