{"id":"https://openalex.org/W1505997871","doi":"https://doi.org/10.1109/icc.2015.7249225","title":"An entropy-based probabilistic forwarding strategy in Named Data Networking","display_name":"An entropy-based probabilistic forwarding strategy in Named Data Networking","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1505997871","doi":"https://doi.org/10.1109/icc.2015.7249225","mag":"1505997871"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2015.7249225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2015.7249225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Communications (ICC)","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/A5078920845","display_name":"Kai Lei","orcid":"https://orcid.org/0000-0001-9197-895X"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kai Lei","raw_affiliation_strings":["Institute of Big Data Technologies, (SECE) Peking University","Institute of Big Data Technologies, Shenzhen Key Lab for Cloud Computing Technology & Applications, School of Electronics and Computer Engineering(SECE), Peking University, China"],"affiliations":[{"raw_affiliation_string":"Institute of Big Data Technologies, (SECE) Peking University","institution_ids":["https://openalex.org/I4210096250","https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Big Data Technologies, Shenzhen Key Lab for Cloud Computing Technology & Applications, School of Electronics and Computer Engineering(SECE), Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100388745","display_name":"Jiawei Wang","orcid":"https://orcid.org/0000-0001-5037-4658"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Wang","raw_affiliation_strings":["Institute of Big Data Technologies, (SECE) Peking University","Institute of Big Data Technologies, Shenzhen Key Lab for Cloud Computing Technology & Applications, School of Electronics and Computer Engineering(SECE), Peking University, China"],"affiliations":[{"raw_affiliation_string":"Institute of Big Data Technologies, (SECE) Peking University","institution_ids":["https://openalex.org/I4210096250","https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Big Data Technologies, Shenzhen Key Lab for Cloud Computing Technology & Applications, School of Electronics and Computer Engineering(SECE), Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101720693","display_name":"Jie Yuan","orcid":"https://orcid.org/0000-0002-3923-8580"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yuan","raw_affiliation_strings":["Institute of Big Data Technologies, (SECE) Peking University","Institute of Big Data Technologies, Shenzhen Key Lab for Cloud Computing Technology & Applications, School of Electronics and Computer Engineering(SECE), Peking University, China"],"affiliations":[{"raw_affiliation_string":"Institute of Big Data Technologies, (SECE) Peking University","institution_ids":["https://openalex.org/I4210096250","https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Big Data Technologies, Shenzhen Key Lab for Cloud Computing Technology & Applications, School of Electronics and Computer Engineering(SECE), Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078920845"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210096250"],"apc_list":null,"apc_paid":null,"fwci":3.9938,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.94011048,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5665","last_page":"5671"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","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/T11478","display_name":"Caching and Content Delivery","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/T11342","display_name":"Carbon and Quantum Dots Applications","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12038","display_name":"Covalent Organic Framework Applications","score":0.980400025844574,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials 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":0.8635843992233276},{"id":"https://openalex.org/keywords/packet-forwarding","display_name":"Packet forwarding","score":0.6525735855102539},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6361392140388489},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6023405194282532},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5606292486190796},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5193827748298645},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.4373958706855774},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4182499349117279}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8635843992233276},{"id":"https://openalex.org/C120317029","wikidata":"https://www.wikidata.org/wiki/Q874048","display_name":"Packet forwarding","level":3,"score":0.6525735855102539},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6361392140388489},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6023405194282532},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5606292486190796},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5193827748298645},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.4373958706855774},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4182499349117279},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2015.7249225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2015.7249225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W24150732","https://openalex.org/W1494494012","https://openalex.org/W1973179992","https://openalex.org/W1982034405","https://openalex.org/W2014952121","https://openalex.org/W2041404167","https://openalex.org/W2050757921","https://openalex.org/W2093773865","https://openalex.org/W2110769762","https://openalex.org/W2113800507","https://openalex.org/W2120664464","https://openalex.org/W2122642161","https://openalex.org/W2148662748","https://openalex.org/W2168117245","https://openalex.org/W2367132056","https://openalex.org/W2978725006","https://openalex.org/W4241025440","https://openalex.org/W4251575039"],"related_works":["https://openalex.org/W2048483191","https://openalex.org/W2943623134","https://openalex.org/W2494523064","https://openalex.org/W2588219639","https://openalex.org/W2215759665","https://openalex.org/W2030292806","https://openalex.org/W4286799632","https://openalex.org/W3097916513","https://openalex.org/W3015556001","https://openalex.org/W1998476775"],"abstract_inverted_index":{"The":[0],"forwarding":[1,25,56,189],"strategy":[2,58,164],"is":[3,17,41,59],"the":[4,7,69,106,148,186],"key":[5],"to":[6,36,61,94,145,161,185],"resiliency":[8],"and":[9,20,75,96,112,122,155,168,180],"efficiency":[10],"of":[11,71,108,159],"Named":[12],"Data":[13],"Networking":[14],"(NDN),":[15],"which":[16,79,141],"a":[18,43,63],"new":[19],"fundamental":[21],"research":[22],"area.":[23],"For":[24],"strategy,":[26],"dynamically":[27],"selecting":[28],"an":[29,38,53],"optimal":[30],"interface":[31,65,88],"from":[32],"multiple":[33,44,98],"alternative":[34],"interfaces":[35,109,160],"forward":[37],"Interest":[39],"packet":[40],"indeed":[42],"attribute":[45],"decision":[46],"making":[47],"(MADM)":[48],"problem.":[49],"In":[50,132],"this":[51],"paper,":[52],"entropy-based":[54],"probabilistic":[55],"(EPF)":[57],"proposed":[60],"make":[62],"stochastic":[64],"selection":[66],"based":[67],"on":[68],"combination":[70],"interfaces'":[72,125],"dynamic":[73,156],"availabilities":[74,107],"static":[76,152],"routing":[77,153],"information,":[78],"achieves":[80],"better":[81],"load":[82,178],"balance":[83,179],"in":[84],"comparison":[85],"with":[86],"deterministic":[87],"selection.":[89],"By":[90],"objectively":[91],"assigning":[92],"weights":[93],"attributes":[95],"considering":[97],"real-time":[99],"network":[100,116,167],"condition":[101],"metrics,":[102],"EPF":[103,128,163,174],"can":[104,118,142,175],"obtain":[105],"more":[110],"accurately":[111],"comprehensively.":[113],"Since":[114],"additional":[115],"metrics":[117],"be":[119,143],"easily":[120],"added":[121],"integrated":[123],"into":[124],"assessment":[126],"model,":[127],"provides":[129],"good":[130],"extensibility.":[131],"addition,":[133],"we":[134],"innovatively":[135],"define":[136],"two":[137],"parameters":[138],"(\u03b3,":[139],"\u03b4)":[140],"used":[144],"trade":[146],"off":[147],"effect":[149],"factors":[150],"between":[151],"information":[154],"running":[157],"status":[158],"customize":[162],"for":[165],"different":[166],"application":[169],"scenarios.":[170],"Experiments":[171],"show":[172],"that":[173],"realize":[176],"preferable":[177],"achieve":[181],"higher":[182],"throughput":[183],"compared":[184],"representative":[187],"BestRoute":[188],"strategy.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}