{"id":"https://openalex.org/W3100147749","doi":"https://doi.org/10.1109/lnet.2020.3037822","title":"PageRank-Based Multi-Hop Computation Offloading in D2D Networks","display_name":"PageRank-Based Multi-Hop Computation Offloading in D2D Networks","publication_year":2020,"publication_date":"2020-11-12","ids":{"openalex":"https://openalex.org/W3100147749","doi":"https://doi.org/10.1109/lnet.2020.3037822","mag":"3100147749"},"language":"en","primary_location":{"id":"doi:10.1109/lnet.2020.3037822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lnet.2020.3037822","pdf_url":null,"source":{"id":"https://openalex.org/S4210234060","display_name":"IEEE Networking Letters","issn_l":"2576-3156","issn":["2576-3156"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Networking Letters","raw_type":"journal-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/A5065601551","display_name":"Wenhao Fan","orcid":"https://orcid.org/0000-0001-5288-8708"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenhao Fan","raw_affiliation_strings":["School of Electronic Engineering and Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5288-8708","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021403100","display_name":"Desheng Teng","orcid":"https://orcid.org/0000-0002-1195-3670"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Desheng Teng","raw_affiliation_strings":["School of Electronic Engineering and Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1195-3670","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100676495","display_name":"Fan Wu","orcid":"https://orcid.org/0000-0002-1286-7141"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Wu","raw_affiliation_strings":["School of Electronic Engineering and Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1286-7141","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020422392","display_name":"Yuanan Liu","orcid":"https://orcid.org/0000-0002-8076-1904"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan'an Liu","raw_affiliation_strings":["School of Electronic Engineering and Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8076-1904","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065601551"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.4856,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69169222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2","issue":"4","first_page":"195","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9998999834060669,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9998999834060669,"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":0.998199999332428,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9927999973297119,"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/computer-science","display_name":"Computer science","score":0.7817559242248535},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.6923859119415283},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6491857767105103},{"id":"https://openalex.org/keywords/computation-offloading","display_name":"Computation offloading","score":0.6166432499885559},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4762996435165405},{"id":"https://openalex.org/keywords/hop","display_name":"Hop (telecommunications)","score":0.419845849275589},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.36929044127464294},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3039032816886902},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.2903328239917755},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22543379664421082},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.22088965773582458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11067900061607361},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08574336767196655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7817559242248535},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.6923859119415283},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6491857767105103},{"id":"https://openalex.org/C2781041963","wikidata":"https://www.wikidata.org/wiki/Q18348618","display_name":"Computation offloading","level":4,"score":0.6166432499885559},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4762996435165405},{"id":"https://openalex.org/C25906391","wikidata":"https://www.wikidata.org/wiki/Q1432381","display_name":"Hop (telecommunications)","level":2,"score":0.419845849275589},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.36929044127464294},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3039032816886902},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.2903328239917755},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22543379664421082},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.22088965773582458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11067900061607361},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08574336767196655}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lnet.2020.3037822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lnet.2020.3037822","pdf_url":null,"source":{"id":"https://openalex.org/S4210234060","display_name":"IEEE Networking Letters","issn_l":"2576-3156","issn":["2576-3156"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Networking Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G8194511106","display_name":null,"funder_award_id":"61821001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1854214752","https://openalex.org/W2118382442","https://openalex.org/W2594560857","https://openalex.org/W2909079628","https://openalex.org/W2960546185","https://openalex.org/W3009963213","https://openalex.org/W3106445841","https://openalex.org/W6639055396"],"related_works":["https://openalex.org/W2154222238","https://openalex.org/W2106626222","https://openalex.org/W2980866815","https://openalex.org/W1562405179","https://openalex.org/W2125493559","https://openalex.org/W1544909909","https://openalex.org/W2002053721","https://openalex.org/W2001641889","https://openalex.org/W2310552679","https://openalex.org/W4308987612"],"abstract_inverted_index":{"In":[0],"a":[1,7,24,78,132],"D2D":[2,124],"network,":[3],"the":[4,19,32,38,47,63,70,75,83,92,102,106,116,123,127,144],"tasks":[5],"of":[6,34,41,49,66,85,101,108,122,148,170],"user":[8],"device":[9],"(UD)":[10],"can":[11],"be":[12],"offloaded":[13],"to":[14,17,29,142,155],"other":[15],"UDs":[16,53],"improve":[18],"UD's":[20],"performance.":[21],"We":[22],"propose":[23],"novel":[25],"computation":[26,50,164],"offloading":[27,51,165],"scheme":[28,172],"efficiently":[30],"alleviate":[31],"delay":[33],"task":[35],"processing":[36],"and":[37,97,105,119,159,177],"energy":[39],"consumption":[40],"UDs.":[42,130,149,167],"Inspired":[43],"by":[44,56,90,114,178],"PageRank":[45],"algorithm,":[46,135],"strategies":[48,158,162],"for":[52,163],"are":[54],"determined":[55],"their":[57],"steady":[58,145],"ranking":[59,146],"values,":[60],"which":[61,136],"reflect":[62],"overall":[64],"influence":[65],"UDs'":[67],"performance":[68],"in":[69,175],"network.":[71],"Firstly,":[72],"we":[73,151],"model":[74],"network":[76],"as":[77],"directed":[79,110],"weighted":[80],"graph,":[81],"where":[82],"weight":[84,107],"each":[86,109],"vertex":[87],"is":[88,112,140,173],"obtained":[89,113],"integrating":[91,115],"computing":[93],"ability,":[94],"battery":[95],"energy,":[96],"available":[98],"storage":[99],"capacity":[100],"corresponding":[103,128],"UD,":[104],"edge":[111],"data":[117],"rates":[118],"potential":[120],"interference":[121],"connection":[125],"between":[126],"two":[129],"Secondly,":[131],"power":[133],"iteration":[134],"satisfies":[137],"Markov":[138],"convergence,":[139],"designed":[141],"compute":[143],"values":[147],"Finally,":[150],"design":[152],"an":[153],"algorithm":[154],"obtain":[156],"one-hop":[157],"multi-hop":[160],"routing":[161],"among":[166],"The":[168],"superiority":[169],"our":[171],"demonstrated":[174],"simulations":[176],"comparisons.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
