RAPAR: Routing algorithm based on node relationship mining in opportunistic network
Abstract Information-assisted routing algorithms improve the performance of mobile opportunistic networks (MONs), where node utility and packet redundancy are used in the data forwarding process. Making a tradeoff between the forwarding performance and network overhead is the key problem in MONs. In...
Ausführliche Beschreibung
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| Autor*in: |
Yuan, Peiyan [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Peer-to-peer networking and applications - New York, NY : Springer, 2008, 15(2022), 4 vom: 18. Mai, Seite 1953-1963 |
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| Übergeordnetes Werk: |
volume:15 ; year:2022 ; number:4 ; day:18 ; month:05 ; pages:1953-1963 |
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| DOI / URN: |
10.1007/s12083-022-01331-6 |
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| Katalog-ID: |
SPR04748182X |
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| 520 | |a Abstract Information-assisted routing algorithms improve the performance of mobile opportunistic networks (MONs), where node utility and packet redundancy are used in the data forwarding process. Making a tradeoff between the forwarding performance and network overhead is the key problem in MONs. In this study, we propose a multiple-copy routing scheme based on node relationship mining. This scheme considers the influence of the difference and dynamic variability of the relationship between nodes on the routing packets. First, it uses the complex contact information of the nodes to reflect the social relationship of the nodes. Second, to further reduce the network overhead, the relationship model is constructed using the Apriori algorithm to calculate the social forwarding utility of the node. The experimental results show that the proposed scheme can achieve better network performance. This effectively reduces the network overhead on the premise of higher delivery rate and lower transmission delay. | ||
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| 700 | 1 | |a Shao, Saike |4 aut | |
| 700 | 1 | |a Huang, Xiaoyan |4 aut | |
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10.1007/s12083-022-01331-6 doi (DE-627)SPR04748182X (SPR)s12083-022-01331-6-e DE-627 ger DE-627 rakwb eng Yuan, Peiyan verfasserin (orcid)0000-0003-0023-1194 aut RAPAR: Routing algorithm based on node relationship mining in opportunistic network 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 Abstract Information-assisted routing algorithms improve the performance of mobile opportunistic networks (MONs), where node utility and packet redundancy are used in the data forwarding process. Making a tradeoff between the forwarding performance and network overhead is the key problem in MONs. In this study, we propose a multiple-copy routing scheme based on node relationship mining. This scheme considers the influence of the difference and dynamic variability of the relationship between nodes on the routing packets. First, it uses the complex contact information of the nodes to reflect the social relationship of the nodes. Second, to further reduce the network overhead, the relationship model is constructed using the Apriori algorithm to calculate the social forwarding utility of the node. The experimental results show that the proposed scheme can achieve better network performance. This effectively reduces the network overhead on the premise of higher delivery rate and lower transmission delay. Apriori (dpeaa)DE-He213 Opportunistic networks (dpeaa)DE-He213 Routing algorithm (dpeaa)DE-He213 Social relationship (dpeaa)DE-He213 Shao, Saike aut Huang, Xiaoyan aut Enthalten in Peer-to-peer networking and applications New York, NY : Springer, 2008 15(2022), 4 vom: 18. Mai, Seite 1953-1963 (DE-627)565518895 (DE-600)2424434-X 1936-6450 nnns volume:15 year:2022 number:4 day:18 month:05 pages:1953-1963 https://dx.doi.org/10.1007/s12083-022-01331-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2022 4 18 05 1953-1963 |
| spelling |
10.1007/s12083-022-01331-6 doi (DE-627)SPR04748182X (SPR)s12083-022-01331-6-e DE-627 ger DE-627 rakwb eng Yuan, Peiyan verfasserin (orcid)0000-0003-0023-1194 aut RAPAR: Routing algorithm based on node relationship mining in opportunistic network 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 Abstract Information-assisted routing algorithms improve the performance of mobile opportunistic networks (MONs), where node utility and packet redundancy are used in the data forwarding process. Making a tradeoff between the forwarding performance and network overhead is the key problem in MONs. In this study, we propose a multiple-copy routing scheme based on node relationship mining. This scheme considers the influence of the difference and dynamic variability of the relationship between nodes on the routing packets. First, it uses the complex contact information of the nodes to reflect the social relationship of the nodes. Second, to further reduce the network overhead, the relationship model is constructed using the Apriori algorithm to calculate the social forwarding utility of the node. The experimental results show that the proposed scheme can achieve better network performance. This effectively reduces the network overhead on the premise of higher delivery rate and lower transmission delay. Apriori (dpeaa)DE-He213 Opportunistic networks (dpeaa)DE-He213 Routing algorithm (dpeaa)DE-He213 Social relationship (dpeaa)DE-He213 Shao, Saike aut Huang, Xiaoyan aut Enthalten in Peer-to-peer networking and applications New York, NY : Springer, 2008 15(2022), 4 vom: 18. Mai, Seite 1953-1963 (DE-627)565518895 (DE-600)2424434-X 1936-6450 nnns volume:15 year:2022 number:4 day:18 month:05 pages:1953-1963 https://dx.doi.org/10.1007/s12083-022-01331-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2022 4 18 05 1953-1963 |
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10.1007/s12083-022-01331-6 doi (DE-627)SPR04748182X (SPR)s12083-022-01331-6-e DE-627 ger DE-627 rakwb eng Yuan, Peiyan verfasserin (orcid)0000-0003-0023-1194 aut RAPAR: Routing algorithm based on node relationship mining in opportunistic network 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 Abstract Information-assisted routing algorithms improve the performance of mobile opportunistic networks (MONs), where node utility and packet redundancy are used in the data forwarding process. Making a tradeoff between the forwarding performance and network overhead is the key problem in MONs. In this study, we propose a multiple-copy routing scheme based on node relationship mining. This scheme considers the influence of the difference and dynamic variability of the relationship between nodes on the routing packets. First, it uses the complex contact information of the nodes to reflect the social relationship of the nodes. Second, to further reduce the network overhead, the relationship model is constructed using the Apriori algorithm to calculate the social forwarding utility of the node. The experimental results show that the proposed scheme can achieve better network performance. This effectively reduces the network overhead on the premise of higher delivery rate and lower transmission delay. Apriori (dpeaa)DE-He213 Opportunistic networks (dpeaa)DE-He213 Routing algorithm (dpeaa)DE-He213 Social relationship (dpeaa)DE-He213 Shao, Saike aut Huang, Xiaoyan aut Enthalten in Peer-to-peer networking and applications New York, NY : Springer, 2008 15(2022), 4 vom: 18. Mai, Seite 1953-1963 (DE-627)565518895 (DE-600)2424434-X 1936-6450 nnns volume:15 year:2022 number:4 day:18 month:05 pages:1953-1963 https://dx.doi.org/10.1007/s12083-022-01331-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2022 4 18 05 1953-1963 |
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Yuan, Peiyan |
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Yuan, Peiyan misc Apriori misc Opportunistic networks misc Routing algorithm misc Social relationship RAPAR: Routing algorithm based on node relationship mining in opportunistic network |
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rapar: routing algorithm based on node relationship mining in opportunistic network |
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RAPAR: Routing algorithm based on node relationship mining in opportunistic network |
| abstract |
Abstract Information-assisted routing algorithms improve the performance of mobile opportunistic networks (MONs), where node utility and packet redundancy are used in the data forwarding process. Making a tradeoff between the forwarding performance and network overhead is the key problem in MONs. In this study, we propose a multiple-copy routing scheme based on node relationship mining. This scheme considers the influence of the difference and dynamic variability of the relationship between nodes on the routing packets. First, it uses the complex contact information of the nodes to reflect the social relationship of the nodes. Second, to further reduce the network overhead, the relationship model is constructed using the Apriori algorithm to calculate the social forwarding utility of the node. The experimental results show that the proposed scheme can achieve better network performance. This effectively reduces the network overhead on the premise of higher delivery rate and lower transmission delay. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 |
| abstractGer |
Abstract Information-assisted routing algorithms improve the performance of mobile opportunistic networks (MONs), where node utility and packet redundancy are used in the data forwarding process. Making a tradeoff between the forwarding performance and network overhead is the key problem in MONs. In this study, we propose a multiple-copy routing scheme based on node relationship mining. This scheme considers the influence of the difference and dynamic variability of the relationship between nodes on the routing packets. First, it uses the complex contact information of the nodes to reflect the social relationship of the nodes. Second, to further reduce the network overhead, the relationship model is constructed using the Apriori algorithm to calculate the social forwarding utility of the node. The experimental results show that the proposed scheme can achieve better network performance. This effectively reduces the network overhead on the premise of higher delivery rate and lower transmission delay. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 |
| abstract_unstemmed |
Abstract Information-assisted routing algorithms improve the performance of mobile opportunistic networks (MONs), where node utility and packet redundancy are used in the data forwarding process. Making a tradeoff between the forwarding performance and network overhead is the key problem in MONs. In this study, we propose a multiple-copy routing scheme based on node relationship mining. This scheme considers the influence of the difference and dynamic variability of the relationship between nodes on the routing packets. First, it uses the complex contact information of the nodes to reflect the social relationship of the nodes. Second, to further reduce the network overhead, the relationship model is constructed using the Apriori algorithm to calculate the social forwarding utility of the node. The experimental results show that the proposed scheme can achieve better network performance. This effectively reduces the network overhead on the premise of higher delivery rate and lower transmission delay. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 |
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RAPAR: Routing algorithm based on node relationship mining in opportunistic network |
| url |
https://dx.doi.org/10.1007/s12083-022-01331-6 |
| remote_bool |
true |
| author2 |
Shao, Saike Huang, Xiaoyan |
| author2Str |
Shao, Saike Huang, Xiaoyan |
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c |
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false |
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| doi_str |
10.1007/s12083-022-01331-6 |
| up_date |
2024-07-04T03:16:17.826Z |
| _version_ |
1803616757032681472 |
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