RIM: Relative-importance based data forwarding in people-centric networks
The fast penetration of mobile phones has arisen the requirement to share content (e.g., news, photo, music, video clips, etc.) among devices. To improve the efficiency of content sharing, recent works select nodes with high centrality in the system to cache and forward contents, resulting in a bias...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yuan, Peiyan [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016transfer abstract |
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| Schlagwörter: |
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| Umfang: |
12 |
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| Übergeordnetes Werk: |
Enthalten in: Claude C. Roy, MD, October 21, 1928–July 2, 2015 - Alvarez, Fernando ELSEVIER, 2015, London |
|---|---|
| Übergeordnetes Werk: |
volume:62 ; year:2016 ; pages:100-111 ; extent:12 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.jnca.2015.12.007 |
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ELV024758914 |
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| 520 | |a The fast penetration of mobile phones has arisen the requirement to share content (e.g., news, photo, music, video clips, etc.) among devices. To improve the efficiency of content sharing, recent works select nodes with high centrality in the system to cache and forward contents, resulting in a bias towards the most popular nodes. However, these nodes are not the appropriate candidates for target nodes, since the globally powerful nodes may have little influence on some local communities where the targets belong. Interestingly, we observe that nodes with low global centrality but high relative importance to the targets bear most weight on content allocation. Motivated by this observation, we exploit the relative importance of a node with respect to a group of nodes to guide the allocation process. We quantify the relative importance of nodes using graph spectrum theory, we then propose RIM (Relative IMportance), a novel data forwarding scheme to improve the allocation efficiency. By applying RIM on three real people-centric scenarios, the evaluation results show that RIM achieves significantly better mean delivery delay and cost than the state-of-the-art solutions, while achieving delivery ratios sufficiently close to those by Epidemic under different message TTL requirements. | ||
| 520 | |a The fast penetration of mobile phones has arisen the requirement to share content (e.g., news, photo, music, video clips, etc.) among devices. To improve the efficiency of content sharing, recent works select nodes with high centrality in the system to cache and forward contents, resulting in a bias towards the most popular nodes. However, these nodes are not the appropriate candidates for target nodes, since the globally powerful nodes may have little influence on some local communities where the targets belong. Interestingly, we observe that nodes with low global centrality but high relative importance to the targets bear most weight on content allocation. Motivated by this observation, we exploit the relative importance of a node with respect to a group of nodes to guide the allocation process. We quantify the relative importance of nodes using graph spectrum theory, we then propose RIM (Relative IMportance), a novel data forwarding scheme to improve the allocation efficiency. By applying RIM on three real people-centric scenarios, the evaluation results show that RIM achieves significantly better mean delivery delay and cost than the state-of-the-art solutions, while achieving delivery ratios sufficiently close to those by Epidemic under different message TTL requirements. | ||
| 650 | 7 | |a Relative importance |2 Elsevier | |
| 650 | 7 | |a Graph spectrum |2 Elsevier | |
| 650 | 7 | |a Content allocation |2 Elsevier | |
| 650 | 7 | |a People-centric networks |2 Elsevier | |
| 650 | 7 | |a Data forwarding |2 Elsevier | |
| 700 | 1 | |a Liu, Ping |4 oth | |
| 700 | 1 | |a Tang, Shaojie |4 oth | |
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10.1016/j.jnca.2015.12.007 doi GBVA2016019000002.pica (DE-627)ELV024758914 (ELSEVIER)S1084-8045(15)00300-8 DE-627 ger DE-627 rakwb eng 004 004 DE-600 610 VZ 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl 42.15 bkl Yuan, Peiyan verfasserin aut RIM: Relative-importance based data forwarding in people-centric networks 2016transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The fast penetration of mobile phones has arisen the requirement to share content (e.g., news, photo, music, video clips, etc.) among devices. To improve the efficiency of content sharing, recent works select nodes with high centrality in the system to cache and forward contents, resulting in a bias towards the most popular nodes. However, these nodes are not the appropriate candidates for target nodes, since the globally powerful nodes may have little influence on some local communities where the targets belong. Interestingly, we observe that nodes with low global centrality but high relative importance to the targets bear most weight on content allocation. Motivated by this observation, we exploit the relative importance of a node with respect to a group of nodes to guide the allocation process. We quantify the relative importance of nodes using graph spectrum theory, we then propose RIM (Relative IMportance), a novel data forwarding scheme to improve the allocation efficiency. By applying RIM on three real people-centric scenarios, the evaluation results show that RIM achieves significantly better mean delivery delay and cost than the state-of-the-art solutions, while achieving delivery ratios sufficiently close to those by Epidemic under different message TTL requirements. The fast penetration of mobile phones has arisen the requirement to share content (e.g., news, photo, music, video clips, etc.) among devices. To improve the efficiency of content sharing, recent works select nodes with high centrality in the system to cache and forward contents, resulting in a bias towards the most popular nodes. However, these nodes are not the appropriate candidates for target nodes, since the globally powerful nodes may have little influence on some local communities where the targets belong. Interestingly, we observe that nodes with low global centrality but high relative importance to the targets bear most weight on content allocation. Motivated by this observation, we exploit the relative importance of a node with respect to a group of nodes to guide the allocation process. We quantify the relative importance of nodes using graph spectrum theory, we then propose RIM (Relative IMportance), a novel data forwarding scheme to improve the allocation efficiency. By applying RIM on three real people-centric scenarios, the evaluation results show that RIM achieves significantly better mean delivery delay and cost than the state-of-the-art solutions, while achieving delivery ratios sufficiently close to those by Epidemic under different message TTL requirements. Relative importance Elsevier Graph spectrum Elsevier Content allocation Elsevier People-centric networks Elsevier Data forwarding Elsevier Liu, Ping oth Tang, Shaojie oth Enthalten in Academic Press Alvarez, Fernando ELSEVIER Claude C. Roy, MD, October 21, 1928–July 2, 2015 2015 London (DE-627)ELV013451553 volume:62 year:2016 pages:100-111 extent:12 https://doi.org/10.1016/j.jnca.2015.12.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_40 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ 42.15 Zellbiologie VZ AR 62 2016 100-111 12 045F 004 |
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10.1016/j.jnca.2015.12.007 doi GBVA2016019000002.pica (DE-627)ELV024758914 (ELSEVIER)S1084-8045(15)00300-8 DE-627 ger DE-627 rakwb eng 004 004 DE-600 610 VZ 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl 42.15 bkl Yuan, Peiyan verfasserin aut RIM: Relative-importance based data forwarding in people-centric networks 2016transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The fast penetration of mobile phones has arisen the requirement to share content (e.g., news, photo, music, video clips, etc.) among devices. To improve the efficiency of content sharing, recent works select nodes with high centrality in the system to cache and forward contents, resulting in a bias towards the most popular nodes. However, these nodes are not the appropriate candidates for target nodes, since the globally powerful nodes may have little influence on some local communities where the targets belong. Interestingly, we observe that nodes with low global centrality but high relative importance to the targets bear most weight on content allocation. Motivated by this observation, we exploit the relative importance of a node with respect to a group of nodes to guide the allocation process. We quantify the relative importance of nodes using graph spectrum theory, we then propose RIM (Relative IMportance), a novel data forwarding scheme to improve the allocation efficiency. By applying RIM on three real people-centric scenarios, the evaluation results show that RIM achieves significantly better mean delivery delay and cost than the state-of-the-art solutions, while achieving delivery ratios sufficiently close to those by Epidemic under different message TTL requirements. The fast penetration of mobile phones has arisen the requirement to share content (e.g., news, photo, music, video clips, etc.) among devices. To improve the efficiency of content sharing, recent works select nodes with high centrality in the system to cache and forward contents, resulting in a bias towards the most popular nodes. However, these nodes are not the appropriate candidates for target nodes, since the globally powerful nodes may have little influence on some local communities where the targets belong. Interestingly, we observe that nodes with low global centrality but high relative importance to the targets bear most weight on content allocation. Motivated by this observation, we exploit the relative importance of a node with respect to a group of nodes to guide the allocation process. We quantify the relative importance of nodes using graph spectrum theory, we then propose RIM (Relative IMportance), a novel data forwarding scheme to improve the allocation efficiency. By applying RIM on three real people-centric scenarios, the evaluation results show that RIM achieves significantly better mean delivery delay and cost than the state-of-the-art solutions, while achieving delivery ratios sufficiently close to those by Epidemic under different message TTL requirements. Relative importance Elsevier Graph spectrum Elsevier Content allocation Elsevier People-centric networks Elsevier Data forwarding Elsevier Liu, Ping oth Tang, Shaojie oth Enthalten in Academic Press Alvarez, Fernando ELSEVIER Claude C. Roy, MD, October 21, 1928–July 2, 2015 2015 London (DE-627)ELV013451553 volume:62 year:2016 pages:100-111 extent:12 https://doi.org/10.1016/j.jnca.2015.12.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_40 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ 42.15 Zellbiologie VZ AR 62 2016 100-111 12 045F 004 |
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10.1016/j.jnca.2015.12.007 doi GBVA2016019000002.pica (DE-627)ELV024758914 (ELSEVIER)S1084-8045(15)00300-8 DE-627 ger DE-627 rakwb eng 004 004 DE-600 610 VZ 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl 42.15 bkl Yuan, Peiyan verfasserin aut RIM: Relative-importance based data forwarding in people-centric networks 2016transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The fast penetration of mobile phones has arisen the requirement to share content (e.g., news, photo, music, video clips, etc.) among devices. To improve the efficiency of content sharing, recent works select nodes with high centrality in the system to cache and forward contents, resulting in a bias towards the most popular nodes. However, these nodes are not the appropriate candidates for target nodes, since the globally powerful nodes may have little influence on some local communities where the targets belong. Interestingly, we observe that nodes with low global centrality but high relative importance to the targets bear most weight on content allocation. Motivated by this observation, we exploit the relative importance of a node with respect to a group of nodes to guide the allocation process. We quantify the relative importance of nodes using graph spectrum theory, we then propose RIM (Relative IMportance), a novel data forwarding scheme to improve the allocation efficiency. By applying RIM on three real people-centric scenarios, the evaluation results show that RIM achieves significantly better mean delivery delay and cost than the state-of-the-art solutions, while achieving delivery ratios sufficiently close to those by Epidemic under different message TTL requirements. The fast penetration of mobile phones has arisen the requirement to share content (e.g., news, photo, music, video clips, etc.) among devices. To improve the efficiency of content sharing, recent works select nodes with high centrality in the system to cache and forward contents, resulting in a bias towards the most popular nodes. However, these nodes are not the appropriate candidates for target nodes, since the globally powerful nodes may have little influence on some local communities where the targets belong. Interestingly, we observe that nodes with low global centrality but high relative importance to the targets bear most weight on content allocation. Motivated by this observation, we exploit the relative importance of a node with respect to a group of nodes to guide the allocation process. We quantify the relative importance of nodes using graph spectrum theory, we then propose RIM (Relative IMportance), a novel data forwarding scheme to improve the allocation efficiency. By applying RIM on three real people-centric scenarios, the evaluation results show that RIM achieves significantly better mean delivery delay and cost than the state-of-the-art solutions, while achieving delivery ratios sufficiently close to those by Epidemic under different message TTL requirements. Relative importance Elsevier Graph spectrum Elsevier Content allocation Elsevier People-centric networks Elsevier Data forwarding Elsevier Liu, Ping oth Tang, Shaojie oth Enthalten in Academic Press Alvarez, Fernando ELSEVIER Claude C. Roy, MD, October 21, 1928–July 2, 2015 2015 London (DE-627)ELV013451553 volume:62 year:2016 pages:100-111 extent:12 https://doi.org/10.1016/j.jnca.2015.12.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_40 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ 42.15 Zellbiologie VZ AR 62 2016 100-111 12 045F 004 |
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10.1016/j.jnca.2015.12.007 doi GBVA2016019000002.pica (DE-627)ELV024758914 (ELSEVIER)S1084-8045(15)00300-8 DE-627 ger DE-627 rakwb eng 004 004 DE-600 610 VZ 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl 42.15 bkl Yuan, Peiyan verfasserin aut RIM: Relative-importance based data forwarding in people-centric networks 2016transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The fast penetration of mobile phones has arisen the requirement to share content (e.g., news, photo, music, video clips, etc.) among devices. To improve the efficiency of content sharing, recent works select nodes with high centrality in the system to cache and forward contents, resulting in a bias towards the most popular nodes. However, these nodes are not the appropriate candidates for target nodes, since the globally powerful nodes may have little influence on some local communities where the targets belong. Interestingly, we observe that nodes with low global centrality but high relative importance to the targets bear most weight on content allocation. Motivated by this observation, we exploit the relative importance of a node with respect to a group of nodes to guide the allocation process. We quantify the relative importance of nodes using graph spectrum theory, we then propose RIM (Relative IMportance), a novel data forwarding scheme to improve the allocation efficiency. By applying RIM on three real people-centric scenarios, the evaluation results show that RIM achieves significantly better mean delivery delay and cost than the state-of-the-art solutions, while achieving delivery ratios sufficiently close to those by Epidemic under different message TTL requirements. The fast penetration of mobile phones has arisen the requirement to share content (e.g., news, photo, music, video clips, etc.) among devices. To improve the efficiency of content sharing, recent works select nodes with high centrality in the system to cache and forward contents, resulting in a bias towards the most popular nodes. However, these nodes are not the appropriate candidates for target nodes, since the globally powerful nodes may have little influence on some local communities where the targets belong. Interestingly, we observe that nodes with low global centrality but high relative importance to the targets bear most weight on content allocation. Motivated by this observation, we exploit the relative importance of a node with respect to a group of nodes to guide the allocation process. We quantify the relative importance of nodes using graph spectrum theory, we then propose RIM (Relative IMportance), a novel data forwarding scheme to improve the allocation efficiency. By applying RIM on three real people-centric scenarios, the evaluation results show that RIM achieves significantly better mean delivery delay and cost than the state-of-the-art solutions, while achieving delivery ratios sufficiently close to those by Epidemic under different message TTL requirements. Relative importance Elsevier Graph spectrum Elsevier Content allocation Elsevier People-centric networks Elsevier Data forwarding Elsevier Liu, Ping oth Tang, Shaojie oth Enthalten in Academic Press Alvarez, Fernando ELSEVIER Claude C. Roy, MD, October 21, 1928–July 2, 2015 2015 London (DE-627)ELV013451553 volume:62 year:2016 pages:100-111 extent:12 https://doi.org/10.1016/j.jnca.2015.12.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_40 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ 42.15 Zellbiologie VZ AR 62 2016 100-111 12 045F 004 |
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10.1016/j.jnca.2015.12.007 doi GBVA2016019000002.pica (DE-627)ELV024758914 (ELSEVIER)S1084-8045(15)00300-8 DE-627 ger DE-627 rakwb eng 004 004 DE-600 610 VZ 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl 42.15 bkl Yuan, Peiyan verfasserin aut RIM: Relative-importance based data forwarding in people-centric networks 2016transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The fast penetration of mobile phones has arisen the requirement to share content (e.g., news, photo, music, video clips, etc.) among devices. To improve the efficiency of content sharing, recent works select nodes with high centrality in the system to cache and forward contents, resulting in a bias towards the most popular nodes. However, these nodes are not the appropriate candidates for target nodes, since the globally powerful nodes may have little influence on some local communities where the targets belong. Interestingly, we observe that nodes with low global centrality but high relative importance to the targets bear most weight on content allocation. Motivated by this observation, we exploit the relative importance of a node with respect to a group of nodes to guide the allocation process. We quantify the relative importance of nodes using graph spectrum theory, we then propose RIM (Relative IMportance), a novel data forwarding scheme to improve the allocation efficiency. By applying RIM on three real people-centric scenarios, the evaluation results show that RIM achieves significantly better mean delivery delay and cost than the state-of-the-art solutions, while achieving delivery ratios sufficiently close to those by Epidemic under different message TTL requirements. The fast penetration of mobile phones has arisen the requirement to share content (e.g., news, photo, music, video clips, etc.) among devices. To improve the efficiency of content sharing, recent works select nodes with high centrality in the system to cache and forward contents, resulting in a bias towards the most popular nodes. However, these nodes are not the appropriate candidates for target nodes, since the globally powerful nodes may have little influence on some local communities where the targets belong. Interestingly, we observe that nodes with low global centrality but high relative importance to the targets bear most weight on content allocation. Motivated by this observation, we exploit the relative importance of a node with respect to a group of nodes to guide the allocation process. We quantify the relative importance of nodes using graph spectrum theory, we then propose RIM (Relative IMportance), a novel data forwarding scheme to improve the allocation efficiency. By applying RIM on three real people-centric scenarios, the evaluation results show that RIM achieves significantly better mean delivery delay and cost than the state-of-the-art solutions, while achieving delivery ratios sufficiently close to those by Epidemic under different message TTL requirements. Relative importance Elsevier Graph spectrum Elsevier Content allocation Elsevier People-centric networks Elsevier Data forwarding Elsevier Liu, Ping oth Tang, Shaojie oth Enthalten in Academic Press Alvarez, Fernando ELSEVIER Claude C. Roy, MD, October 21, 1928–July 2, 2015 2015 London (DE-627)ELV013451553 volume:62 year:2016 pages:100-111 extent:12 https://doi.org/10.1016/j.jnca.2015.12.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_40 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ 42.15 Zellbiologie VZ AR 62 2016 100-111 12 045F 004 |
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The fast penetration of mobile phones has arisen the requirement to share content (e.g., news, photo, music, video clips, etc.) among devices. To improve the efficiency of content sharing, recent works select nodes with high centrality in the system to cache and forward contents, resulting in a bias towards the most popular nodes. However, these nodes are not the appropriate candidates for target nodes, since the globally powerful nodes may have little influence on some local communities where the targets belong. Interestingly, we observe that nodes with low global centrality but high relative importance to the targets bear most weight on content allocation. Motivated by this observation, we exploit the relative importance of a node with respect to a group of nodes to guide the allocation process. We quantify the relative importance of nodes using graph spectrum theory, we then propose RIM (Relative IMportance), a novel data forwarding scheme to improve the allocation efficiency. By applying RIM on three real people-centric scenarios, the evaluation results show that RIM achieves significantly better mean delivery delay and cost than the state-of-the-art solutions, while achieving delivery ratios sufficiently close to those by Epidemic under different message TTL requirements. |
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The fast penetration of mobile phones has arisen the requirement to share content (e.g., news, photo, music, video clips, etc.) among devices. To improve the efficiency of content sharing, recent works select nodes with high centrality in the system to cache and forward contents, resulting in a bias towards the most popular nodes. However, these nodes are not the appropriate candidates for target nodes, since the globally powerful nodes may have little influence on some local communities where the targets belong. Interestingly, we observe that nodes with low global centrality but high relative importance to the targets bear most weight on content allocation. Motivated by this observation, we exploit the relative importance of a node with respect to a group of nodes to guide the allocation process. We quantify the relative importance of nodes using graph spectrum theory, we then propose RIM (Relative IMportance), a novel data forwarding scheme to improve the allocation efficiency. By applying RIM on three real people-centric scenarios, the evaluation results show that RIM achieves significantly better mean delivery delay and cost than the state-of-the-art solutions, while achieving delivery ratios sufficiently close to those by Epidemic under different message TTL requirements. |
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The fast penetration of mobile phones has arisen the requirement to share content (e.g., news, photo, music, video clips, etc.) among devices. To improve the efficiency of content sharing, recent works select nodes with high centrality in the system to cache and forward contents, resulting in a bias towards the most popular nodes. However, these nodes are not the appropriate candidates for target nodes, since the globally powerful nodes may have little influence on some local communities where the targets belong. Interestingly, we observe that nodes with low global centrality but high relative importance to the targets bear most weight on content allocation. Motivated by this observation, we exploit the relative importance of a node with respect to a group of nodes to guide the allocation process. We quantify the relative importance of nodes using graph spectrum theory, we then propose RIM (Relative IMportance), a novel data forwarding scheme to improve the allocation efficiency. By applying RIM on three real people-centric scenarios, the evaluation results show that RIM achieves significantly better mean delivery delay and cost than the state-of-the-art solutions, while achieving delivery ratios sufficiently close to those by Epidemic under different message TTL requirements. |
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