A Data Transmission Scheme Based on Time-Evolving Meeting Probability for Opportunistic Social Network
With its widespread application prospects, opportunistic social network attracts more and more attention. Efficient data transmission strategy is one of the most important issues to ensure its applications. As is well known, most of nodes in opportunistic social network are human-carried devices, so...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-07-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/123428 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849398810450591744 |
|---|---|
| author | Fu Xiao Guoxia Sun Jia Xu Lingyun Jiang Ruchuan Wang |
| author_facet | Fu Xiao Guoxia Sun Jia Xu Lingyun Jiang Ruchuan Wang |
| author_sort | Fu Xiao |
| collection | DOAJ |
| description | With its widespread application prospects, opportunistic social network attracts more and more attention. Efficient data transmission strategy is one of the most important issues to ensure its applications. As is well known, most of nodes in opportunistic social network are human-carried devices, so encounters between nodes are predictable when considering the law of human activities. To the best of our knowledge, existing data transmission solutions are less accurate in the prediction of node encounters due to their lack of consideration of the dynamism of users' behavior. To address this problem, a novel data transmission solution, based on time-evolving meeting probability for opportunistic social network, called TEMP is introduced, and corresponding copy management strategy is given to reduce the message redundancy. Simulation results based on real human traces show that TEMP achieves a good compromise in terms of delivery probability and overhead ratio. |
| format | Article |
| id | doaj-art-9f20976f893e414eba1f3dba2f19c5cb |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2013-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-9f20976f893e414eba1f3dba2f19c5cb2025-08-20T03:38:30ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-07-01910.1155/2013/123428A Data Transmission Scheme Based on Time-Evolving Meeting Probability for Opportunistic Social NetworkFu Xiao0Guoxia Sun1Jia Xu2Lingyun Jiang3Ruchuan Wang4 Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications), Ministry of Education Jiangsu Province, Nanjing, Jiangsu 210003, China College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, China Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications), Ministry of Education Jiangsu Province, Nanjing, Jiangsu 210003, China Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications), Ministry of Education Jiangsu Province, Nanjing, Jiangsu 210003, China Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications), Ministry of Education Jiangsu Province, Nanjing, Jiangsu 210003, ChinaWith its widespread application prospects, opportunistic social network attracts more and more attention. Efficient data transmission strategy is one of the most important issues to ensure its applications. As is well known, most of nodes in opportunistic social network are human-carried devices, so encounters between nodes are predictable when considering the law of human activities. To the best of our knowledge, existing data transmission solutions are less accurate in the prediction of node encounters due to their lack of consideration of the dynamism of users' behavior. To address this problem, a novel data transmission solution, based on time-evolving meeting probability for opportunistic social network, called TEMP is introduced, and corresponding copy management strategy is given to reduce the message redundancy. Simulation results based on real human traces show that TEMP achieves a good compromise in terms of delivery probability and overhead ratio.https://doi.org/10.1155/2013/123428 |
| spellingShingle | Fu Xiao Guoxia Sun Jia Xu Lingyun Jiang Ruchuan Wang A Data Transmission Scheme Based on Time-Evolving Meeting Probability for Opportunistic Social Network International Journal of Distributed Sensor Networks |
| title | A Data Transmission Scheme Based on Time-Evolving Meeting Probability for Opportunistic Social Network |
| title_full | A Data Transmission Scheme Based on Time-Evolving Meeting Probability for Opportunistic Social Network |
| title_fullStr | A Data Transmission Scheme Based on Time-Evolving Meeting Probability for Opportunistic Social Network |
| title_full_unstemmed | A Data Transmission Scheme Based on Time-Evolving Meeting Probability for Opportunistic Social Network |
| title_short | A Data Transmission Scheme Based on Time-Evolving Meeting Probability for Opportunistic Social Network |
| title_sort | data transmission scheme based on time evolving meeting probability for opportunistic social network |
| url | https://doi.org/10.1155/2013/123428 |
| work_keys_str_mv | AT fuxiao adatatransmissionschemebasedontimeevolvingmeetingprobabilityforopportunisticsocialnetwork AT guoxiasun adatatransmissionschemebasedontimeevolvingmeetingprobabilityforopportunisticsocialnetwork AT jiaxu adatatransmissionschemebasedontimeevolvingmeetingprobabilityforopportunisticsocialnetwork AT lingyunjiang adatatransmissionschemebasedontimeevolvingmeetingprobabilityforopportunisticsocialnetwork AT ruchuanwang adatatransmissionschemebasedontimeevolvingmeetingprobabilityforopportunisticsocialnetwork AT fuxiao datatransmissionschemebasedontimeevolvingmeetingprobabilityforopportunisticsocialnetwork AT guoxiasun datatransmissionschemebasedontimeevolvingmeetingprobabilityforopportunisticsocialnetwork AT jiaxu datatransmissionschemebasedontimeevolvingmeetingprobabilityforopportunisticsocialnetwork AT lingyunjiang datatransmissionschemebasedontimeevolvingmeetingprobabilityforopportunisticsocialnetwork AT ruchuanwang datatransmissionschemebasedontimeevolvingmeetingprobabilityforopportunisticsocialnetwork |