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- Publisher Website: 10.1109/ICCNC.2015.7069461
- Scopus: eid_2-s2.0-84928019098
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Conference Paper: Performance evaluation of social relation opportunistic routing in dynamic social networks
Title | Performance evaluation of social relation opportunistic routing in dynamic social networks |
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Authors | |
Keywords | Social Routing Protocols Social Relations Performance Evaluation Packet Delivery Ratio Mobile Social Networks |
Issue Date | 2015 |
Citation | 2015 International Conference on Computing, Networking and Communications, ICNC 2015, 2015, p. 874-878 How to Cite? |
Abstract | © 2015 IEEE.Social wireless and mobile networks have received more attentions over the recent years. Previously, we proposed the Social Relation Opportunistic Routing (SROR) algorithm for mobile social networks, and introduced the social relations and profiles among nodes as the key metrics to compute the optimal forwarding node in routing such that the packet delivery probability is maximized. In this paper, we aim to extend the performance evaluation of the algorithm by considering the packet delivery probability and the algorithm efficiency metrics to assess the effectiveness of our proposed SROR protocol. Given the dynamic social environments, the results outperform the existing Social Pressure Method algorithm as well as the benchmark algorithms, namely Prophet, SimBet, and Fresh, targeting a similar scenario. The results further verify the validity of our SROR algorithm under a delay tolerant environment. |
Persistent Identifier | http://hdl.handle.net/10722/230987 |
DC Field | Value | Language |
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dc.contributor.author | Wong, Gary K W | - |
dc.contributor.author | Chang, Yanan | - |
dc.contributor.author | Jia, Xiaohua | - |
dc.contributor.author | Wong, Kirk H M | - |
dc.contributor.author | Hui, Wing Yi | - |
dc.date.accessioned | 2016-09-01T06:07:19Z | - |
dc.date.available | 2016-09-01T06:07:19Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | 2015 International Conference on Computing, Networking and Communications, ICNC 2015, 2015, p. 874-878 | - |
dc.identifier.uri | http://hdl.handle.net/10722/230987 | - |
dc.description.abstract | © 2015 IEEE.Social wireless and mobile networks have received more attentions over the recent years. Previously, we proposed the Social Relation Opportunistic Routing (SROR) algorithm for mobile social networks, and introduced the social relations and profiles among nodes as the key metrics to compute the optimal forwarding node in routing such that the packet delivery probability is maximized. In this paper, we aim to extend the performance evaluation of the algorithm by considering the packet delivery probability and the algorithm efficiency metrics to assess the effectiveness of our proposed SROR protocol. Given the dynamic social environments, the results outperform the existing Social Pressure Method algorithm as well as the benchmark algorithms, namely Prophet, SimBet, and Fresh, targeting a similar scenario. The results further verify the validity of our SROR algorithm under a delay tolerant environment. | - |
dc.language | eng | - |
dc.relation.ispartof | 2015 International Conference on Computing, Networking and Communications, ICNC 2015 | - |
dc.subject | Social Routing Protocols | - |
dc.subject | Social Relations | - |
dc.subject | Performance Evaluation | - |
dc.subject | Packet Delivery Ratio | - |
dc.subject | Mobile Social Networks | - |
dc.title | Performance evaluation of social relation opportunistic routing in dynamic social networks | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/ICCNC.2015.7069461 | - |
dc.identifier.scopus | eid_2-s2.0-84928019098 | - |
dc.identifier.spage | 874 | - |
dc.identifier.epage | 878 | - |