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Conference Paper: Performance evaluation of social relation opportunistic routing in dynamic social networks

TitlePerformance evaluation of social relation opportunistic routing in dynamic social networks
Authors
KeywordsSocial Routing Protocols
Social Relations
Performance Evaluation
Packet Delivery Ratio
Mobile Social Networks
Issue Date2015
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 Identifierhttp://hdl.handle.net/10722/230987

 

DC FieldValueLanguage
dc.contributor.authorWong, Gary K W-
dc.contributor.authorChang, Yanan-
dc.contributor.authorJia, Xiaohua-
dc.contributor.authorWong, Kirk H M-
dc.contributor.authorHui, Wing Yi-
dc.date.accessioned2016-09-01T06:07:19Z-
dc.date.available2016-09-01T06:07:19Z-
dc.date.issued2015-
dc.identifier.citation2015 International Conference on Computing, Networking and Communications, ICNC 2015, 2015, p. 874-878-
dc.identifier.urihttp://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.languageeng-
dc.relation.ispartof2015 International Conference on Computing, Networking and Communications, ICNC 2015-
dc.subjectSocial Routing Protocols-
dc.subjectSocial Relations-
dc.subjectPerformance Evaluation-
dc.subjectPacket Delivery Ratio-
dc.subjectMobile Social Networks-
dc.titlePerformance evaluation of social relation opportunistic routing in dynamic social networks-
dc.typeConference_Paper-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICCNC.2015.7069461-
dc.identifier.scopuseid_2-s2.0-84928019098-
dc.identifier.spage874-
dc.identifier.epage878-

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