Performance evaluation of social relation opportunistic routing in dynamic social networks

Gary K.W. Wong, Yanan Chang, Xiaohua Jia, Kirk H.M. Wong, Wing Yi Hui

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2015 International Conference on Computing, Networking and Communications, ICNC 2015
Pages874-878
Number of pages5
ISBN (Electronic)9781479969593
DOIs
Publication statusPublished - 26 Mar 2015
Event2015 International Conference on Computing, Networking and Communications, ICNC 2015 - Garden Grove, United States
Duration: 16 Feb 201519 Feb 2015

Publication series

Name2015 International Conference on Computing, Networking and Communications, ICNC 2015

Conference

Conference2015 International Conference on Computing, Networking and Communications, ICNC 2015
Country/TerritoryUnited States
CityGarden Grove
Period16/02/1519/02/15

Keywords

  • Mobile Social Networks
  • Packet Delivery Ratio
  • Performance Evaluation
  • Social Relations
  • Social Routing Protocols

Fingerprint

Dive into the research topics of 'Performance evaluation of social relation opportunistic routing in dynamic social networks'. Together they form a unique fingerprint.

Cite this