TY - GEN
T1 - Exploiting partial centrality of nodes for data forwarding in mobile opportunistic networks
AU - Yuan, Peiyan
AU - Liu, Ping
AU - Tang, Shaojie
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/1/26
Y1 - 2015/1/26
N2 - The social-based forwarding scheme has recently been shown to be an effective solution to improve the performance of opportunistic routing. Most of the current works focus on the globally defined node centrality, resulting in a bias towards the most popular nodes. However, these nodes may not be appropriate relay candidates for some target nodes, because they may have low importance relative to these subsets of target nodes. In this paper, to improve the opportunistic forwarding efficiency, we exploit the relative importance (called partial centrality) of a node with respect to a group of nodes. We design a new opportunistic forwarding scheme, opportunistic forwarding with partial centrality (OFPC), and theoretically quantify the influence of the partial centrality on the data forwarding performance using graph spectrum. By applying our scheme on three real opportunistic networking scenarios, our extensive evaluations show that the OFPC achieves significantly better mean delivery delay and cost compared to the state-of-the-art works, while achieving delivery ratios sufficiently close to those by Epidemic under different TTL requirements.
AB - The social-based forwarding scheme has recently been shown to be an effective solution to improve the performance of opportunistic routing. Most of the current works focus on the globally defined node centrality, resulting in a bias towards the most popular nodes. However, these nodes may not be appropriate relay candidates for some target nodes, because they may have low importance relative to these subsets of target nodes. In this paper, to improve the opportunistic forwarding efficiency, we exploit the relative importance (called partial centrality) of a node with respect to a group of nodes. We design a new opportunistic forwarding scheme, opportunistic forwarding with partial centrality (OFPC), and theoretically quantify the influence of the partial centrality on the data forwarding performance using graph spectrum. By applying our scheme on three real opportunistic networking scenarios, our extensive evaluations show that the OFPC achieves significantly better mean delivery delay and cost compared to the state-of-the-art works, while achieving delivery ratios sufficiently close to those by Epidemic under different TTL requirements.
KW - Data forwarding
KW - Mobile opportunistic networks
KW - Partial centrality
KW - Performance evaluation
UR - https://www.scopus.com/pages/publications/84925275798
U2 - 10.1109/CSE.2014.270
DO - 10.1109/CSE.2014.270
M3 - Conference contribution
AN - SCOPUS:84925275798
T3 - Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014
SP - 1435
EP - 1442
BT - Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014
A2 - Liu, Xingang
A2 - El Baz, Didier
A2 - Hsu, Ching-Hsien
A2 - Kang, Kai
A2 - Chen, Weifeng
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014
Y2 - 19 December 2014 through 21 December 2014
ER -