Vol. 13, No. 1, January 31, 2019
10.3837/tiis.2019.01.009,
Download Paper (Free):
Abstract
In opportunistic networks, nodes may appear some selfishness while transmitting the message, however, most of the existing research works consider the individual selfishness or social selfishness respectively, and these two types of selfishness may coexist in opportunistic networks. In this paper, we propose an Incentive Aware Routing based on Game Theory for selfish OPPNETs, named IAR-GT, which uses Rubinstein-Stahl bargaining game model to incentivize selfish nodes cooperation in data forwarding. IAR-GT scheme not only considers the resources of nodes, but also uses a new method to calculate the social ties between them. Trace-driven simulations show that our incentive aware routing scheme achieves better performances than comparing schemes under two types of selfishness coexistence environments.
Statistics
Show / Hide Statistics
Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.
Cite this article
[IEEE Style]
L. Li, X. Zhong and Y. Jiang, "IAR-GT: An Incentive Aware Routing based on Game Theory for Selfish Opportunistic Networks," KSII Transactions on Internet and Information Systems, vol. 13, no. 1, pp. 152-171, 2019. DOI: 10.3837/tiis.2019.01.009.
[ACM Style]
Li Li, Xiaoxiong Zhong, and Yong Jiang. 2019. IAR-GT: An Incentive Aware Routing based on Game Theory for Selfish Opportunistic Networks. KSII Transactions on Internet and Information Systems, 13, 1, (2019), 152-171. DOI: 10.3837/tiis.2019.01.009.