IAR-GT: An Incentive Aware Routing based on Game Theory for Selfish Opportunistic Networks

• Li Li,
• Xiaoxiong Zhong,
• Yong Jiang,

Vol. 13, No. 1, January 31, 2019
10.3837/tiis.2019.01.009, Download Paper (Free):

• Selfish opportunistic networks
• incentive aware routing
• game theory

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.

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