Title
Self-Interest-Driven incentives for ad dissemination in autonomous mobile social networks
Abstract
In this paper, we propose a Self-Interest-Driven (SID) incentive scheme to stimulate cooperation among selfish nodes for ad dissemination in autonomous mobile social networks. As a key innovation of SID, we introduce “virtual checks” to eliminate the needs of accurate knowledge about whom and how many credits ad provider should pay. A virtual check is included in each ad packet. When an intended receiver receives the packet for the first time from an intermediate node, the former authorizes the latter a digitally signed check, which serves as a proof of successful ad delivery. Multiple copies of a virtual check can be created and signed by different receivers. When a node that owns a signed check meets the ad provider, it requests the provider to cash the check. Both ad packets and signed checks can be traded among mobile nodes. We propose the effective mechanisms to define virtual rewards for ad packets and virtual checks, and formulate the nodal interaction as a two-player cooperative game, whose solution is obtained by the Nash Bargaining Theorem. Extensive simulations are carried out to compare SID with other existing incentive algorithms under real world mobility traces.
Year
DOI
Venue
2013
10.1109/INFCOM.2013.6567035
INFOCOM
Keywords
Field
DocType
ad delivery,two-player cooperative game,ad dissemination,sid incentive scheme,nodal interaction,virtual rewards,self-interest-driven incentives,game theory,ad packet,autonomous mobile social networks,digitally signed check,social networking (online),virtual check,advertising data processing,nash bargaining theorem,mobile computing,real world mobility traces,games
Mobile computing,Social network,Incentive,Computer science,Computer security,Network packet,Computer network,Digital signature,Game theory,Distributed computing,Bargaining problem,Cash
Conference
ISSN
ISBN
Citations 
0743-166X
978-1-4673-5944-3
37
PageRank 
References 
Authors
1.01
21
4
Name
Order
Citations
PageRank
Ting Ning1884.26
Zhipeng Yang21328.57
Hongyi Wu384876.90
Zhu Han411215760.71