Node-Dependence-Based Dynamic Incentive Algorithm in Opportunistic Networks
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-28
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Opportunistic networks lack end-to-end paths between source nodes and destination nodes, so the communications are mainly carried out by the “store-carry-forward” strategy.
Selfish behaviors of rejecting packet relay requests will severely worsen the network performance.
Incentive is an efficient way to reduce selfish behaviors and hence improves the reliability and robustness of the networks.
In this paper, we propose the node-dependence-based dynamic gaming incentive (NDI) algorithm, which exploits the dynamic repeated gaming to motivate nodes relaying packets for other nodes.
The NDI algorithm presents a mechanism of tolerating selfish behaviors of nodes.
Reward and punishment methods are also designed based on the node dependence degree.
Simulation results show that the NDI algorithm is effective in increasing the delivery ratio and decreasing average latency when there are a lot of selfish nodes in the opportunistic networks.
American Psychological Association (APA)
Yu, Ruiyun& Wang, Pengfei. 2014. Node-Dependence-Based Dynamic Incentive Algorithm in Opportunistic Networks. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1044376
Modern Language Association (MLA)
Yu, Ruiyun& Wang, Pengfei. Node-Dependence-Based Dynamic Incentive Algorithm in Opportunistic Networks. Mathematical Problems in Engineering No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-1044376
American Medical Association (AMA)
Yu, Ruiyun& Wang, Pengfei. Node-Dependence-Based Dynamic Incentive Algorithm in Opportunistic Networks. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1044376
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1044376