Learning for Robust Routing Based on Stochastic Game in Cognitive Radio Networks
| dc.contributor.author | Wang, Wenbo | |
| dc.contributor.author | Kwasinski, Andres | |
| dc.contributor.author | Niyato, Dusit | |
| dc.contributor.author | Han, Zhu | |
| dc.date.accessioned | 2020-05-11T16:13:52Z | |
| dc.date.available | 2020-05-11T16:13:52Z | |
| dc.date.issued | 1/30/2018 | |
| dc.description.abstract | This paper studies the problem of spectrum-aware routing in a multi-hop, multi-channel cognitive radio network when malicious nodes in the secondary network attempt to block the path with mixed attacks. Based on the location and time-variant path delay information, we model the path discovery process as a non-cooperative stochastic game. By exploiting the structure of the underlying Markov Decision Process, we decompose the stochastic routing game into a series of stage games. For each stage game, we propose a distributed strategy learning mechanism based on stochastic fictitious play to learn the equilibrium strategies of joint relay-channel selection in the condition of both limited information exchange and potential routing-toward-primary attacks. We also introduce a trustworthiness evaluation mechanism based on a multi-arm bandit process for normal users to avoid relaying to the sink-hole attackers. Simulation results show that without the need of information flooding, the proposed algorithm is efficient in bypassing the malicious nodes with mixed attacks. | |
| dc.identifier.citation | Copyright 2016 IEEE Transactions on Wireless Communications. This is a pre-print version of a published paper that is available at: https://ieeexplore.ieee.org/abstract/document/8272421. Recommended citation: Wang, Wenbo, Andres Kwasinski, Dusit Niyato, and Zhu Han. "Learning for robust routing based on stochastic game in cognitive radio networks." IEEE Transactions on Communications 66, no. 6 (2018): 2588-2602. This item has been deposited in accordance with publisher copyright and licensing terms and with the author's permission. | |
| dc.identifier.uri | https://hdl.handle.net/10657/6417 | |
| dc.publisher | IEEE Transactions on Communications | |
| dc.subject | Cognitive radio networks | |
| dc.subject | spectrum-aware routing | |
| dc.subject | stochastic game | |
| dc.subject | two timescale learning | |
| dc.title | Learning for Robust Routing Based on Stochastic Game in Cognitive Radio Networks | |
| dc.type | Article |