EECoopVANETs13-short-v8.pdf (4.71 MB)
Self-organized relay selection for cooperative transmission in vehicular ad-hoc networks
journal contribution
posted on 2023-06-09, 06:39 authored by Daxin Tian, jianshan zhou, Zhengguo ShengZhengguo Sheng, min chen, Qiang Ni, Victor LeungCooperation is a promising paradigm to improve spatial diversity in vehicular ad-hoc networks. In this paper, we pose a fundamental question: how the greediness and selfishness of individual nodes impact cooperation dynamics in vehicular ad-hoc networks. We map the self-interest-driven relay selection decision-making problem to an automata game formulation and present a non-cooperative game-theoretic analysis. We show that the relay selection game is an ordinal potential game. A decentralized self-organized relay selection algorithm is proposed based on a stochastic learning approach where each player evolves toward a strategic equilibrium state in the sense of Nash. Furthermore, we study the exact outage behavior of the multi-relay decode-and-forward cooperative communication network. Closed-form solutions are derived for the actual outage probability of this multi-relay system in both independent and identically distributed channels and generalized channels, which need not assume an asymptotic or high signal-to-noise ratio. Two tight approximations with low computational complexity are also developed for the lower bound of the outage probability. With the exact closed-form outage probability, we further develop an optimization model to determine optimal power allocations in the cooperative network, which can be combined with the decentralized learning-based relay selection. The analysis of the exact and approximative outage behaviors and the convergence properties of the proposed algorithm toward a Nash equilibrium state are verified theoretically and numerically. Simulation results are also given to demonstrate that the resulting cooperative network induced by the proposed algorithm achieves high energy efficiency, transmission reliability, and network-wide fairness performance.
Funding
Bionic communications and networking for connected vehicles; G2114; Royal society; IE160920
Mission-Critical and Intelligent Communication Protocols for Future Vehicles Using Power Lines; G2132; EPSRC; EP/P025862/1
IoT communications; ABVF-009; Sussex; ABVF-009
History
Publication status
- Published
File Version
- Accepted version
Journal
IEEE Transactions on Vehicular TechnologyISSN
0018-9545Publisher
Institute of Electrical and Electronics EngineersExternal DOI
Issue
99Volume
PPDepartment affiliated with
- Engineering and Design Publications
Research groups affiliated with
- Sensor Technology Research Centre Publications
Notes
(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2017-06-30First Open Access (FOA) Date
2017-06-30First Compliant Deposit (FCD) Date
2017-06-13Usage metrics
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