A self-learning repeated game framework for optimizing packet forwarding networks

@article{Han2005ASR,
  title={A self-learning repeated game framework for optimizing packet forwarding networks},
  author={Zhu Han and Charles Pandana and K. J. Ray Liu},
  journal={IEEE Wireless Communications and Networking Conference, 2005},
  year={2005},
  volume={4},
  pages={2131-2136 Vol. 4}
}
For networks with packet forwarding, distributed control to enforce cooperation for node packet forwarding probabilities is essential to maintain the connectivity. In this paper, we propose a novel self-learning repeated game framework to optimize packet forwarding probabilities of distributed users. The framework has two major steps: first, an adaptive… CONTINUE READING