A multi-agent reinforcement learning based routing protocol for wireless sensor networks

@article{Liang2008AMR,
  title={A multi-agent reinforcement learning based routing protocol for wireless sensor networks},
  author={Xuedong Liang and Ilangko Balasingham and Sang-Seon Byun},
  journal={2008 IEEE International Symposium on Wireless Communication Systems},
  year={2008},
  pages={552-557}
}
In this paper, we present MRL-QRP, a multi-agent reinforcement learning based routing protocol with QoS support for wireless sensor networks. In MRL-QRP, sensor node cooperatively computes QoS routes using a distributed value function - distributed reinforcement learning algorithm (DVFDRL). Global optimization can be achieved by using locally observed network information and limited exchanging of state values with immediate neighboring nodes. We compare the network performance of MRL-QRP with… CONTINUE READING

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