Abstract—Autonomous systems with communication
capability are being widely used in diverse fields as the
technology rapidly advances. One of key requirements for these
systems is to provide reliable data communication in the face of
mobility and interference that can significantly deteriorate
network performance and service. To deal with this problem, we
propose an interference and mobility-aware routing scheme
based on reinforcement learning algorithm. The proposed
scheme utilizes the mobility and interference characteristics of
the network as a reward from the environment. Then, routes are
selected based on learning from the network. Simulation results
show that our scheme can achieve reliable data delivery paths in
the face of interference and mobility.
Index Terms—Interference, mobility, reinforcement learning,
and routing.
The authors are with Ajou University, Korea (e-mail: jjnlee@ajou.ac.kr).
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Cite: Jae-Joon Lee and Jinsuk Kang, "Interference and Mobility-Aware Routing Scheme Based on Reinforcement Learning," International Journal of Future Computer and Communication vol. 5, no. 2, pp. 94-98, 2016.
