TY - GEN
T1 - A Routing Algorithm Based on Prioritized Replay Double DQN for Private Internet of Things
AU - Wu, Wei
AU - Liu, Chang
AU - Sun, Pengfei
AU - Tang, Li
AU - Yu, Yang
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The Private Internet of Things (P-IoT) is a network that provides IoT services to users of private networks. Effective routing protocols are essential for P-IoT to ensure optimal network performance. This paper proposes a routing algorithm called Priority Experience Replay Double Deep-Q-network (PER-DDQN), which considers both congestion and traffic load as reward functions. PER-DDQN combines deep learning and reinforcement learning to address the challenges of traditional routing algorithms in terms of learning and environmental perception. PER-DDQN enhances the learning speed of reinforcement learning and capacity for processing high-dimensional data. The simulation results indicate that the PER-DDQN algorithm outperforms in terms of convergence speed, congestion reduction, and load balancing, compared with conventional shortest path algorithms, Q-learning algorithms, and deep Q-learning algorithms.
AB - The Private Internet of Things (P-IoT) is a network that provides IoT services to users of private networks. Effective routing protocols are essential for P-IoT to ensure optimal network performance. This paper proposes a routing algorithm called Priority Experience Replay Double Deep-Q-network (PER-DDQN), which considers both congestion and traffic load as reward functions. PER-DDQN combines deep learning and reinforcement learning to address the challenges of traditional routing algorithms in terms of learning and environmental perception. PER-DDQN enhances the learning speed of reinforcement learning and capacity for processing high-dimensional data. The simulation results indicate that the PER-DDQN algorithm outperforms in terms of convergence speed, congestion reduction, and load balancing, compared with conventional shortest path algorithms, Q-learning algorithms, and deep Q-learning algorithms.
KW - Deep-Q-network
KW - Private Internet of Things
KW - prioritized experience replay
KW - routing protocol
UR - https://www.scopus.com/pages/publications/85173045256
U2 - 10.1109/ICCC57788.2023.10233648
DO - 10.1109/ICCC57788.2023.10233648
M3 - 会议稿件
AN - SCOPUS:85173045256
T3 - 2023 IEEE/CIC International Conference on Communications in China, ICCC 2023
BT - 2023 IEEE/CIC International Conference on Communications in China, ICCC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE/CIC International Conference on Communications in China, ICCC 2023
Y2 - 10 August 2023 through 12 August 2023
ER -