公开(公告)号：US20230231796A1

公开(公告)日：2023-07-20

申请号：US18125881

申请日：2023-03-24

Applicant: UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA

Inventor： Jing REN ,  Tongyu SONG ,  Jiangong ZHENG ,  Xiaotong GUO ,  Xuebin TAN ,  Sheng WANG ,  Shizhong XU ,  Xiong WANG

IPC: H04L45/02 ,  H04W40/10 ,  H04W40/24

CPC classification number: H04L45/08 ,  H04W40/10 ,  H04W40/24

Abstract: A method for energy efficient routing in wireless sensor network based on multi-agent deep reinforcement learning, predefines a to-be-deployed wireless sensor network and creates a cooperative routing decision system including A decision networks and one sink module, A decision networks deployed on the agents ai, i=1, 2, . . . , A, of the sensor nodes, the sink module deployed on the sink node n0. The decision network obtains a probability vector according to its local observation and position vectors. The sink module calculates a routing for each sensor node according the probability vectors of A decision networks and sends the routings to corresponding sensor nodes. A multi-agent deep reinforcement learning algorithm is adopted to train the decision networks of A agents ai, i=1, 2, . . . , A of the cooperative routing decision system, deploys the to-be-deployed wireless sensor network into an environment and updates the routing policy of the deployed wireless sensor network at each update cycle of routing.