Chengdu, China

Jing Ren

USPTO Granted Patents = 3 

Average Co-Inventor Count = 5.5

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2014-2025

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3 patents (USPTO):

Title: Innovations of Jing Ren in Wireless Sensor Networks

Introduction

Jing Ren is a notable inventor based in Chengdu, China. He has made significant contributions to the field of wireless sensor networks, holding a total of 3 patents. His work focuses on enhancing energy efficiency and resource allocation in network systems.

Latest Patents

One of Jing Ren's latest patents is titled "Method for energy efficient routing in wireless sensor network based on multi-agent deep reinforcement learning." This innovative method predefines a wireless sensor network and establishes a cooperative routing decision system. It includes decision networks deployed on sensor nodes and a sink module that calculates routing based on probability vectors. A multi-agent deep reinforcement learning algorithm is utilized to train the decision networks, allowing for dynamic updates to the routing policy.

Another significant patent is the "Dynamic network resource allocation method based on network slicing." This method involves training a first neural network with historical resource demand data to predict future resource needs. By pre-allocating resources based on these predictions, service providers can efficiently manage network resources while adhering to service level agreements, thus minimizing waste.

Career Highlights

Jing Ren is affiliated with the University of Electronic Science and Technology of China, where he continues to advance research in network technologies. His work has garnered attention for its practical applications in improving network efficiency and reliability.

Collaborations

Jing collaborates with esteemed colleagues, including Sheng Wang and Shizhong Xu, who contribute to his research endeavors. Their combined expertise enhances the innovative potential of their projects.

Conclusion

Jing Ren's contributions to wireless sensor networks exemplify the impact of innovative thinking in technology. His patents reflect a commitment to improving network efficiency and resource management, showcasing the importance of research in advancing modern communication systems.

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