Peisong Li

Peisong Li

Working hard to be lucky.

Posts by Collection

portfolio

publications

Key management scheme based on nodes capture probability for wireless sensor networks

Published in 2018 Chinese Control and Decision Conference (CCDC), 2018

Recommended citation: Zhang, Ying, and Peisong Li. "Key management scheme based on nodes capture probability for wireless sensor networks." In 2018 Chinese Control and Decision Conference (CCDC), pp. 5470-5475. IEEE, 2018. https://peisong0109.github.io/files/Key_management_scheme_based_on_nodes_capture_probability_for_wireless_sensor_networks.pdf

A dynamic and scalable user-centric route planning algorithm based on polychromatic sets theory

Published in IEEE transactions on intelligent transportation systems, 2021

JCR Q1 TOP, IF=8.5.

Recommended citation: Li, Peisong, Xinheng Wang, Honghao Gao, Xiaolong Xu, Muddesar Iqbal, and Keshav Dahal. "A dynamic and scalable user-centric route planning algorithm based on polychromatic sets theory." IEEE Transactions on Intelligent Transportation Systems 23, no. 3 (2021): 2762-2772. https://ieeexplore.ieee.org/abstract/document/9447817

Online Monitoring of Overhead Power Lines Against Tree Intrusion via a Low-cost Camera and Mobile Edge Computing Approach

Published in Journal of Physics: Conference Series, 2023

Recommended citation: Li, Peisong, Rui Qiu, Minzhen Wang, Xinheng Wang, Shan Jaffry, Ming Xu, Kaizhu Huang, and Yi Huang. "Online Monitoring of Overhead Power Lines Against Tree Intrusion via a Low-cost Camera and Mobile Edge Computing Approach." In Journal of Physics: Conference Series, vol. 2422, no. 1, p. 012018. IOP Publishing, 2023. https://iopscience.iop.org/article/10.1088/1742-6596/2422/1/012018/meta

EPtask: Deep Reinforcement Learning based Energy-efficient and Priority-aware Task Scheduling for Dynamic Vehicular Edge Computing

Published in IEEE Transactions on Intelligent Vehicles, 2023

JCR Q1, IF=8.2.

Recommended citation: Li, Peisong, Ziren Xiao, Xinheng Wang, Kaizhu Huang, Yi Huang, and Honghao Gao. "EPtask: Deep Reinforcement Learning based Energy-efficient and Priority-aware Task Scheduling for Dynamic Vehicular Edge Computing." IEEE Transactions on Intelligent Vehicles (2023). https://ieeexplore.ieee.org/abstract/document/10269672

talks

Real-time Position Sharing

Published:

An Android application (App) is designed, which is mainly used for sharing real-time positions with others. In addition, some interesting functions are also provided.

Deep Reinforcement Learning based Multi-Agent Collaborative Navigation System for Dynamic Trajectory Planning

Published:

Multi-agent collaborative navigation is prevalent in modern transportation systems, including delivery logistics, warehouse automation, and personalised tourism, where multiple agents must converge at a common destination from different starting points. However, the challenges lie in optimising routes for multiple agents while dynamically adjusting the common destination in response to changing traffic conditions. Therefore, we would like to propose a generic Multi-Agent Collaborative Navigation System (MACNS) to address the challenges.

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.