Jie Zhang

According to our database, Jie Zhang authored at least 27 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

New routing method based on sticky bacteria algorithm and link stability for VANET.

Jie Zhang, Lei Zhang, Degan Zhang, Ting Zhang, Shuo Wang, Cheng-hui Zou

Ad Hoc Networks, 2025

2024

Multi-user reinforcement learning based task migration in mobile edge computing.

Yuya Cui, Degan Zhang, Jie Zhang, Ting Zhang, Lixiang Cao, Lu Chen

Frontiers Comput. Sci., August, 2024

Novel Privacy Awareness Task Offloading Approach Based on Privacy Entropy.

Degan Zhang, Hong-Zhan An, Jie Zhang, Ting Zhang, Wen-miao Dong, Xing-Ru Jiang

IEEE Trans. Netw. Serv. Manag., June, 2024

New Method of Edge Computing-Based Data Adaptive Return in Internet of Vehicles.

De-gan Zhang, Jie Zhang, Chen-hao Ni, Ting Zhang, Peng-Zhen Zhao, Wen-miao Dong

IEEE Trans. Ind. Informatics, February, 2024

New Computing Tasks Offloading Method for MEC Based on Prospect Theory Framework.

Degan Zhang, Wen-miao Dong, Ting Zhang, Jie Zhang, Ping Zhang, GuiXiang Sun, Ya-Hui Cao

IEEE Trans. Comput. Soc. Syst., February, 2024

UAV-assisted task offloading system using dung beetle optimization algorithm & deep reinforcement learning.

Degan Zhang, Zhi-Hao Zhang, Jie Zhang, Ting Zhang, Lei Zhang, Hongtao Chen

Ad Hoc Networks, 2024

2023

A New Method of Fuzzy Multicriteria Routing in Vehicle Ad Hoc Network.

Degan Zhang, Jiaxu Wang, Jie Zhang, Ting Zhang, Chun Yang, Kaiwen Jiang

IEEE Trans. Comput. Soc. Syst., December, 2023

Offloading approach for mobile edge computing based on chaotic quantum particle swarm optimization strategy.

Degan Zhang, GuiXiang Sun, Jie Zhang, Ting Zhang, Peng Yang

J. Ambient Intell. Humaniz. Comput., October, 2023

Novel Edge Caching Approach Based on Multi-Agent Deep Reinforcement Learning for Internet of Vehicles.

Degan Zhang, Wenjing Wang, Jie Zhang, Ting Zhang, Jinyu Du, Chun Yang

IEEE Trans. Intell. Transp. Syst., August, 2023

New method of vehicle cooperative communication based on fuzzy logic and signaling game strategy.

Degan Zhang, Chen-hao Ni, Jie Zhang, Ting Zhang, Zhi-Hao Zhang

Future Gener. Comput. Syst., May, 2023

A novel offloading approach of IoT user perception task based on quantum behavior particle swarm optimization.

Lu Chen, De-Gan Zhang, Jie Zhang, Ting Zhang, Wen-Jing Wang, Ya-Hui Cao

Future Gener. Comput. Syst., April, 2023

A new method of content distribution based on fuzzy logic and coalition graph games for VEC.

Degan Zhang, Haoli Zhu, Ting Zhang, Jie Zhang, Jinyu Du, Guoqiang Mao

Clust. Comput., February, 2023

A content distribution method of internet of vehicles based on edge cache and immune cloning strategy.

Degan Zhang, Shuo Wang, Jie Zhang, Haoli Zhu, Ting Zhang, Xiumei Zheng

Ad Hoc Networks, 2023

Novel data return approach for internet of vehicles based on edge computing.

De-gan Zhang, Xiaoyang Wang, Jie Zhang, Ting Zhang, Hao-tian Li

Ad Hoc Networks, 2023

2022

A novel offloading scheduling method for mobile application in mobile edge computing.

Yu-ya Cui, Degan Zhang, Ting Zhang, Jie Zhang, Mingjie Piao

Wirel. Networks, 2022

A Novel Edge Computing Architecture Based on Adaptive Stratified Sampling.

Degan Zhang, Chen-hao Ni, Jie Zhang, Ting Zhang, Peng Yang, Jiaxu Wang, Hao-Ran Yan

Comput. Commun., 2022

An approach of multi-objective computing task offloading scheduling based NSGS for IOV in 5G.

Jie Zhang, Mingjie Piao, Degan Zhang, Ting Zhang, Wen-miao Dong

Clust. Comput., 2022

2021

A new algorithm of clustering AODV based on edge computing strategy in IOV.

Degan Zhang, Chang-le Gong, Ting Zhang, Jie Zhang, Mingjie Piao

Wirel. Networks, 2021

A path planning method based on the particle swarm optimization trained fuzzy neural network algorithm.

Xiao-huan Liu, Degan Zhang, Jie Zhang, Ting Zhang, Haoli Zhu

Clust. Comput., 2021

A Method of Flow Compensation Incentive based on Q-Learning for User Privacy Protection.

Lu Chen, Degan Zhang, Jie Zhang, Ting Zhang, Hong-rui Fan, Jinyu Du

Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

Distributed Task Migration Optimization in MEC by Deep Reinforcement Learning Strategy.

Yuya Cui, Degan Zhang, Jie Zhang, Ting Zhang, Lixiang Cao, Lu Chen

Proceedings of the 46th IEEE Conference on Local Computer Networks, 2021

An Incentive Approach in Mobile Crowdsensing for Perceptual User.

Lu Chen, Degan Zhang, Jie Zhang, Ting Zhang, Jinyu Du, Hong-rui Fan

Proceedings of the 46th IEEE Conference on Local Computer Networks, 2021

Novel Resource Allocation Algorithm of Edge Computing Based on Deep Reinforcement Learning Mechanism.

Degan Zhang, Hong-rui Fan, Jie Zhang

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

2020

A Multi-Path Routing Protocol Based on Link Lifetime and Energy Consumption Prediction for Mobile Edge Computing.

Degan Zhang, Lu Chen, Jie Zhang, Jie Chen, Ting Zhang, Ya-meng Tang, Jianning Qiu

IEEE Access, 2020

New Approach of Energy-Efficient Hierarchical Clustering Based on Neighbor Rotation for RWSN.

Jie Chen, Degan Zhang, Jie Zhang, Ting Zhang, Haoli Zhu, Jianning Qiu

IEEE Access, 2020

2018

A kind of effective data aggregating method based on compressive sensing for wireless sensor network.

Degan Zhang, Ting Zhang, Jie Zhang, Yue Dong, Xiao-dan Zhang

EURASIP J. Wirel. Commun. Netw., 2018

New Reliable Self-Adaptive Routing Protocol for Vehicular Ad Hoc Network.

Degan Zhang, Yue Dong, Jie Zhang, Ting Zhang

Proceedings of the 27th International Conference on Computer Communication and Networks, 2018