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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
Future Blog Post
Published:
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
The control system of an aircraft
I was involved in several projects in embedded control systems, specially in control system of a specific aircraft.
publications
QoE-Aware and Energy-Efficient Transmission of Multimedia Traffic in Wireless Networks
Published in International Conference on Sensor Networks and Signal Processing (SNSP), 2018
This paper discusses the existing approaches for achieving QoE-aware and energy efficient video transmission from different perspectives such as resource allocation, traffic buffering and other scheduling strategies.
Recommended citation: J. Zhang, Y. Chen, H. Zhang and F. Zhang, "QoE-Aware and Energy-Efficient Transmission of Multimedia Traffic in Wireless Networks," 2018 International Conference on Sensor Networks and Signal Processing (SNSP), 2018, pp. 152-157, doi: 10.1109/SNSP.2018.00036. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8615914
Real-time urban regional route planning model for connected vehicles based on V2X communication
Published in Journal of Transport and Land Use, 2020
To improve the capacity of urban transport and optimize land-use planning, a novel real-time regional route planning model based on vehicle to X communication (V2X) is presented in this paper.
Recommended citation: Wang, Pangwei, et al. “Real-Time Urban Regional Route Planning Model for Connected Vehicles Based on V2X Communication.” Journal of Transport and Land Use, vol. 13, no. 1, 2020, pp. 517–38. JSTOR, https://www.jstor.org/stable/26967257. Accessed 3 Jul. 2022. https://www.jstor.org/stable/10.2307/26967257
Balancing energy consumption and reputation gain of UAV scheduling in edge computing
Published in IEEE Transactions on Cognitive Communications and Networking, 2020
In this paper, we clarify the issue on how to maintain the energy efficiency of UAVs and guarantee the reputation gain during the scheduling deployment.
Recommended citation: J. Zhang, Y. Wu, G. Min, F. Hao and L. Cui, "Balancing Energy Consumption and Reputation Gain of UAV Scheduling in Edge Computing," in IEEE Transactions on Cognitive Communications and Networking, vol. 6, no. 4, pp. 1204-1217, Dec. 2020, doi: 10.1109/TCCN.2020.3004592. https://ieeexplore.ieee.org/abstract/document/9124670
Multilane Spatiotemporal Trajectory Optimization Method (MSTTOM) for Connected Vehicles
Published in Journal of Advanced Transportation, 2020
This paper proposes a multilane spatiotemporal trajectory optimization method (MSTTOM) to reach full potential of connected vehicles by considering vehicular safety, traffic capacity, fuel efficiency, and driver comfort.
Recommended citation: Pangwei Wang, Yunfeng Wang, Hui Deng, Mingfang Zhang, Juan Zhang, "Multilane Spatiotemporal Trajectory Optimization Method (MSTTOM) for Connected Vehicles", Journal of Advanced Transportation, vol. 2020, Article ID 8819911, 15 pages, 2020. https://doi.org/10.1155/2020/8819911 https://www.hindawi.com/journals/jat/2020/8819911/
Model predictive control for connected vehicle platoon under switching communication topology
Published in IEEE Transactions on Intelligent Transportation Systems, 2021
In this work, a distributed model predictive control (MPC) algorithm is proposed for connected vehicle platoon with a focus on switching communication topologies and control strategy under abnormal communications.
Recommended citation: Wang, P., Deng, H., Zhang, J., Wang, L., Zhang, M., & Li, Y. (2021). Model predictive control for connected vehicle platoon under switching communication topology. IEEE Transactions on Intelligent Transportation Systems. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9418551
An Intelligent Actuator of an Indoor Logistics System Based on Multi-Sensor Fusion
Published in Actuators, 2021
In order to achieve better logistics distribution efficiency, this paper proposes an intelligent actuator of an indoor logistics system by fusing multiple involved sensors.
Recommended citation: Wang, P.; Wang, Y.; Wang, X.; Liu, Y.; Zhang, J. An Intelligent Actuator of an Indoor Logistics System Based on Multi-Sensor Fusion. Actuators 2021, 10, 120. https://doi.org/10.3390/act10060120 https://www.mdpi.com/2076-0825/10/6/120
System revenue maximization for offloading decisions in mobile edge computing
Published in ICC, 2021
This paper studies the revenue maximization of network operators through a pricing scheme in mobile edge computing, by explicitly formulating energy consumption and latency into the offloading strategy.
Recommended citation: J. Zhang, Y. Wu and G. Min, "System Revenue Maximization for Offloading Decisions in Mobile Edge Computing," ICC 2021 - IEEE International Conference on Communications, 2021, pp. 1-6, doi: 10.1109/ICC42927.2021.9500485. https://ieeexplore.ieee.org/abstract/document/9500485
Short-Term Traffic State Prediction Based on Mobile Edge Computing in V2X Communication
Published in Applied Science, 2021
In this paper, a short-term traffic prediction model based on complex neural network is proposed under the environment of vehicle-to-everything (V2X) communication systems.
Recommended citation: Wang,P.;Liu,X.;Wang,Y.; Wang, T.; Zhang, J. Short-Term Traffic State Prediction Based on Mobile Edge Computing in V2X Communication. Appl. Sci. 2021, 11, 11530. https://doi.org/10.3390/app112311530
An Eco-Driving Controller Based on Intelligent Connected Vehicles for Sustainable Transportation
Published in Applied Science, 2022
This paper is about an intelligent connected vehicles controller built for sustainable transportation.
Recommended citation: Wang, P.; Ye, R.; Zhang, J.; Wang, T. An Eco-Driving Controller Based on Intelligent Connected Vehicles for Sustainable Transportation. Appl. Sci. 2022, 12, 4533. https://doi.org/10.3390/app12094533
talks
System Revenue Maximization for Offloading Decisions in Mobile Edge Computing
Published:
A presentation was given in International Conference on Communications (ICC), 2021.
Offloading decision making strategies and application in mobile edge computing
Published:
Talk on “Offloading decision making strategies and application in mobile edge computing”.
teaching
Formal Methods
Workshop, Beihang University, School of Reliability and Systems Engineering, 2011
ECM3428: Algorithms that Changed the World
Workshop, University of Exeter, Department of Computer Science. Autumn, 2018
60hrs workshop for year 3 students.
ECM2427: Outside The Box: Computer Science Research and Applications
Workshop, University of Exeter, Department of Computer Science. Spring, 2018
90hrs workshop for year 2 students.
ECM3420 & ECMM445: Learning from Data
Workshop, University of Exeter, Department of Computer Science. Autumn, 2019
60hrs workshop for year 3 students.
ECM2414: Software Development
Workshop, University of Exeter, Department of Computer Science. Autumn, 2019
140hrs workshop for year 2 students.
ECM2423: Artificial Intelligence and Applications
Workshop, University of Exeter, Department of Computer Science. Spring, 2019
60hrs workshop for undergraduate students (Year 2).
ECM3420, ECMM457 & ECMM445: Learning from Data
Workshop, University of Exeter, Department of Computer Science. Autumn, 2020
60hrs workshop for year 3 and master students.
ECM2414: Software Development
Workshop, University of Exeter, Department of Computer Science. Autumn, 2020
140hrs workshop for year 2 students.
ECM2414: Software Development
Workshop, University of Exeter, Department of Computer Science. Autumn, 2021
140hrs workshop for year 2 students.
ECM3401: Literature Review and Project Specification
Workshop, University of Exeter, Department of Computer Science. Spring, 2021
30hrs workshop for year 3 students.
ECM3408: Enterprise Computing
Workshop, University of Exeter, Department of Computer Science. Spring, 2021
60hrs workshop for year 2 students.
ECMM445: Learning from Data
Workshop, University of Exeter, Department of Computer Science. Summer, 2021
60hrs workshop for master students.
KF6004: Computer Networks and Cyber Security
Lecture and Workshop, Northumbria University, Department of Computer and Information Sciences. Spring, 2024
Lectures and workshops for year 3 undergraduate students.
KV5002: Computer Networks, Security and Operating Systems
Lecture and Workshop, Northumbria University, Department of Computer and Information Sciences. Spring, 2024
Lectures and workshops for master students.
KF6004/KF7031: Computer Networks and Cyber Security
Lecture and Workshop, Northumbria University, Department of Computer and Information Sciences. Spring, 2024
Lectures and workshops for year 3 undergraduate students (Level 6) and master students (Level 7).
KF7029: MSc Computer Science & Digital Technologies Project
Project supervision, Northumbria University, Department of Computer and Information Sciences. Spring, 2024
Supervise master students on their research projects.
KV6017: Enterprise Networks and Security
Teaching, Northumbria University, Department of Computer and Information Sciences. Autumn (Term 1), 2024
Module teaching for year 3 undergraduate students.
KF7023: Computer Networks & Operating Systems
Teaching, Northumbria University, Department of Computer and Information Sciences. Autumn (Term 1), 2024
Module teaching for master students.