Smart Traffic Fund (STF), Transport Department: PI, Project No. PSRI/31/2202/PR, Channel State Information-Learning-based Passenger Counting System on Public Transport Vehicles
Research Impact Fund (RIF), Hong Kong Research Grants Council (RGC): Co-PI, Project No. R5007-18, New Prefabricated Composite Pavement Systems for Sustainable and Smart-City Development of Hong Kong: Key Scientific and Engineering Solutions
GDSTC Key Technologies R&D Programme (廣東省重點領域研發計劃智能機器人和裝備製造重大專項項目), Department of Science and Technology of Guangdong Province (GDSTC): Co-I, Project No. (2020) 76, 基於建築資訊模型和人工智慧技術的建築機器人研究與應用示範
General Research Fund (GRF), Hong Kong Research Grants Council (RGC): PI, Project No. 15201118, Non-Orthogonal Data Exchange in Vehicular Networks
Early Career Scheme (ECS), Hong Kong Research Grants Council (RGC): PI, Project No. 25200714, Realistic Vehicular Traffic and Connectivity Modeling for VANET Design and Optimization
National Natural Science Foundation of China (NSFC): PI, Project No. 61401384, Optimization of Vehicular Ad-hoc Networks using Complex Network Theory
National Natural Science Foundation of China (NSFC): Co-I, Project No. 61372095, Research on Cooperative Relay Selection and Information Theory in Discrete Channel with Memory
Ongoing Research:
Realistic VANET Modeling: To develop stochastic traffic and protocol models to jointly capture the spatial and temporal dynamics of vehicular traffic and communication protocol performance in signalized urban road network
Internet of Things (IoT) Initiative: An inter-disciplinary (wireless communications, signal processing, electronic circuit design) initiative that targets to develop system prototypes for a large-scale IoT system for autonomous navigation, mapping and surveillance
Wireless Sensing based Indoor Positioning: Making use of channel state information (CSI) in WiFi signals to locate mobile nodes with up to cm-level accuracy and a single anchor point
Complex Network Analysis: To analyze large-scale real-life networks, e.g., Internet, public transport networks, etc., from a network science perspective
Honors and Awards:
Dolphin – Effective Indoor Positioning Service, Gold Medal, International Exhibition of Inventions Geneva, Switzerland, 2021
A smart integrated road pavement and drainage system for stormwater storage, de-icing, dust suppression, and cooling, Gold Medal with the Organizer's Choice Award and the Toronto International Society of Innovation & Advanced Skills (TISIAS) Special Award, the 5th International Invention Innovation Competition in Canada (iCAN), Toronto, Canada, 2020
Dolphin – Effective Indoor Positioning Service, Gold Medal, International Trade Fair Ideas and Inventions New Products (iENA), Nuremberg, Germany, 2019
MeshRanger Wireless Mesh Networking System, Silver Award in Best Ubiquitous Networking, Hong Kong ICT Awards, 2012
International Technology Alliance (ITA) Recognition of Service Award, 2007
Research Group:
Cao Ding (PhD Candidate)
Kaiduo Fang (PhD candidate)
Danista Khan (PhD candidate)
Edana Wang (PhD Candidate)
Yunpeng Ge (PhD candidate)
Jingtao Guo (PhD candidate)
Pei Tang (PhD candidate)
Chongxin Gan (PhD candidate, co-supervise)
Tingting Fan (PhD candidate, co-supervise)
Past Members:
Dr. Yuhao Wang (PhD graduate, now at Tsinghua University, China)
Dr. Xinyu Wang (PhD graduate, now at Harbin Institute of Technology, China)
Dr. Josyl Rocamora (PhD graduate, now at University of Santo Tomas, Philippines)
Dr. Elmer Magsino (PhD graduate, now at De La Salle University, Philippines)
Dr. Zhenhui Situ (PhD graduate, now at Huawei Technologies)
Dr. Tanuja Shanmukhappa (PhD graduate, now at ASTRI)
Dr. Lingfu Xie (PostDoc Fellow, now at Ningbo University)
Yu Xie (Shawn) (MPhil graduate, now at China Mobile IoT Company Ltd.)
Chuntan Ng (MSc graduate)
Bishenghui Tao (MSc graduate, now at HKMU)
Haotian Yan (MSc graduate)
Yuhao Wang (MSc graduate, now at National University of Singapore)
Kanghao Jia (MSc graduate, now at Apple Inc.)
Kai Fung Chu (MSc graduate, now at University of Cambridge)
MESSAGE: Use wireless sensors mounted on vehicles to
sense pollution. Funded by EPSRC and Department for Transport. Collaboration
with University of Cambridge, University of Leeds, University of Newcastle,
University of Southampton and London Buses
IBM/ITA:
Study theoretical foundation of designs and protocols for wireless ad-hoc
and sensor networks. Funded by U.S. Army Research Laboratory and U.K. Ministry
of Defence. Collaboration with University of Massachusetts, University of
California at Los Angeles and IBM Research
Mobile
Environmental Sensing System Across a Grid Environment
The
above figure shows the research framework for analyzing the impact of mobility
on the performance of communication protocols. By investigating the relationship
between mobility and connectivity, we aim to provide a strengthened foundation
for the future development of the communication protocols for Vehicular Ad
hoc NETworks (VANET). In general, our responsibilities include the joint transport
and communication modelling and the design of reliable protocol for data transfer.
1.
Joint Transport and Communication Models
Objectives
of Joint Models:
- Understand and exploit dynamics between vehicle movement and wireless communication
capability
- Enable efficient design of vehicular ad-hoc network for transport systems
control/management
Issues
for Investigation:
- Develop joint mobility and communication models
- Communication connectivity among vehicles
- Identify strengths and weaknesses of vehicular networks
2.
Protocol Designs for Vehicular Ad hoc Networks
Issues
for Investigation:
- Reliable protocols for data transfer
- Routing for disconnected bus ad-hoc network
- Optimal locations of road-side access points
- Cross-layer protocol and system optimisation
International
Technology Alliance in Network and Information Science
The alliance
will perform research in four Technical Areas:
(i) network
theory
(ii) security across system of systems
(iii) sensor information processing and delivery and
(iv) distributed coalition planning and decision making
Our research
work on Network Monitoring and Troubleshooting in MANETs evolves in Task 1 of
Project 2 at Technical Area 1.
Network
Monitoring and Troubleshooting in MANETs
The
ability to monitor network components and troubleshoot when there is problem
is one of the key elements to the reliable and robust operation of military
mobile ad hoc wireless networks. Our main objective is to allow network operators
to quickly identify suboptimal or abnormal behaviors of a network, and to
correct the problem without requiring too much manual efforts.
The reason why it is difficult to analyze a performance problem in a multi-hop
wireless network is that there may be multiple potential causes that interplay
to produce observable symptoms. For example, consider a simple case when mobile
nodes in a MANET cannot be reached. There can be many reasons for this symptom
- the node's NIC may not function properly; the node may have moved out of
range; there may be severe wireless link interference; or other intermediate
nodes may be at fault. Furthermore, a problem in military networks should
be understood in the operation environment. For example, in a densely deployed
sensor networks, the failure of a single sensor node may not be critical,
whereas in a tactical MANET, maintaining connectivity is of critical concern.
The goal of this task is to develop efficient and scalable network monitoring/troubleshooting
mechanism to enable the following:
Fault localization and wireless root cause analysis
Cooperative local monitoring of selfish behaviors and misconfigurations
Proactive discovery of critical components that can be enforced to improve
the overall
performance of the network.
Analysis of impact of network failure on quality of information