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Research Interests
Research Interests
- Distributed and stochastic network optimization
- Network algorithm and protocol design (congestion control, QoS, resource allocation and cross-layer design)
- Fog and edge computing
- Networked Robotics
- Nonlinear systems and sliding mode control
- Internet of Things (IoT) and Cyber-Physical Systems (CPS)
- IoT-CPS applications in smart manufacturing and smart cities
Current Projects
Current Projects
Project 1: Wireless Networked Robotics
With the advance of M2M communications, wireless robotic networks can be formed to handle more complex and time-critical tasks in a distributed and parallel manner. The project aims to address:
- controllable mobility to enhance cross-layer optimization of communication protocols;
- M2M to support dynamic resource management and self-organization for a team of cooperative robots.
For more information, please refer to the YouTube on the right and the related slides.
Selected Publication:
- P. Ghosh, A. Gasparri, J. Jin, and B. Krishnamachari, "Robotic wireless sensor networks," arXiv:1705.05415, 2017.
- B. Ning, Q.-L. Han, Z. Zuo, J. Jin, and J. Zheng, “Collective behaviours of mobile robots beyond the nearest neighbour rules with switching topology,” IEEE Transactions on Cybernetics, vol. 48, no. 5, pp. 1577-1590, May 2018.
- B. Ning, J. Jin, B. Krishnamachari, J. Zheng, and Z. Man, “Two-stage deployment strategy for wireless robotic networks via a class of interaction models,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, no. 7, pp. 1510-1521, July 2017.
Project 2: Cloud Networked Robotics
Cloud Robotics is a new yet exciting field that deals with the concept of a network of robots leveraging ubiquitous cloud for collective intelligence. Diverse applications are now being proposed to utilize the benefit of cloud services for robotic networks. A typical example is “Noise Patrol Robots” that assist to better deal with urban noise problem in the smart city domain.
Selected Publications:
- H. Ko, S. L. Keoh, and J. Jin, “Privacy protection for cloud-based robotic networks,” Security and Privacy in Cyber-Physical Systems: Foundations and Applications, Wiley, pp. 195-222, 2017.
- A. Rahman, J. Jin, A. Cricenti, A. Rahman, M. Palaniswami, and T. Luo, “Cloud-enhanced robotic system for smart city crowd control,” Journal of Sensor and Actuator Networks, vol. 5, no. 4, 26 pages, December 2016.
Project 3: Real-Time Internet of Things
The Internet of things (IoT) is an emerging revolution, which targets anytime connectivity for anything to create smart environments in which there is fast-paced interaction between systems and between such systems and people. The project aims to develop a Fog computing empowered IoT platform, including the design of network architecture and algorithms, to provide real-time services for smart city applications (e.g., smart grid and smart transportation).
Selected Publications:
- J. Li, J. Jin, D. Yuan, and H. Zhang, “Virtual Fog: A virtualization enabled fog computing framework for IoT,” IEEE Internet of Things Journal, vol. 5, no. 1, pp. 121-131, February 2018.
- L. Lyu, J. Jin, S. Rajasegarar, X. He, and M. Palaniswami, “Fog-empowered anomaly detection in Internet of Things using hyperellipsoidal clustering,” IEEE Internet of Things Journal, vol. 4, no. 5, pp. 1174-1184, October 2017.
- H. Ko, J. Jin, and S. L. Keoh, “Secure service virtualization in IoT by dynamic service dependency verification,” IEEE Internet of Things Journal, vol. 3, no. 6, pp. 1006-1014, December 2016.
- J. Jin, J. Gubbi, S. Marusic, and M. Palaniswami, “An information framework of creating a smart city through Internet of Things,” IEEE Internet of Things Journal, vol. 1, no. 2, pp. 112-121, April 2014.
Project 4: Distributed and Stochastic Network Optimization
Optimization theory has been widely applied to communication networks and become an essential modeling language and design method. We are interested in this project to develop distributed and/or stochastic optimization algorithms for diverse networking problems such as congestion control, resource allocation and cross-layer design.
Selected Publications:
- J. Jin, M. Palaniswami, D. Yuan, Y. Dong, and K. Moessner, “Priority service provisioning and max-min fairness: a utility-based flow control approach,” Journal of Network and Systems Management, vol. 25, no. 2, pp. 397-415, April 2017.
- Y. Jin, J. Jin, A. Gluhak, K. Moessner, and M. Palaniswami, “An intelligent task allocation scheme for multihop wireless networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 23, no. 3, pp. 444-451, March 2012.
- J. Jin, A. Sridharan, B. Krishnamachari, and M. Palaniswami, “Handling inelastic traffic in wireless sensor networks,” IEEE Journal on Selected Areas in Communications, vol. 28, no. 7, pp. 1105-1115, September 2010.
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