Yuanwen Tian

Y. Miao, Yuanwen Tian, J. Cheng, M. S. Hossain, A. Ghoneim, “RADB: Random Access with Differentiated Barring for Latency Constrained Applications in NBIoT Network”, Wireless Communications and Mobile Computing, 2018. DOI: 10.1155/2018/6210408.
M. Chen, Yuanwen Tian, G. Fortino, J. Zhang, I. Humar, “Cognitive Internet of Vehicles”, Computer Communications, vol. 120, pp. 58-70, 2018. DOI: 10.1016/j.comcom.2018.02.006.
Y. Miao, Yuanwen Tian, L. Peng, M. S. Hossain, G. Mohammad, “Research and Implementation of ECG-Based Biological Recognition Parallelization”, IEEE Access, vol. 6, pp. 4759–4766, 2017. DOI: 10.1109/ACCESS.2017.2771220.
W. Li, J. Lu, Y. Xu, Z. Wei, Yuanwen Tian, Y. Miao, “Wireless Cooperative Caching in Device to Device Networks: Simulation and Modeling”, 12th EAI International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities (TRIDENTCOM 2017), 2017. (Best Student Paper Award) DOI: 10.4108/eai.2892017.2273362.
J. Yang, Y. Miao, C. Han, Yuanwen Tian, X. You, Y. Jiang, “OPPOCO: From Ad Hoc Cloudletassisted Edge Computation to Opportunistic Computation Offoading”, 12th EAI International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities (TRIDENTCOM 2017), 2017. DOI: 10.4108/eai.2892017.2273365.

Emotion Communication and Affective Interaction System

In this project, a prototype system for emotion detection and interaction is designed. The emotion detection and interaction system are closely related to the user’s characteristics, so the robot design used the IoT framework to fetch needed information. The system adopted an audio-visual information-based method to collect the multimodal data. The main emotion data were user’s facial images and voices. The audio-visual information-based method had the advantages of high-accuracy recognition and low-overhead computation.

Cognitive Vehicular Ad Hoc Networks

With the prosperous development of artificial intelligence, cloud/edge computing and 5G network slicing, a more intelligent vehicular network is under deliberation. In this project, we propose an innovative paradigm called Cognitive Internet Ad Hoc Networks to fully realize future autonomous driving scenarios. Different from existing works, which mainly focus on communication technologies, CIoV enhances transportation safety and network security by mining effective information from both physical and network data space.