B.Engr, 2014 - 2018
Shanghai Jiao Tong University
I am a Ph.D. student in the Electrical and Computer Engineering department at the University of Wisconsin, Madison. My research interests focus on security and privacy in systems and networking. During my undergrad, I worked on indoor localization based on fingerprinting and channel state information (CSI) in Shanghai Jiao Tong University. Currently, I am working on improving Road User Safety in Vehicular ad hoc network with Professor Kassem Fawaz at Wi-Pi in University of Wisconsin, Madison.
Our goal is to investigate, implement, and demonstrate a mobile ad hoc network (MANET)-based, practical, infrastructure-free and secure framework that improves the safety of vulnerable road users such as pedestrians and cyclists in the situations when their safety is most threatened, e.g.,non-intersection crossings, lightly-lit areas, evening and late-night situations, and jaywalking.
The first step of the project is building a data collection platform to collect data from the road users. We first developed the flow of the data collection framework. This framework includes an Android app that runs on the client side and a server component that handles the collected data. The app encrypts the collected data on the client-side for privacy protection and automatically uploads to our Amazon “Simple Storage Service” (S3) server for temporary storage. The data is stored in encrypted format on S3 storage and we download the data to our local servers for further processing/analysis after decryption. Automatic labeling of data is performed locally on our server. Processed data will later be used for building prediction model on pedestrian’s road crossing behavior.
We developed an Android App for multi-hop communication between vehicles and pedestrians on road. Multi-hop communication can solve the problem of high communication delay in None-Line-of-Sight scenario and communication beyond range.
Thus we designed and implemented our distance based data forwarding algorithms based on Wi-Fi Aware in commodity Android smartphones. This can extend the range of communication compared to single hop communication and reduce the communication delay caused by network congestion at the same time.
Currently, we are working on the authentication of the source of the message in our MANET-based framework. With the absence of a centralized entity managing node identities, a malicious entity can inject fake messages into our framework to impede traffic flows. We are considering using session key generation based on sensor values, the movements of road users in our framework or distance bounding between different nodes to solve this problem.
Optimization of fingerprints reporting strategy for WLAN indoor localization
Xiaohua Tian, Wenxin Li, Yucheng Yang, Zhehui Zhang, Xinbing Wang
IEEE Transactions on Mobile Computing (TMC), 2017
Performance analysis of wi-fi indoor localization with channel state information
Xiaohua Tian, Sujie Zhu, Sijie Xiong, Binyao Jiang, Yucheng Yang, Xinbing Wang
IEEE Transactions on Mobile Computing (TMC), 2018