M
Mo Li
Researcher at Nanyang Technological University
Publications - 183
Citations - 10669
Mo Li is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Wireless sensor network & Key distribution in wireless sensor networks. The author has an hindex of 51, co-authored 175 publications receiving 9159 citations. Previous affiliations of Mo Li include Hong Kong Polytechnic University & Software Engineering Institute.
Papers
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Proceedings ArticleDOI
Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices
TL;DR: Differential Augmented Hologram (DAH) is proposed which will facilitate the instant tracking of the mobile RFID tag to a high precision and devise a comprehensive solution to accurately recover the tag's moving trajectories and its locations.
Proceedings ArticleDOI
Demo: how long to wait?: predicting bus arrival time with mobile phone based participatory sensing
TL;DR: A bus arrival time prediction system based on bus passengers' participatory sensing that achieves outstanding prediction accuracy compared with those bus operator initiated and GPS supported solutions and is more generally available and energy friendly.
Proceedings ArticleDOI
Precise Power Delay Profiling with Commodity WiFi
Yaxiong Xie,Zhenjiang Li,Mo Li +2 more
TL;DR: Splicer, a software-based system that derives high-resolution power delay profiles by splicing the CSI measurements from multiple WiFi frequency bands is presented and a set of key techniques to separate the mixed hardware errors from the collected CSI measurements are proposed.
Proceedings ArticleDOI
Underground structure monitoring with wireless sensor networks
Mo Li,Yunhao Liu +1 more
TL;DR: The design of a structure-aware self-adaptive WSN system, SASA, is discussed, able to rapidly detect structure variations caused by underground collapses, and a large-scale trace-driven simulation is conducted based on real data collected from the experiments.
Journal ArticleDOI
Underground coal mine monitoring with wireless sensor networks
Mo Li,Yunhao Liu +1 more
TL;DR: The design of a Structure-Aware Self-Adaptive WSN system, SASA, is discussed, able to rapidly detect structure variations caused by underground collapses, and a sound and robust mechanism for efficiently handling queries under instable circumstances is developed.