S
Shaojie Tang
Researcher at University of Texas at Dallas
Publications - 348
Citations - 8505
Shaojie Tang is an academic researcher from University of Texas at Dallas. The author has contributed to research in topics: Wireless sensor network & Computer science. The author has an hindex of 41, co-authored 318 publications receiving 6895 citations. Previous affiliations of Shaojie Tang include Temple University & Illinois Institute of Technology.
Papers
More filters
Proceedings ArticleDOI
Electronic frog eye: Counting crowd using WiFi
TL;DR: FCC, a device-Free Crowd Counting approach based on Channel State Information (CSI), is presented and a metric, the Percentage of nonzero Elements (PEM) in the dilated CSI Matrix is proposed, which can be explicitly formulated by the Grey Verhulst Model.
Proceedings ArticleDOI
Canopy closure estimates with GreenOrbs: sustainable sensing in the forest
TL;DR: GreenOrbs is presented, a wireless sensor network system and its application for canopy closure estimates that outperforms the conventional approaches for canopyclosure estimates by incorporating a pre-deployment training process as well as a distributed calibration method.
Proceedings ArticleDOI
Wi-Sleep: Contactless Sleep Monitoring via WiFi Signals
TL;DR: It is shown that with off-the-shelf WiFi devices, fine-grained sleep information like a person's respiration, sleeping postures and rollovers can be successfully extracted.
Journal ArticleDOI
A Delay-Efficient Algorithm for Data Aggregation in Multihop Wireless Sensor Networks
TL;DR: An efficient distributed algorithm is proposed that produces a collision-free schedule for data aggregation in WSNs and it is theoretically proved that the delay of the aggregation schedule generated by the algorithm is at most 16R + Δ - 14 time slots.
Journal ArticleDOI
Energy-Efficient Opportunistic Routing in Wireless Sensor Networks
TL;DR: This paper presents an energy-efficient opportunistic routing strategy, denoted as EEOR, and extensive simulations in TOSSIM show that the protocol EEOR performs better than the well-known ExOR protocol in terms of the energy consumption, the packet loss ratio, and the average delivery delay.