most citedTriangle Extension: Efficient Localizability Detection in Wireless Sensor Networks

17 citations · 18 across the 2 of their papers we have counts for

collaborators

5 papers

cs.DC2020

PAS: Prediction-based Adaptive Sleeping for Environment Monitoring in Sensor Networks

Zheng Yang, Bin Xu, Jingyao Dai +1

Energy efficiency has proven to be an important factor dominating the working period of WSN surveillance systems. Intensive studies have been done to provide energy efficient power…

eess.SP201817 cited

Triangle Extension: Efficient Localizability Detection in Wireless Sensor Networks

Hejun Wu, Ao Ding, Lvzhou Li

Determining whether nodes can be localized, called localizability detection, is essential for wireless sensor networks (WSNs). This step is required for localizing nodes, achieving…

cs.NI20181 cited

Automatic Device Classification from Network Traffic Streams of Internet of Things

Lei Bai, Lina Yao, Salil S. Kanhere +2

With the widespread adoption of Internet of Things (IoT), billions of everyday objects are being connected to the Internet. Effective management of these devices to support reliabl…

cs.HC2018

Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling

Kaixuan Chen, Lina Yao, Xianzhi Wang +4

Multimodal features play a key role in wearable sensor-based human activity recognition (HAR). Selecting the most salient features adaptively is a promising way to maximize the eff…

cs.HC2018

Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks

Xiang Zhang, Lina Yao, Xianzhi Wang +3

Electroencephalography (EEG) signals reflect activities on certain brain areas. Effective classification of time-varying EEG signals is still challenging. First, EEG signal process…