Mao V. Ngo
Title
Cited by
Cited by
Year
Enabling intelligence in fog computing to achieve energy and latency reduction
QD La, MV Ngo, TQ Dinh, TQS Quek, H Shin
Digital Communications and Networks 5 (1), 3-9, 2019
302019
Coexistence evaluation of densely deployed BLE-based body area networks
QD La, D Nguyen-Nam, M Van Ngo, TQS Quek
GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017
62017
User behavior driven MAC scheduling for body sensor networks
MV Ngo, QD La, D Leong, TQS Quek
2017 IEEE 19th International Conference on e-Health Networking, Applications …, 2017
52017
Dense deployment of BLE-based body area networks: A coexistence study
QD La, D Nguyen-Nam, MV Ngo, HT Hoang, TQS Quek
IEEE Transactions on Green Communications and Networking 2 (4), 972-981, 2018
42018
User behavior driven mac scheduling for body sensor networks: A cross-layer approach
MV Ngo, QD La, D Leong, TQS Quek, H Shin
IEEE Sensors Journal 19 (17), 7755-7765, 2019
32019
Applying queuing theory to evaluate performance of cluster wireless sensor networks
N Van Mao, VQ Son
2015 International Conference on Advanced Technologies for Communications …, 2015
22015
Adaptive anomaly detection for IoT data in hierarchical edge computing
MV Ngo, H Chaouchi, T Luo, TQS Quek
arXiv preprint arXiv:2001.03314, 2020
12020
Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing
MV Ngo, T Luo, H Chaouchi, TQS Quek
arXiv preprint arXiv:2004.06896, 2020
2020
Digital Communications and Networks
QD La, MV Ngo, TQ Dinh, TQS Quek, H Shin
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Articles 1–9