Link quality prediction for wireless networks: Current status and future directions
M Niu, L Liu, J Shu - Proceedings of the 2023 8th International …, 2023 - dl.acm.org
In wireless sensor networks (WSNs) and smart gird, link quality prediction (LQP) is an
important part of routing design. Effective LQP can select high-quality links for …
important part of routing design. Effective LQP can select high-quality links for …
On the randomness analysis of link quality prediction: limitations and benefits
S Xiaofei, L Wenxing - arXiv preprint arXiv:2110.08481, 2021 - arxiv.org
In wireless multi-hop networks, such as wireless sensor networks, link quality (LQ) is one of
the most important metrics and is widely used in higher-layer applications such as routing …
the most important metrics and is widely used in higher-layer applications such as routing …
Light Gradient Boosting Machine‐Based Link Quality Prediction for Wireless Sensor Networks
L Liu, M Niu, C Zhang, J Shu - Wireless Communications and …, 2022 - Wiley Online Library
Link quality prediction is a fundamental component of the wireless network protocols and is
essential for routing protocols in wireless sensor networks (WSNs). Effective link quality …
essential for routing protocols in wireless sensor networks (WSNs). Effective link quality …
Data-driven link quality prediction using link features
T Liu, AE Cerpa - ACM Transactions on Sensor Networks (TOSN), 2014 - dl.acm.org
As an integral part of reliable communication in wireless networks, effective link estimation is
essential for routing protocols. However, due to the dynamic nature of wireless channels …
essential for routing protocols. However, due to the dynamic nature of wireless channels …
A link quality prediction method for wireless sensor networks based on XGBoost
Y Feng, L Liu, J Shu - IEEE Access, 2019 - ieeexplore.ieee.org
Link quality is an important factor for nodes selecting communication links in wireless sensor
networks. Effective link quality prediction helps to select high quality links for communication …
networks. Effective link quality prediction helps to select high quality links for communication …
Prediction accuracy of link-quality estimators
The accuracy of link-quality estimators (LQE) is mission-critical in many application
scenarios in wireless sensor networks (WSN), since the link-quality metric is used for routing …
scenarios in wireless sensor networks (WSN), since the link-quality metric is used for routing …
Foresee (4C): Wireless link prediction using link features
T Liu, AE Cerpa - Proceedings of the 10th ACM/IEEE …, 2011 - ieeexplore.ieee.org
As an integral part of reliable communication in wireless networks, effective link estimation is
essential for routing protocols. However, due to the dynamic nature of wireless channels …
essential for routing protocols. However, due to the dynamic nature of wireless channels …
Revisiting link quality metrics for wireless sensor networks
W Liu, Y Xia, J Xu, S Hu, R Luo - 2019 IEEE 5th International …, 2019 - ieeexplore.ieee.org
Packet Reception Ratio (PRR), Received Signal Strength Indicator (RSSI) and Link Quality
Indicator (LQI) are common metrics for link quality estimation. However, utilization and …
Indicator (LQI) are common metrics for link quality estimation. However, utilization and …
RVFL-LQP: RVFL-based link quality prediction of wireless sensor networks in smart grid
In the application of wireless sensor networks (WSNs) to smart grid, real-time and accurate
wireless link quality prediction (LQP) is important to determine which link is reliable enough …
wireless link quality prediction (LQP) is important to determine which link is reliable enough …
Eliminating Mapping Error of Link Quality Prediction for Low-Power Wireless Networks
W Liu, K Zhang, J Xie, Y Xia, J Mao, M Xu… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
The size of time windows used by low-power wireless protocols to compute packet reception
ratio (PRR) directly affects the accuracy and agility of link quality prediction. Using small time …
ratio (PRR) directly affects the accuracy and agility of link quality prediction. Using small time …