In the application of Wireless sensor networks (WSNs), effective estimation for link quality is
a basic issue in guarantying reliable data transmission and upper network protocol …

Machine-learning-based prediction of future wireless link quality is an emerging technique
that can potentially improve the reliability of wireless communications, especially at higher …

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 …

Industrial Wireless Sensor Networks (IWSN) demand deterministic and reliable
communication. Adaptive mechanisms, such as channel adaptation and channel hopping …

In the Internet of Things (IoT) or in industrial networks, the use of poor links in data gathering
may considerably degrade network performance. In this paper, we investigate link quality …

Wireless communication networks are conventionally designed in model-based approaches
through utilizing performance metrics such as spectral efficiency and bit error rate. However …

Wireless link quality prediction (LQP) is the foundation for proactive operations and is
therefore a key technique in alleviating network performance degradation. However …

In Wireless Sensor Network (WSN), signal propagation is mainly affected by external and
internal conditions, like interferences, noise and weather conditions. Link quality can be …

Adaptive mechanisms, such as dynamic channel allocation or adaptive routing, are used to
deal with the variations in the link quality of Wireless Sensor Networks (WSN). In both cases …