Real-time and accurate link quality prediction is essential for wireless sensor networks. In
order to improve the agility of link quality prediction, physical layer parameters such as …

Link quality estimation plays a vital role in wireless sensor networks, which can improve
transmission efficiency and reduce node energy consumption by selecting the links with …

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 …

Packet Reception Ratio (PRR), Received Signal Strength Indicator (RSSI) and Link Quality
Indicator (LQI) are common metrics for link quality estimation. However, utilization and …

Link quality estimation (LQE) is a fundamental problem in Wireless Sensor Networks
(WSNs). LQE is not only a prerequisite for efficient routing but also significantly impacts the …

Low power wireless links are prone to fluctuate when the channel environment changes. In
order to reduce the impact of link fluctuations on data transmission, it is necessary to predict …

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 …

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 …

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 …

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 …