The inference of traffic volume of the whole network from partial traffic measurements
becomes increasingly critical for various network engineering tasks, such as capacity …

Network latency prediction is important for server selection and quality-of-service estimation
in real-time applications on the Internet. Traditional network latency prediction schemes …

Most range-based localization approaches for wireless sensor networks (WSNs) rely on
accurate and sufficient range measurements, yet noise and data missing are inevitable in …

Monitoring the performance of a large network is very costly. Instead, a subset of paths or
time intervals of the network can be measured while inferring the remaining network data by …

In recent years, end-to-end network latency estimation has attracted much attention because
of its significance for network performance evaluation. Given the widespread use of personal …

A recent advance in networking is the deployment of path-aware multipath network
architectures, where network endpoints are given multiple network paths to send their data …

A recent advance in networking is the deployment of path-aware multipath network
architectures, where network endpoints are given multiple network paths to send their data …

The surge in demand for latency-sensitive services has propelled network distance
measurement to the forefront of networking research. Utilizing the low-rank structure of full …

Network distance measurement is crucial for evaluating network performance, attracting
significant research attention. However, conducting measurements for the entire network is …

The domain of Multi-Network Latency Prediction for IoT and Wireless Sensor Networks
(WSNs) confronts significant challenges. However, continuous research efforts and progress …