Abstract The Internet of Things (IoT) is expected to grow faster than any other category of
connected devices. IoT allows any device with an on-and-off switch to connect to the internet …

Envisioning the potentials of energy harvesting technology and the improved spectrum
reuse by joint utilization of overlay and underlay modes, this paper studies the throughput …

Natural disaster is one of the most important research topics worldwide. In this paper, a data
driven cyber-physical system is introduced to detect landslides. This system is composed of …

The low-tubal-rank tensor model has been recently proposed for real-world
multidimensional data. In this paper, we study the low-tubal-rank tensor completion problem …

In a resource-constrained Wireless Sensor Networks (WSNs), the optimization of the
sampling and the transmission rates of each individual node is a crucial issue. A high …

Efficient utilization of power has recently emerged as a critical issue in sensor networks that
is addressed by efficient clustering techniques. In WSN, clustering process selects cluster …

A multi-source fusion positioning system (MFPS) adopts a data fusion technique for hybrid
positioning. This technique fully utilizes several types of positioning sources in contrast to …

This paper studies an unmanned aerial vehicles (UAV) based data aggregation of wireless
sensor networks (WSNs). Data aggregation approaches based on Compressive Sensing …

Tensors are the cornerstone data structures in high-performance computing, big data
analysis and machine learning. However, tensor computations are compute-intensive and …

In recent years Wi-Fi fingerprinting has attracted much attention in indoor localization
because of the availability of high-quality signal and pervasive deployment of wireless …