This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …

Recently, ZigBee Smart Energy profile has been developed for various smart grid
applications, such as automatic metering, demand response, load control, power fraud …

In this paper, we present the Learning Greedy Link Scheduling (LGLS) algorithm, a novel
approach for optimizing link scheduling in wireless networks. By integrating deep learning …

The success of the Internet of Things (IoT) depends on the ability to provide reliable
communication to the billions of devices that are used in many applications. In essence …

Wireless Sensor networks (WSNs) are composed of small hardware devices that possess
the ability to measure and exchange a variety of environmental data. In this paper, we …

The paper introduces an innovative way of exploiting aerial robotics or Unmanned Aerial
Vehicles (UAVs) in the communication field which adds up a wider angle of applications to …

Software-defined wireless mesh networks are being increasingly deployed in diverse
settings, such as smart cities and public Wi-Fi access infrastructures. The signal propagation …

Protocols and applications in wireless mesh networks often optimize their performance by
measuring the quality of wireless links. However, measuring and characterizing link quality …

针对现有链路质量预测算法不适用于实际通信场景的问题, 该文提出一个不依赖于任何特定信号
传输模型和节点移动模型, 低复杂度的实时链路质量预测算法, 并将其应用于稳定路由协议设计 …

Experimental studies in wireless sensor networks reveal a region with random packet loss
and highly unreliable links. Some studies refer to the region as the Grey Area. This area may …