The traditional production paradigm of large batch production does not offer flexibility toward
satisfying the requirements of individual customers. A new generation of smart factories is …

While machine learning and artificial intelligence have long been applied in networking
research, the bulk of such works has focused on supervised learning. Recently, there has …

The family of conventional half-duplex (HD) wireless systems relied on transmitting and
receiving in different time slots or frequency subbands. Hence, the wireless research …

Abstract Wireless Sensor Networks (WSNs) have attracted various academic researchers,
engineers, science, and technology communities. This attraction is due to their broad …

The wireless research community aspires to conceive full duplex operation by supporting
concurrent transmission and reception in a single time/frequency channel for the sake of …

Wireless sensor networks (WSNs) have attracted substantial research interest, especially in
the context of performing monitoring and surveillance tasks. However, it is challenging to …

The grey wolf optimizer (GWO) is a novel type of swarm intelligence optimization algorithm.
An improved grey wolf optimizer (IGWO) with evolution and elimination mechanism was …

A novel dynamic spectrum sharing method inspired by natural communities based on social
language has been proposed to overcome prevailing spectrum underutilization and scarcity …

Traditional power grids are currently being transformed into smart grids (SGs). SGs feature
multi-way communication among energy generation, transmission, distribution, and usage …

Machine-to-machine (M2M) communication is an emerging technology to provide ubiquitous
connectivity among devices without human intervention. The cellular networks are …