The fifth generation (5G) wireless technology emerged with marvelous effort to state, design,
deployment and standardize the upcoming wireless network generation. Artificial …

This paper is an influential attempt to identify and alleviate some of the issues with the
recently proposed optimization technique called the Marine Predator Algorithm (MPA). With …

As the automotive and telecommunication industries advance, more vehicles are becoming
connected, leading to the realization of intelligent transportation systems (ITS). Vehicular ad …

Federated learning (FL) is the up-to-date approach for privacy constraints Internet of Things
(IoT) applications in next-generation mobile network (NGMN), 5 th generation (5G), and 6 th …

Federated learning (FL) activates distributed on-device computation techniques to model a
better algorithm performance with the interaction of local model updates and global model …

In many IIoT architectures, various devices connect to the edge cloud via gateway systems.
For data processing, numerous data are delivered to the edge cloud. Delivering data to an …

In this paper, we propose a hospital sensor network deployment method for smart
healthcare systems. Since sensor nodes in hospitals are always in an environment where …

Massive-Multiple Inputs and Multiple Outputs (M-MIMO) is considered as one of the standard
techniques in improving the performance of Fifth Generation (5G) radio. 5G signal detection …

The heterogeneous novelty applications present in the 5th generation (5G) era, including
machine‐type communication (mMTC), enhanced mobile broadband (eMBB) …

Federated learning (FL) provides a collaborative framework that enables intelligent
networking devices to train a shared model without the need to share local data. FL has …