Federated learning is a type of distributed machine learning in which models learn by using
large-scale decentralized data between servers and devices. In a short-range wireless …

Structural health monitoring (SHM) is a kind of data‐intensive applications for wireless
sensors network (WSN), which usually requires a high network capacity. However, the …

We are becoming more reliant on multi-hop wireless networks (MWNs) for public safety,
tactical/military, and last mile Internet communications. The architecture of an MWN can be …

In this paper, the problem of ensuring packet delivery ratio and high network lifetime in
wireless sensor networks in the presence of single or multiple jammers is studied using …

For public safety or military purposes, it is needed to introduce a unified architecture of multi-
hop wireless networks that include both flat (ad-hoc) networks and hierarchical (mesh) …

NS-2 is a network simulator tool which is used to simulate and analyze the wired and
wireless networks; it provides the substantial support for the simulation of different type of …

In this paper, the problem of ensuring packet delivery ratio and high network lifetime in
wireless sensor networks in the presence of single or multiple jammers is studied using …