The individual and integration use of the Internet of Things (IoT), Information-Centric
Networking (ICN), and Federated Learning (FL) have recently been used in several network …

Majority of the learning algorithms used for the training of feedforward neural networks
(FNNs), such as backpropagation (BP), conjugate gradient method, etc. rely on the …

The Internet is evolving, and data is a critical component of today's Internet. People are more
interested in data than data location. An information‐centric network (ICN) uses this idea …

Context: Data traffic increased in recent years due to the expansion of IoT (Internet of
Things) applications, and most IoT applications follow a content-oriented paradigm. The host …

Abstract In Energy Harvesting Wireless Sensor Networks (EHWSN), the communication
protocol will directly affect the final performance of the network, so it is necessary to study the …

In this paper, multilayer cryptosystems for encrypting audio communications are proposed.
These cryptosystems combine audio signals with other active concealing signals, such as …

In-Network caching is one of the most prominent features of Information-Centric Networks
(ICN). This feature, designed to reduce the content delivery time, can improve data …

In the typical scenario of the Internet of Vehicles (IoV), the edge servers (ESs) are laid out
near the road side units (RSUs) to process the collected data for a variety of IoV services in …

At the edge of the network close to the source of the data, edge computing deploys
computing, storage and other capabilities to provide intelligent services in close proximity …

Abstract In the Internet of Things (IoT) environment, the services provided by the connected
objects are published as services through the web. This allows to machines to interact …