This comprehensive review paper explores the intricate integration of biosensors with multi-
hop Internet of Things (IoT) systems, representing a paradigm shift in healthcare through …

In this paper, we explore the emerging role of graph neural networks (GNNs) in optimizing
routing for next-generation communication networks. Traditional routing protocols, such as …

In the rapidly evolving landscape of the Internet of Things (IoT), the security and efficiency of
network routing are paramount. The standard Routing Protocol for Low-Power and Lossy …

Abstract Resource Scheduling and Distributed learning play a key role in Internet of Things
(IoT) edge computing systems. There has been extensive research in each area, however …

The rapid growth of Internet of Things (IoT) applications depends on the deployment of
numerous heterogeneous devices, and the deployed devices require various …

Artificial intelligence (AI) transforms communication networks by enabling more efficient data
management, enhanced security, and optimized performance across diverse environments …

A wireless sensor network (WSN) is made up of many nodes that can send sensed data to
the base station or sink directly or through intermediary nodes. However, geographically …

It is becoming more and more important for healthcare providers to protect the integrity and
security of sensitive medical data as they use cloud computing for data processing and …

A solution for neural traffic congestion is necessary to ensure efficient and reliable
communication within neural networks, minimizing delays and disruptions that can impede …

A dramatic shift in the present network architecture exemplifies how two of the most
promising new technologies, blockchain and the Internet of Things (IoT), are already …