Reinforcement learning (RL), which is a class of machine learning, provides a framework by
which a system can learn from its previous interactions with its environment to efficiently …

In recent years, Software Defined Networking (SDN) has emerged as a pivotal element not
only in data-centers and wide-area networks, but also in next generation networking …

Recent advances in technology are delivering robots of reduced size and cost. A natural
outgrowth of these advances are systems comprised of large numbers of robots that …

In this article we discuss the state of the art of (mobile) multihop ad hoc networking. This
paradigm has often been identified with the solutions developed inside the IETF MANET …

Smart manufacturing, as an emerging manufacturing paradigm, leverages massive in-
context data from manufacturing systems for intelligent decision makings. In such context …

Wireless sensor networks (WSNs) enable new applications and require non-conventional
paradigms for protocol design due to several constraints. Owing to the requirement for low …

Peer-to-peer communication has been recently considered as a popular issue for local area
services. An innovative resource allocation scheme is proposed to improve the performance …

This survey aims to provide a comprehensive overview of the current research on
underwater wireless sensor networks, focusing on the lower layers of the communication …

In the past two decades, a lot of research activities have been dedicated to the fields of
mobile ad hoc network (MANET) and wireless sensor networks (WSN). More recently, the …

Guiding readers through the basics of these rapidly emerging networks to more advanced
concepts and future expectations, Mobile Ad hoc Networks: Current Status and Future …