Deep Reinforcement Learning (DRL) has recently witnessed significant advances that have
led to multiple successes in solving sequential decision-making problems in various …

As a promising machine learning tool to handle the accurate pattern recognition from
complex raw data, deep learning (DL) is becoming a powerful method to add intelligence to …

In conventional networks, there was a tight bond between the control plane and the data
plane. The introduction of Software-Defined Networking (SDN) separated these planes, and …

The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …

More buildings are becoming smart day by day which play a key role in development of
smart cities and Internet of Things is essential in the development of such smart buildings …

The computer networking community has been steadily increasing investigations into
machine learning to help solve tasks such as routing, traffic prediction, and resource …

Optimal operation configuration of a Wireless Sensor Network (WSN) can be determined by
utilizing exact mathematical programming techniques such as Mixed Integer Programming …

A major problem for low Earth orbit (LEO) constellations with intersatellite links is the efficient
routing of the data packets through such a highly dynamic network. In order to achieve a …

(57) ABSTRACT A controller device sends predictions from a machine learn ing module to
source endpoints. The controller receives flow information and network information from a …

A mobile ad hoc network (MANET) is a self-organizing network composed of multiple mobile
nodes. These nodes achieve distributed communication and wireless resource sharing …