Deep learning (DL) is a subdivision of machine learning (ML) that employs numerous
algorithms, each of which provides various explanations of the data it consumes; mobile ad …

Unlike commercial networks, the tactical networks drive in a critical environment and without
a backbone infrastructure. These networks involve mission-critical operations that are …

There is growing concern regarding secure data transfer due to the use of Mobile Adhoc
Network (MANET) in many forthcoming technologies and applications. This research …

Mobile Ad hoc NETworks (MANET) are infrastruc-tureless networks that are mostly used in
emergency situations where the base station is damaged. The most important applica-tion of …

The Mobile Ad-hoc Network (MANET) includes both the optimal allocation of shared
channels and power in a network. Hence, obtaining the trade-off between energy …

Recent developments in wireless networking and communication have demonstrated
improvements in many areas of our lives at a fast pace. Yet still the wireless industry is still …

Abstract In the Current Scenario, energy consumption in the wireless ad-hoc network is most
important mean criteria for different routing algorithms. Energy of the nodes in wireless ad …

Unmanned Aerial Vehicle (UAV) networks have been widely used in both military and
civilian scenarios. When users are interested in the statistical information of the historical …

High congestion, mobility, and energy restrictions are the critical challenges to mobile
networks. The conventional routing protocols are unable to ensure effective and reliable …

In this contribution we consider the problem of optimal drone positioning for improving the
operation of a mobile ad hoc network. We build upon our previous results devoted to the …