A New FANET Simulator for Managing Drone Networks and Providing Dynamic Connectivity

Abstract

In the last decade, the attention on unmanned aerial vehicles has rapidly grown, due to their ability to help in many human activities. Among their widespread benefits, one of the most important uses regards the possibility of distributing wireless connectivity to many users in a specific coverage area. In this study, we focus our attention on these new kinds of networks, called flying ad-hoc networks. As stated in the literature, they are suitable for all emergency situations where the traditional networking paradigm may have many issues or difficulties to be implemented. The use of a software simulator can give important help to the scientific community in the choice of the right UAV/drone parameters in many different situations. In particular, in this work, we focus our main attention on the new ways of area covering and human mobility behaviors with the introduction of a UAV/drone behavior model to take into account also drones energetic issues. A deep campaign of simulations was carried out to evaluate the goodness of the proposed simulator illustrating how it works.

Unmanned Vehicles’ Placement Optimisation for Internet of Things and Internet of Unmanned Vehicles

“…The initial placement for all the following scenarios is depicted in Figure 11, whereas the target wireless sensor network is WSN4. We introduce the performance indicator σ, which represents the ratio between the sum of all subunitary weights of the edges of the path and the total number of edges of the path of the communication graph (σ = s n vn +1 , where s is computed based on Equation (30). When a successful link is established between the gateway and served WSN, s → n vn + 1 and, thus, σ → 1.…”

“…Dynamic UAV-based communication led to the development of the so-called Flying Ad Hoc Network (a multi-UAV network) [30] which has many advantages and applications, as well. Thus, it may imply lower costs than the usual infrastructure, especially when a multi-layer ad hoc network approach is preferred [31].…”

A Review on Various Routing Protocol Designing Features for Flying Ad Hoc Networks

“…Bhardwaj and Kaur [28] explained the process of the chaotic artificial algae algorithm, and it implements the efficient routing protocol for improvement of QoS and QoE metrics. Tropea et al [4] discussed the unmanned aerial vehicles/drone behavior model (UAV) for the FANET simulator to improve the dynamic connectivity between the drones. Kakamoukas et al [29] implemented the iFORP-3DD model for one-to-one direct communication, and it determines the operation time.…”

“…This network will help the fast communication between the unmanned aerial vehicles and acts like human mobility. Due to high mobility changes [4] in Flying Ad Hoc Networks, there is a possibility of abrupt change in the topology and should be maintained by using a routing protocol. The most important area for improving the quality of services, distribution rate, and throughput is the design of the routing protocol for Flying Ad Hoc Networks [5].…”

Unmanned Aerial Vehicles—Platforms, Applications, Security and Services

“…The third paper, entitled "A New FANET Simulator for Managing Drone Networks and Providing Dynamic Connectivity" [3], deals with the possibility of providing wireless connectivity using a flying ad-hoc network (FANET) in all those emergency situations where the traditional network can meet several difficulties. A software simulator is proposed implementing different models-footprint, human mobility and drone behavior.…”