Reliability estimation for drone communications by using an MLP-based model

Abstract

Unmanned aerial vehicles (UAVs) or drones have been widely employed in both military and civilian tasks due to their reliability and low cost. UAVs ad hoc networks also acknowledged as flying ad-hoc networks (FANETs), are multi-UAV systems arranged in an ad hoc manner. In order to maintain consistent and effective communication, reliability is a prime concern in FANETs. This paper presents an analytical framework to estimate the reliability of drones’ communication in FANETs. The proposed system takes into account the reliability of communications in FANETs, including channel fading. The suggested analytical investigation is used to generate a dataset, then an artificial neural network (ANN) based multi-layer perceptron (MLP) model is used to estimate the reliability of drones’ communication. Moreover, to define the best MLP model with hidden layers, the correlation coefficient (R2), mean square error (MSE), root mean square error (RMSE), and mean absolute percentage error (MAPE) are obtained. Moreover, numerical results are presented which verify analytical studies.

Time-varying reliability models for parallel systems consisting of beam structures with crack flaws

“…Neural networks have advantages in data prediction and fitting (Shah and Karabulut, 2022). The traditional BP neural network is a multi-layer feed-forward neural network that performs error correction through an error back-propagation algorithm.…”

“…Moreover, the components in the parallel system may contain certain defects, such as cracks or holes. These defects can cause mutual influence on the performance degradation of each component (Hsu and Shu, 2010;van Noortwijk, 2009;Arama et al, 2020). Therefore, the time-varying reliability evaluation of mechan-ical parallel systems with performance degradation of components becomes extremely complicated due to the complex failure dependence among components.…”

Improvement of Emergency Communication Systems Using Drones in 5G and Beyond for Safety Applications

“…Indeed, a multitude of applications, including those in the telecommunications, military, monitoring and surveillance, search and rescue operations, medical supply delivery, and disaster management, have been seen as being significantly facilitated by drones [5][6][7][8]. Over the course of the next ten years, wireless networks that support 5G and 6G are anticipated to be crucial in supporting the fast growing and pervasive use of drones in a broad range of applications [9][10][11][12][13][14]. The seamless, high-definition, instantaneous, always-on connection that customers need is the aim of the 6G.…”

Improvement of Emergency Communication Systems Using Drones in 5G and Beyond for Safety Applications

“…Indeed, a multitude of applications, including those in the telecommunications, military, monitoring and surveillance, search and rescue operations, medical supply delivery, and disaster management, have been seen as being significantly facilitated by drones [5][6][7][8]. Over the course of the next ten years, wireless networks that support 5G and 6G are anticipated to be crucial in supporting the fast growing and pervasive use of drones in a broad range of applications [9][10][11][12][13][14]. The seamless, high-definition, instantaneous, always-on connection that customers need is the aim of the 6G.…”