This paper presents a communication network for a squadron of unmanned aerial vehicles (UAVs) to be used in the scanning rocket impact area for Barreira do Inferno Launch Center—CLBI (Rio Grande do Norte, Brazil), aiming at detecting intruder boats. The main features of communication networks associated with multi-UAV systems are presented. This system sends information through Wireless Sensor Networks (WSN). After comparing and analyzing area scanning strategies, it presents the specification of a data communication network architecture for a squadron of UAVs within a sensor network using XBee Pro 900HP S3B modules. A brief description is made about the initial information from the construction of the system. The embedded hardware and the design procedure of a dedicated communication antenna to the XBee modules are presented. In order to evaluate the performance of the proposed architecture in terms of robustness and reliability, a set of experimental tests in different communication scenarios is carried out. Network management software is employed to measure the throughput, packet loss and other performance indicators in the communication links between the different network nodes. Experimental results allow verifying the quality and performance of the network nodes, as well as the reliability of the communication links, assessing signal received quality, range and latency.
The use of unmanned aerial vehicles (UAV) to provide services such as the Internet, goods delivery, and air taxis has become a reality in recent years. The use of these aircraft requires a secure communication between the control station and the UAV, which demands the characterization of the communication channel. This paper aims to present a measurement setup using an unmanned aircraft to acquire data for the characterization of the radio frequency channel in a propagation environment with particular vegetation (Caatinga) and a lake. This paper presents the following contributions: identification of the communication channel model that best describes the characteristics of communication; characterization of the effects of large-scale fading, such as path loss and log-normal shadowing; characterization of small-scale fading (multipath and Doppler); and estimation of the aircraft speed from the identified Doppler frequency.
Environmental Protection Area (APA) are limited regions that have the main goal to conserve natural resources and the existing natural environment. However, controlling illegal anthropogenic actions in APAs is a difficult task, thus a proper monitoring system is required to solve this problem. In this paper we present a new communication architecture made with a multi Unmanned Aerial Vehicles (UAVs) network through XBee modules and an image processing system that uses a pretrained neural network to detect human activities in a Coral Reefs Environmental Protection Area (APARC). Simulations prove that the system is able to change data up to 6.3 km and the image processing algorithm was able to detect boats satisfactorily.
Este trabalho apresenta uma proposta para um sistema multi-VANT(Véıculo Aéreo Não Tripulado) para monitoramento deárea de proteção ambiental. Para tal é feita uma especificação de uma arquitetura de comunicação para os componentes de rede, escolha de uma tecnologia para troca de dados e uma breve apresentação do sistema de visão computacional. Como resultado preliminar foi realizada uma comparação entre os módulos XBee S1 e S3 para definir qual será embarcado nas aeronaves.
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