2016
DOI: 10.5296/npa.v7i4.8816
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Ad hoc Network for Emergency Rescue System based on Unmanned Aerial Vehicles

Abstract: Intelligent Unmanned Aerial Vehicles (UAVs) on emergency rescue are widely used to detect injured mountaineers in inaccessible areas. These systems should satisfy several features. It is important to know the georeference of the injured mountaineers. It is also important to have real-time images of the area where people have suffered the accident. In this paper, we present the development of a UAV integrated within a wireless ad hoc network and the communication protocol that is able to transfer data between s… Show more

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Cited by 25 publications
(19 citation statements)
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References 15 publications
(17 reference statements)
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“…A second stream of research takes a design approach as AI techniques are integrated into agricultural practices to improve irrigation systems, crop and soil health, identification of crop diseases, weed control, and sustainable agricultural practices. Research has considered the design of applications, such as the Internet of things (IoT)-based irrigation systems [25], sensors to monitor soil moisture, pH, humidity, temperature [26], and digital soil mapping utilizing AI technology to improve agricultural output and improve soil health [27]. The potential of AI to enhance productivity and combat challenges of weather unpredictability, crop loss, and economic stagnancy can revolutionize the current system of agricultural practices [28] and augment the economic benefits of agriculture.…”
Section: It In the Agricultural Sectormentioning
confidence: 99%
“…A second stream of research takes a design approach as AI techniques are integrated into agricultural practices to improve irrigation systems, crop and soil health, identification of crop diseases, weed control, and sustainable agricultural practices. Research has considered the design of applications, such as the Internet of things (IoT)-based irrigation systems [25], sensors to monitor soil moisture, pH, humidity, temperature [26], and digital soil mapping utilizing AI technology to improve agricultural output and improve soil health [27]. The potential of AI to enhance productivity and combat challenges of weather unpredictability, crop loss, and economic stagnancy can revolutionize the current system of agricultural practices [28] and augment the economic benefits of agriculture.…”
Section: It In the Agricultural Sectormentioning
confidence: 99%
“…Existen otros proyectos de monitorización de variables agronómicas en invernaderos a través de redes de sensores y comparativas de diferentes tecnologías dentro de las redes 802.15.4 que han tenido buena aceptación como la presentada por H. Ibayashi [8] donde expone el uso de redes funcionando a una frecuencia de 429 MHz y a 2,4GHz en Japón mostrando menores tasas de error el uso de frecuencias en 429MHz o Sensorscope en el que G. Barrenetxea nos presenta un sistema de monitorización ambiental usando nodos de comunicación en la banda 868 MHz [9], son proyectos que emplean los estándares IEEE 802.15.4, para la creación de WSN. Como muestran las diferentes tecnologías inalámbricas (Ver Tabla I), RF24 es la unica que nos oferce una solución compacta con muy poco consumo energético y con un coste claramente inferior a los demás, se observa una diferencia entre los consumos energéticos del uso de un transceptor bajo WiFi al uso de un RF24, con el que podemos asegurar las comunicaciones durante un tiempo de vida de batería bastante extenso.…”
Section: Trabajos Relacionadosunclassified
“…Within the context of the Internet of mobile things, this paper focuses on observing a set of mobile targets, i.e., sensors, using a fleet of Unmanned Aerial Vehicles (UAVs), i.e., flying drones. Specific applications such as wildlife monitoring [1], vehicle observation and tracking [2] in smart cities and monitoring sporting events [3,4] can benefit from the results presented in this paper. In our context, the flying drones act as a wireless mobile backbone, covering the targets on the ground and collecting information from them.…”
Section: Introductionmentioning
confidence: 99%