Sistema de monitorización de variables agrícolas basado en la tecnología WSN para el cultivo de la yuca

Maestría en IngenieríaAgriculture and natural resources associated to it, like water, soil and forest carry out an important role in country’s future and environment conservation, thus, the optimization of these resources through implementation strategies and technological gadgets make this possible (Perfetti, Balcázar, Hernández, & Leibovich, 2013). Different platforms, communication protocols and operative systems for motes were analyzed, focused on WSN (Wireless Sensor Network). Then, an agricultural monitoring prototype for yucca farming in Atlantico department was developed, based on Z1 Zolertia platform, programmed by Contiki language and working with RPL protocol (Routing Protocol for Low-Power and Lossy Networks). The motes integration, the operative system and protocol, were evaluated with packet losses performance metrics, RSSI (Received Signal Strength Indicator), LQI (Link Quality Indicator) and network convergence, showing a good performance at different distances. Later, a deployment model was made based on regular polygons, using the Schäfli (the number of nodes can be calculated avoiding randomness). Additionally, the node coverage range was calculated, obtaining the distance between them to keep the network uniformity as suggested in (Poe & Scmitt, 2009). Link Networks Budgets were made with the calculated distances and device specifications, using Radio Mobile software, to finally plant a deployment model.La agricultura y en general los recursos naturales asociados al desarrollo de esta, como el agua, suelos y los bosques, cumplen un rol importante en el futuro de los países y la conservación del medio ambiente, por consiguiente se ha procurado la optimización de éstos recursos mediante la implementación de estrategias y herramientas tecnológicas que así lo posibiliten, tal como lo plantea (Perfetti, Balcázar, Hernández, & Leibovich, 2013). Se analizaron diferentes plataformas de hardware, protocolos de comunicación y sistemas operativos para motas, enfocados a las WSN (Wireless Sensor Network). Luego, se desarrolló un prototipo de monitorización de variables agrícolas para el cultivo de yuca en el Departamento del Atlántico, basado en la plataforma Z1 de la empresa Zolertia, programada a través del lenguaje Contiki y funcionando con el protocolo RPL (Routing Protocol for Low-Power and Lossy Networks - Protocolo de enrutamiento para redes de bajo consumo y pérdidas). La integración de las motas, el sistema operativo y el protocolo se evaluaron con métricas de rendimiento de pérdida de paquetes, RSSI (Received Signal Strength Indicator - Indicador de Fuerza de la Señal Recibida), LQI (Link Quality Indicator - Indicador de la Calidad de la Señal) y convergencia de la red, mostrando un buen funcionamiento a diferentes distancias. Posteriormente se realizó un modelo de despliegue basado en polígonos regulares, haciendo uso de las ecuaciones de Schläfli (la cantidad de nodos se pudo calcular evitando la aleatoriedad). Adicionalmente se calculó el rango de cobertura para los nodos obteniendo la distancia que deben tener entre sí para mantener la uniformidad en la red según lo sugerido en (Poe & Schmitt, 2009). Se realizaron presupuestos de enlaces de la red con las distancias calculadas y las características de los equipos, evaluados a través del software Radio Mobile, para finalmente plantear un modelo de despliegu

A Design of Greenhouse Remote Monitoring System Based on WSN and WEB

Part 1: Simulation, Optimization, Monitoring and Control TechnologyInternational audienceWireless sensor networks (WSN) are increasingly popular in the field of greenhouse environment monitoring. In this paper, a new design of greenhouse remote monitoring system based on WSN and WEB is presented. The system has a three-tier structure of node layer, distributed management layer and WEB service layer. Experiments showed that the node layer has excellent self-organization and communication ability. The maximum distance of one-hop is 856 m. The distributed management layer can acquire and manage the data of temperature, humidity, light and the level of the carbon dioxide, and simultaneously send the data to WEB server database through the Internet. The WEB service layer can complete format storage, statistical analysis and conditional query for database, also ordinary users can obtain the graphic display of the greenhouse environment data through web browser. Normal working time of system reaches 141 days in the experiment. Meanwhile, normal operation rate exceeds 92%. Packet transfer rate of each sensor node is higher than 89.6% and lower than 95.4%.The greenhouse remote monitoring system based on WSN and WEB can realize an organic combination between distributed management and remote data sharing throughout different regions