Forecasted datasets of electric vehicle consumption on the electricity grid of Spain

The information included in this study were calculated on the basis of data provided by the Spanish electricity grid, for thirteen years between 2007 and 2019. This data includes: the average consumption demand on the Spanish electricity grid at national level, and its availability. Subsequently, the report looks at the number of electric vehicles that could be supported in the years 2020–2023, depending on the consumption demand and availably of the electricity grid for those future years. The data presented in the article refers to the research study: ‘Electric vehicles in Spain: An overview of charging systems’ and ‘Analysis of charging stations for electric vehicles in Spain

Data supporting the reconstruction study of missing wind speed logs using wavelet techniques for getting maximum likelihood

The data to construct the missing wind-speed value in the weather station record at “Collado de Yuste”, between the years 2002 to 2012, was calculated using wind speed data recorded in two other nearby weather stations, those in “Solana del Zapatero” and “Calar Alto”. The three mentioned stations are located in the mountain range of the province of Almeria, Autonomous Community of Andalusia, Spain. After calculating the degree of association using the correlation coefficient and Wavelet Transform Scalogram, the data was successfully constructed. This paper refers to another study: Wind missing data arrangement using wavelet based techniques for getting maximum likelihoo

Radio wave attenuation measurement system based on RSSI for precision agriculture: application to tomato greenhouses

Precision agriculture and smart farming are concepts that are acquiring an important boom due to their relationship with the Internet of Things (IoT), especially in the search for new mechanisms and procedures that allow for sustainable and efficient agriculture to meet future demand from an increasing population. Both concepts require the deployment of sensor networks that monitor agricultural variables for the integration of spatial and temporal agricultural data. This paper presents a system that has been developed to measure the attenuation of radio waves in the 2.4 GHz free band (ISM- Industrial, Scientific and Medical) when propagating inside a tomato greenhouse based on the received signal strength indicator (RSSI), and a procedure for using the system to measure RSSI at different distances and heights. The system is based on Zolertia Re-Mote nodes with the Contiki operating system and a Raspberry Pi to record the data obtained. The receiver node records the RSSI at different locations in the greenhouse with the transmitter node and at different heights. In addition, a study of the radio wave attenuation was measured in a tomato greenhouse, and we publish the corresponding obtained dataset in order to share with the research community

Wireless sensor networks and the Internet of Things

El Internet de las cosas (IoT) percibe un mundo donde los dispositivos que lo conforman pueden ser identificados en el Internet y está creciendo a un ritmo acelerado con nuevos dispositivos que se van conectando. En este sentido, las redes de sensores inalámbricos juegan un papel importante para incrementar la ubicuidad de las redes con dispositivos inteligentes de bajo costo y fácil implementación, con estándares como IEEE 802.15.4 en la capa física, 6LoWPAN en la capa de red, y RPL como protocolo de enrutamiento, que se integran en el concepto de IoT para traer nuevas experiencias en las actividades de la vida diaria, como por ejemplo en aplicaciones para hogares y oficinas confortables, salud, vigilancia del medio ambiente y ciudades inteligentes. En el presente artículo se relacionará a la red de sensores inalámbricos con el Internet de las cosas a través de estándares y protocolos.The Internet of Things (IoT) perceives a world where the devices that make it up can be identified on the Internet and is growing at an accelerated pace with new devices that are connecting. In this sense, wireless sensor networks play an important role in increasing the ubiquity of networks with smart devices low cost and easy implementation, with standards such as IEEE 802.15.4 in the physical layer, 6LoWPAN in the network layer, and RPL as a routing protocol, which are integrated into the IoT concept to bring new experiences in the activities of the daily life, such as in applications for comfortable homes and offices, health, environmental monitoring and smart cities. In this article, the wireless sensor network will be related to the Internet of things through standards and protocols

Path Loss Determination Using Linear and Cubic Regression Inside a Classic Tomato Greenhouse

The production of tomatoes in greenhouses, in addition to its relevance in nutrition and health, is an activity of the agroindustry with high economic importance in Spain, the first exporter in Europe of this vegetable. The technological updating with precision agriculture, implemented in order to ensure adequate production, leads to a deployment planning of wireless sensors with limited coverage by the attenuation of radio waves in the presence of vegetation. The well-known propagation models FSPL (Free-Space Path Loss), two-ray, COST235,Weissberger, ITU-R (International Telecommunications Union—Radiocommunication Sector), FITU-R (Fitted ITU-R), offer values with an error percentage higher than 30% in the 2.4 GHz band in relation to those measured in field tests. As a substantial improvement, we have developed optimized propagation models, with an error estimate of less than 9% in the worst-case scenario for the later benefit of farmers, consumers and the economic chain in the production of tomatoes.This research received fund by the Ibero-American Postgraduate University Association (AUIP)

Projections of iot applications in Colombia using 5G wireless networks

Wireless technologies are increasingly relevant in different activities and lines of the economy, as well as in the daily life of people and companies. The advent of fifth generation networks (5G) implies a promising synergy with the Internet of Things (IoT), allowing for more automations in production processes and an increase in the efficiency of information transmission, managing to improve the efficiency in decision-making through tools such as big data and artificial intelligence. This article presents a description of the 5G implementation process in Colombia, as well as a revision of opportunities when combining with IoT in featured sectors of the departmental development plans, such as agriculture, tourism, health, the environment, and industry. Results shows that the startup of 5G in Colombia has been a slow process, but there are comparisons with similar procedures in other developed countries. Additionally, we present examples of 5G and IoT applications which can be promoted in Colombia, aimed at improving the quality of life of their habitants and promoting economic development

Modeling of Path Loss for RadioWave Propagation in Wireless Sensor Networks in Cassava Crops Using Machine Learning

Modeling radio signal propagation remains one of the most critical tasks in the planning of wireless communication systems, including wireless sensor networks (WSN). Despite the existence of a considerable number of propagation models, the studies aimed at characterizing the attenuation in the wireless channel are still numerous and relevant. These studies are used in the design and planning of wireless networks deployed in various environments, including those with abundant vegetation. This paper analyzes the performance of three vegetation propagation models, ITU-R, FITU-R, and COST-235, and compares them with path loss measurements conducted in a cassava field in Sincelejo, Colombia. Additionally, we applied four machine learning techniques: linear regression (LR), k-nearest neighbors (K-NN), support vector machine (SVM), and random forest (RF), aiming to enhance prediction accuracy levels. The results show that vegetation models based on traditional approaches are not able to adequately characterize attenuation, while models obtained by machine learning using RF, K-NN, and SVM can predict path loss in cassava with RMSE and MAE values below 5 dB

Las redes de sensores inalámbricos y el internet de las cosas

El Internet de las cosas (IoT) percibe un mundo donde los dispositivos que lo conforman pueden ser identificados en el Internet y está creciendo a un ritmo acelerado con nuevos dispositivos que se van conectando. En este sentido, las redes de sensores inalámbricos juegan un papel importante para incrementar la ubicuidad de las redes con dispositivos inteligentes de bajo costo y fácil implementación, con estándares como IEEE 802.15.4 en la capa física, 6LoWPAN en la capa de red, y RPL como protocolo de enrutamiento, que se integran en el concepto de IoT para traer nuevas experiencias en las actividades de la vida diaria, como por ejemplo en aplicaciones para hogares y oficinas confortables, salud, vigilancia del medio ambiente y ciudades inteligentes. En el presente artículo se relacionará a la red de sensores inalámbricos con el Internet de las cosas a través de estándares y protocolos