Diseño de una red de monitorización de variables meteorológicas relacionadas a los tornados en Barranquilla-Colombia y su área metropolitana

Cama-Pinto, Alejandro; Piñeres-Espitia, Gabriel; Comas-González, Zhoe; Vélez-Zapata, Jaime; Gómez-Mula, Francisco

doi:10.4067/s0718-33052017000400585

Cited by 4 publications

(1 citation statement)

References 28 publications

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“…It is usually used for low-cost applications in outdoor environments [3,4] to study the variability in the collection of environmental parameters for precision agriculture [5,6], such as temperature, humidity, soil nutrients, etc., deployed in vegetation environments [7,8]. The nodes are equipped with a microprocessor, transceiver, energy unit, and sensors that collect, process, and store data [9].…”

Section: Introductionmentioning

confidence: 99%

Empirical Model of Radio Wave Propagation in the Presence of Vegetation inside Greenhouses Using Regularized Regressions

Cama-Pinto

Damas

Holgado-Terriza

et al. 2020

Sensors

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Spain is Europe’s leading exporter of tomatoes harvested in greenhouses. The production of tomatoes should be kept and increased, supported by precision agriculture to meet food and commercial demand. The wireless sensor network (WSN) has demonstrated to be a tool to provide farmers with useful information on the state of their plantations due to its practical deployment. However, in order to measure its deployment within a crop, it is necessary to know the communication coverage of the nodes that make up the network. The multipath propagation of radio waves between the transceivers of the WSN nodes inside a greenhouse is degraded and attenuated by the intricate complex of stems, branches, leaf twigs, and fruits, all randomly oriented, that block the line of sight, consequently generating a signal power loss as the distance increases. Although the COST235 (European Cooperation in Science and Technology - COST), ITU-R (International Telecommunications Union—Radiocommunication Sector), FITU-R (Fitted ITU-R), and Weisbberger models provide an explanation of the radio wave propagation in the presence of vegetation in the 2.4 GHz ICM band, some significant discrepancies were found when they are applied to field tests with tomato greenhouses. In this paper, a novel method is proposed for determining an empirical model of radio wave attenuation for vegetation in the 2.4 GHz band, which includes the vegetation height as a parameter in addition to the distance between transceivers of WNS nodes. The empirical attenuation model was obtained applying regularized regressions with a multiparametric equation using experimental signal RSSI measurements achieved by our own RSSI measurement system for our field tests in four plantations. The evaluation parameters gave 0.948 for R2, 0.946 for R2 Adj considering 5th grade polynomial (20 parameters), and 0.942 for R2, and 0.940 for R2 Adj when a reduction of parameters was applied using the cross validation (15 parameters). These results verify the rationality and reliability of the empirical model. Finally, the model was validated considering experimental data from other plantations, reaching similar results to our proposed model.

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Section: Introductionmentioning

confidence: 99%

Empirical Model of Radio Wave Propagation in the Presence of Vegetation inside Greenhouses Using Regularized Regressions

Cama-Pinto

Damas

Holgado-Terriza

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

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Human Activity Recognition Through Wireless Body Sensor Networks (WBSN) Applying Data Mining Techniques

Rocha

Piñeres-Espitia

Butt

et al. 2021

Smart Innovation, Systems and Technologies

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The research field on technologies and wireless sensor networks (WSN) are becoming one of the most disruptive technologies that support different scenarios of ubiquitous and generalized computing. WSN applied to the human body is generally called wireless body sensor networks. WSN can provide large quantities of data. The use of data mining techniques has allowed expanding WSN in new areas like biomedicine or telemedicine. The identification of psychological patterns and human activity recognition are two important trends to follow. In the current study, it is applied a SEMMA methodology to implement data mining clustering and classification techniques over RSS signal samples of a WBSN, based on IEEE 802.15.4 networks, with the intention of recognizing human activities based on samples. Two algorithms are applied, C4.5 and LTM for evaluate the rate success in the prediction.

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Performance analysis of 6LoWPAN protocol for a flood monitoring system

Piñeres-Espitia

Butt

Francisco

et al. 2022

J Wireless Com Network

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The internet of things is a disruptive technology that has been applied as a solution to problems in many fields of monitoring environmental variables. It is supported by technologies such as wireless sensor networks, which offer many protocols and hardware platforms in the market today. Protocols such as 6LoWPAN are novel, so this work focuses on determining whether its implementation on TelosB mote is feasible; these would be placed on an experimental deployment for a particular scenario of flash floods in a sector known as “La Brigada”, in the city of Barranquilla. This proposal has not been evaluated in Colombia for this type of application, and no similar work has been done for this type of scenario. For the evaluation of 6LoWPAN, a deployment with two end nodes and a sink node has been designed, due to the monitoring section under study; 5-min tests are proposed where through round trip time traffic PINGv6 packets are generated back and forth (Echo) between a sink node and two end nodes. The results are based on the evaluation of metrics such as delay and ping packet request/response rate. The performance of these metrics is subject to test scenarios that vary according to distance, packet size, and channel scan time. Two routing options, static or dynamic, are also proposed for this application case. The tests performed yielded results in terms of better performance in the test scenarios for packets with an average size of 120 B and channel monitoring times of 1024 ms. Likewise, the use of the TelosB platform was validated as a viable and innovative option for a monitoring scenario to flash floods in short stretches of the city of Barranquilla—Colombia. This study is important because it can provide information on the use of the TelosB platform as a valid solution for similar application scenarios; furthermore, the tests performed can be replicated in similar studies to evaluate congestion, power consumption, routing, topologies, and other metrics. This study is providing a road map for the research community to follow the simulation scenario to apply the test to their own studies. This work also provides the guidelines for similar researchers to monitor the flood in their own regions and then compare their results with this study.

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Diseño de una red de monitorización de variables meteorológicas relacionadas a los tornados en Barranquilla-Colombia y su área metropolitana

Cited by 4 publications

References 28 publications

Empirical Model of Radio Wave Propagation in the Presence of Vegetation inside Greenhouses Using Regularized Regressions

Empirical Model of Radio Wave Propagation in the Presence of Vegetation inside Greenhouses Using Regularized Regressions

Human Activity Recognition Through Wireless Body Sensor Networks (WBSN) Applying Data Mining Techniques

Performance analysis of 6LoWPAN protocol for a flood monitoring system

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