Valdivia, Leonardo
Main Affiliation
Preferred name
Valdivia, Leonardo
Official Name
Valdivia Parga, Leonardo Jesús
ORCID
0000-0001-7545-7441
Researcher ID
DZS-8846-2022
Scopus Author ID
57007977900
40 results
Now showing 1 - 10 of 40
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Item type:Publication, Experimental and data-driven evaluation of transport-layer and application-layer security for MQTT-based IoT networks(Elsevier BV, 2026-12); ;Alvarez-Garcia, Maria Fernanda; ; Varela-Aldás, JoséThe rapid expansion of Internet of Things (IoT) deployments has intensified the need for secure and efficient communication mechanisms tailored to resource-constrained devices. Message Queuing Telemetry Transport (MQTT) is widely adopted due to its lightweight design; however, it lacks native security support, requiring external protection mechanisms that may significantly affect system performance. This paper presents a comprehensive experimental and data-driven evaluation of two security paradigms for MQTT-based IoT networks implemented on ESP32 microcontrollers: transport-layer security using TLS and application-layer encryption based on elliptic curve cryptography (ECC) for key exchange combined with AES symmetric encryption. The analysis jointly evaluates memory utilization, end-to-end latency, energy consumption, and resistance to passive traffic interception under identical experimental conditions. In addition to conventional metric-based comparisons, multivariate statistical analysis and unsupervised learning techniques are employed as exploratory tools to characterize the system-level behavior induced by each security scheme. Results show that Transport Layer Security (TLS) offers stronger confidentiality guarantees at the cost of higher memory overhead, while the ECC–(Advanced Encryption Standard) AES approach significantly reduces memory footprint with moderate latency penalties and comparable energy consumption. Multivariate analysis further reveals that each security mechanism induces a distinct performance regime, providing a compact joint characterization of the security–performance trade-offs across the evaluated configurations. © 2026 - Some of the metrics are blocked by yourconsent settings
Item type:Patent, Cama semiautomática medidora para esterilización de animalesLa presente invención consiste en una cama semiautomática medidora para esterilización de animales y su proceso de utilización, la cual cuenta con una cama que puede medir el peso y la temperatura de forma automática mediante sensores, arrojando la cantidad exacta de anestesia a utilizar en el proceso de esterilización. Además, cuenta con sensores de oxigenación y ritmo cardiaco para monitorear los signos vitales del animal y reportarlos en una pantalla táctil que cuenta con leds y sonido que se activan como alerta en caso de que estos signos se encuentren cerca de los parámetros – altos o bajo – fijados según la epecie, raza y genero del animal a esterilizar. La cama esta provista de pasos a seguir para su correcta y eficiente utilización, además de estar diseñada como una unidad desplegable para trabajo en campo y ser trasladada fácilmente.1 30 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 22 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 2 21Scopus© Citations 8 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Dynamic Jamming Mitigation in Wireless Sensor Networks: A Comprehensive Algorithm for Resilience and Efficiency(Springer Nature Switzerland, 2025-11-18); ; ;Yehoshua Aguilar-Molina24 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Mass Flow Control Strategy for Maximum Energy Extraction in Thermal Energy Storage Tanks(ASME International, 2024-11-28); ; <jats:title>Abstract</jats:title> <jats:p>This paper introduces an experimental approach to enhance thermal energy storage (TES) tank performance by employing a novel control strategy and an automatic flow valve. The valve adjusts mass flow to minimize heat loss and maximize useful heat within a specified input–output temperature range. Experiments were conducted indoors, simulating input heat via an electric heating element, and adhering to ANSI/ASHRAE 93-2010 standards. In the proposed control strategy, the set point is self-regulated based on an input value which in this case is the heat introduced into the TES system. In this way, when there is more input heat available, the mass flow will increase to obtain more useful heat at the output and, on the contrary, when there is less heat available, the mass flow will be reduced to obtain greater exergy. A comparison between this strategy and conventional on–off control systems was conducted, evaluating their performance based on useful heat obtained over an 8-h period with varying input heat levels. Results demonstrate that the proposed flow control methodology consistently outperforms on–off control, achieving a maximum 13.56% increase in useful heat under optimal conditions. This underscores the effectiveness of the novel control strategy in maximizing thermal energy storage tank efficiency.</jats:p>39Scopus© Citations 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Energy Recycling Laboratory Experimental Test Bench for Three-Phase FACTS Devices Prototypes(2019) ;Jesus E. Valdez-Resendiz ;Mayo Maldonado, Jonathan; ; Armando Llamas-TerresScopus© Citations 1 2 17 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A transformer-based method for radio-frequency fingerprinting of IoT devices(Elsevier BV, 2026-04); ; ; ;Bazdresch, MiguelMex-Perera, CarlosScopus© Citations 2 21 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Stochastic Characterization of MAC-Level Reliability and Reassociation Dynamics in IEEE 802.15.4 Networks for Smart Grid Applications(MDPI AG, 2026-04-14); ; ; ;Botero-Valencia, Juan SebastiánWireless communication networks based on IEEE 802.15.4 and ZigBee PRO constitute a critical component of smart grid infrastructures, where reliability and availability requirements exceed those typically assumed in low-power wireless deployments. Despite extensive analytical modeling, most existing studies rely on independence assumptions for packet errors and simplified abstractions of reassociation dynamics. This work presents stochastic reliability characterization grounded on real MAC-layer traffic capture from an operational IEEE 802.15.4/ZigBee PRO network. The methodology combines statistical hypothesis testing, first-order Markov modeling, spectral-gap analysis, large-deviation theory, renewal processes, and survival analysis of realignment intervals. Empirical results reject the hypothesis of independent frame errors and demonstrate significant temporal dependence with geometric mixing behavior. The estimated transition structure reveals burst-error persistence, inflating long-run variance relative to memoryless models. Furthermore, coordinator realignment intervals deviate from exponential behavior, exhibiting non-constant event rates consistent with regenerative dynamics. These findings indicate that effective communication reliability is governed not only by average frame error probability but also by dependence structure and regeneration mechanisms. The proposed probabilistic framework provides a rigorous and reproducible methodology for dependence-aware reliability assessment in smart grid communication systems.20 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Unveiling wearables: exploring the global landscape of biometric applications and vital signs and behavioral impact(2024); ;Briseño, Ramon A.; Juan Arturo Nolazco-Flores<jats:title>Abstract</jats:title><jats:p>The development of neuroscientific techniques enabling the recording of brain and peripheral nervous system activity has fueled research in cognitive science. Recent technological advancements offer new possibilities for inducing behavioral change, particularly through cost-effective Internet-based interventions. However, limitations in laboratory equipment volume have hindered the generalization of results to real-life contexts. The advent of Internet of Things (IoT) devices, such as wearables, equipped with sensors and microchips, has ushered in a new era in behavior change techniques. Wearables, including smartwatches, electronic tattoos, and more, are poised for massive adoption, with an expected annual growth rate of 55% over the next five years. These devices enable personalized instructions, leading to increased productivity and efficiency, particularly in industrial production. Additionally, the healthcare sector has seen a significant demand for wearables, with over 80% of global consumers willing to use them for health monitoring. This research explores the primary biometric applications of wearables and their impact on users’ well-being, focusing on the integration of behavior change techniques facilitated by IoT devices. Wearables have revolutionized health monitoring by providing real-time feedback, personalized interventions, and gamification. They encourage positive behavior changes by delivering immediate feedback, tailored recommendations, and gamified experiences, leading to sustained improvements in health. Furthermore, wearables seamlessly integrate with digital platforms, enhancing their impact through social support and connectivity. However, privacy and data security concerns must be addressed to maintain users’ trust. As technology continues to advance, the refinement of IoT devices’ design and functionality is crucial for promoting behavior change and improving health outcomes. This study aims to investigate the effects of behavior change techniques facilitated by wearables on individuals’ health outcomes and the role of wearables in promoting a healthier lifestyle.</jats:p>16Scopus© Citations 25
