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    Item type:Publication,
    Dynamic Jamming Mitigation in Wireless Sensor Networks: A Comprehensive Algorithm for Resilience and Efficiency
    (Springer Nature Switzerland, 2025-11-18)
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    Yehoshua Aguilar-Molina
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    An Energy Model Using Sleeping Algorithms for Wireless Sensor Networks under Proactive and Reactive Protocols: A Performance Evaluation
    (2020)
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    Nicola Ivan Giannoccaro
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    Paolo Visconti
    <jats:p>The continuous evolution of the Internet of Things (IoT) makes it possible to connect everyday objects to networks in order to monitor physical and environmental conditions, which is made possible due to wireless sensor networks (WSN) that enable the transfer of data. However, it has also brought about many challenges that need to be addressed, such as excess energy consumption. Accordingly, this paper presents and analyzes wireless network energy models using five different communication protocols: Ad Hoc On-Demand Distance Vector (AODV), Multi-Parent Hierarchical (MPH), Dynamic Source Routing (DSR), Low Energy Adaptive Clustering Hierarchy (LEACH) and Zigbee Tree Routing (ZTR). First, a series of metrics are defined to establish a comparison and determine which protocol exhibits the best energy consumption performance. Then, simulations are performed and the results are compared with real scenarios. The energy analysis is conducted with three proposed sleeping algorithms: Modified Sleeping Crown (MSC), Timer Sleeping Algorithm (TSA), and Local Energy Information (LEI). Thereafter, the proposed algorithms are compared by virtue of two widely used wireless technologies, namely Zigbee and WiFi. Indeed, the results suggest that Zigbee has a better energy performance than WiFi, but less redundancy in the topology links, and this study favors the analysis with the simulation of protocols with different nature. The tested scenario is implemented into a university campus to show a real network running.</jats:p>
    Scopus© Citations 19  12  1
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    Channel Characterization and SC-FDM Modulation for PLC in High-Voltage Power Lines
    (2022)
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    José Luis Naredo
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    Fernando Peña-Campos
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    <jats:p>Digital communication over power lines is an active field of research and most studies in this field focus on low-voltage (LV) and medium-voltage (MV) power systems. Nevertheless, as power companies are starting to provide communication services and as smart-grid technologies are being incorporated into power networks, high-voltage (HV) power-line communication has become attractive. The main constraint of conventional HV power-line carrier (PLC) systems is their unfeasibility for being migrated to wideband channels, even with a high signal-to-noise ratio (SNR). In this scenario, none of the current linear/non-linear equalizers used in single carrier schemes achieve the complete compensation of the highly dispersive conditions, which limits their operation to 4 kHz channels. In this paper, a new PLC-channel model is introduced for transmission lines incorporating the effects of the coupling equipment. In addition, the use of the single-carrier frequency-division modulation (SC-FDM) is proposed as a solution to operate PLC systems in a wide bandwidth, achieving transmission speeds above those of the conventional PLC system. The results presented in this paper demonstrate the superior performance of the SC-FDM-PLC over conventional PLC systems, obtaining a higher transmission capacity in 10 to 30 times.</jats:p>
    Scopus© Citations 2  36  1
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    Unveiling wearables: exploring the global landscape of biometric applications and vital signs and behavioral impact
    (2024)
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    Ramon A. Briseño
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    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>
    Scopus© Citations 1  32
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    Item type:Patent,
    Cama semiautomática medidora para esterilización de animales
    (IMPI, 2022-12-13)
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    Rosa Sierra, Luis Alberto
    La 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.
      26  1
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    RF Fingerprinting of IoT Multi-Modulation Wireless Devices
    (2024)
    Herrera Loera Carlos
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    Miguel Bazdresch
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    Carlos Mex-Perera
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    Energy Recycling Laboratory Experimental Test Bench for Three-Phase FACTS Devices Prototypes
    (2019)
    Jesus E. Valdez-Resendiz
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    Mayo Maldonado, Jonathan
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    Armando Llamas-Terres
    Scopus© Citations 1  33  2
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      30  1
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    Item type:Publication,
    Energy-efficiency Model for a Smart Building: A Real Application
    (2020)
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    Claudia L. Garzon-Castro
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    Scopus© Citations 3  9  2