Bibliografías temáticas / LR-FHSS

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Literatura académica sobre el tema "LR-FHSS"

Autor: Grafiati
Publicado: 15 de febrero de 2025

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Artículos de revistas sobre el tema "LR-FHSS"

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Sanchez-Vital, Roger, Lluís Casals, Bartomeu Heer-Salva, Rafael Vidal, Carles Gomez, and Eduard Garcia-Villegas. "Energy Performance of LR-FHSS: Analysis and Evaluation." Sensors 24, no. 17 (2024): 5770. http://dx.doi.org/10.3390/s24175770.

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Long-range frequency hopping spread spectrum (LR-FHSS) is a pivotal advancement in the LoRaWAN protocol that is designed to enhance the network’s capacity and robustness, particularly in densely populated environments. Although energy consumption is paramount in LoRaWAN-based end devices, this is the first study in the literature, to our knowledge, that models the impact of this novel mechanism on energy consumption. In this article, we provide a comprehensive energy consumption analytical model of LR-FHSS, focusing on three critical metrics: average current consumption, battery lifetime, and
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Boquet, Guillem, Pere Tuset-Peiro, Ferran Adelantado, Thomas Watteyne, and Xavier Vilajosana. "LR-FHSS: Overview and Performance Analysis." IEEE Communications Magazine 59, no. 3 (2021): 30–36. http://dx.doi.org/10.1109/mcom.001.2000627.

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Ullah, Muhammad Asad, Konstantin Mikhaylov, and Hirley Alves. "Analysis and Simulation of LoRaWAN LR-FHSS for Direct-to-Satellite Scenario." IEEE Wireless Communications Letters 11, no. 3 (2022): 548–52. http://dx.doi.org/10.1109/lwc.2021.3135984.

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Maldonado, Diego, Leonardo S. Cardoso, Juan A. Fraire, et al. "Enhanced LR-FHSS receiver for headerless frame recovery in space–terrestrial integrated IoT networks." Computer Networks 257 (February 2025): 111018. https://doi.org/10.1016/j.comnet.2024.111018.

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Castro-Carrera, Alejandro. "A systematic review of LEO satellite services for IoT." Multidisciplinary Reviews 8, no. 3 (2024): 2025083. http://dx.doi.org/10.31893/multirev.2025083.

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The term "Industry 4.0," or the "fourth industrial revolution," is used to describe a period of significant technological advancement within the manufacturing sector. This revolution is characterized by the integration of advanced technologies, including artificial intelligence, robotics, augmented reality, additive manufacturing, the Internet of Things (IoT), big data, and cybersecurity, into the manufacturing processes. In this context, the IoT plays a pivotal role in the collection and transmission of data in real-time, thereby facilitating informed decision-making and process optimization.
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6

Bukhari, Jumana, and Zhenghao Zhang. "Understanding Long Range-Frequency Hopping Spread Spectrum (LR-FHSS) with Real-World Packet Traces." ACM Transactions on Sensor Networks, September 5, 2024. http://dx.doi.org/10.1145/3694971.

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Long Range-Frequency Hopping Spread Spectrum (LR-FHSS) is a new physical layer option that has been recently added to the LoRa family with the promise of achieving much higher network capacity than the previous versions of LoRa. In this paper, we present our evaluation of LR-FHSS based on real-world packet traces collected with an LR-FHSS device and a receiver we designed and implemented in software. We overcame challenges due to the lack of documentations of LR-FHSS and our study is the first of its kind that processes signals transmitted by an actual LR-FHSS device with practical issues such
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Knop, Diogo Nogueira, João Luiz Rebelatto, and Richard Demo Souza. "LR-FHSS with Network-Coded Header Replication." IEEE Transactions on Vehicular Technology, 2024, 1–5. http://dx.doi.org/10.1109/tvt.2024.3350635.

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Maleki, Alireza, Ha H. Nguyen, Ebrahim Bedeer, and Robert Barton. "Outage Probability Analysis of LR-FHSS and D2D-aided LR-FHSS Protocols in Shadowed-Rice Fading Direct-to-Satellite IoT Networks." IEEE Internet of Things Journal, 2023, 1. http://dx.doi.org/10.1109/jiot.2023.3329361.

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Sant’Ana, Jean Michel de Souza, Osvaldo da Silva Neto, Arliones Hoeller, João Luiz Rebelatto, Richard Demo Souza, and Hirley Alves. "Asynchronous Contention Resolution-Aided ALOHA in LR-FHSS Networks." IEEE Internet of Things Journal, 2024, 1. http://dx.doi.org/10.1109/jiot.2024.3355709.

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Maleki, Alireza, Ha H. Nguyen, and Robert Barton. "Outage Probability Analysis of LR-FHSS in Satellite IoT Networks." IEEE Communications Letters, 2022, 1. http://dx.doi.org/10.1109/lcomm.2022.3233524.

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Tesis sobre el tema "LR-FHSS"

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Tran, Van Lic. "Développement de techniques radio cognitives pour les communications LP-WAN terrestres et satellites." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ4048.

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Cette recherche se concentre sur l'amélioration des communications des réseaux à large bande basse consommation (LP-WAN) en utilisant des technologies de radio cognitive. Plus précisément, elle aborde le défi de la localisation du réseau en utilisant l'indicateur de force du signal reçu (RSSI) des réseaux LoRa, ainsi que l'algorithme ML-MTL proposé, pour améliorer la précision de l'estimation de la position des dispositifs finaux. De plus, cette étude explore l'estimation et l'extension de la couverture LoRaWAN. En ce qui concerne l'estimation de la couverture, elle démontre que la collecte de
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Actas de conferencias sobre el tema "LR-FHSS"

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Maleki, Alireza, Ebrahim Bedeer, and Robert Barton. "Performance Evaluation and Low-Complexity Detection of the PHY Modulation of LR-FHSS Transmission in IoT Networks." In 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring). IEEE, 2024. http://dx.doi.org/10.1109/vtc2024-spring62846.2024.10683565.

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de Souza Sant’Ana, Jean Michel, Arliones Hoeller, Hirley Alves, and Richard Demo Souza. "LR-FHSS-Sim: A Discrete-Event Simulator for LR-FHSS Networks." In 2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit). IEEE, 2024. http://dx.doi.org/10.1109/eucnc/6gsummit60053.2024.10597000.

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Ben Temim, Mohamed Amine, Guillaume Ferré, and Olivier Seller. "An LR-FHSS Receiver for a Massive IoT Connectivity." In 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2023. http://dx.doi.org/10.1109/pimrc56721.2023.10293878.

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Zhang, Fanhao, Fu Yu, Xiaolong Zheng, Liang Liu, and Huadong Ma. "DFH: Improving the Reliability of LR-FHSS via Dynamic Frequency Hopping." In 2023 IEEE 31st International Conference on Network Protocols (ICNP). IEEE, 2023. http://dx.doi.org/10.1109/icnp59255.2023.10355600.

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