Literatura académica sobre el tema "Wi-Fi HaLow"

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Artículos de revistas sobre el tema "Wi-Fi HaLow"

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Kane, Luke, Vicky Liu, Matthew McKague y Geoffrey Walker. "An Experimental Field Comparison of Wi-Fi HaLow and LoRa for the Smart Grid". Sensors 23, n.º 17 (25 de agosto de 2023): 7409. http://dx.doi.org/10.3390/s23177409.

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IEEE 802.11ah, or Wi-Fi HaLow, is a long-range Internet of Things (IoT) communication technology with promising performance claims. Being IP-based makes it an attractive prospect when interfacing with existing IP networks. Through real-world performance experiments, this study evaluates the network performance of Wi-Fi HaLow in terms of throughput, latency, and reliability against IEEE 802.11n (Wi-Fi n) and a competing IoT technology LoRa. These experiments are enabled through three proposed network evaluation architectures that facilitate remote control of the devices in a secure manner. The performance of Wi-Fi HaLow is then assessed against the network requirements of various smart grid applications. Wi-Fi HaLow offers promising performance when compared to rival technology LoRa. This study is the first to evaluate Wi-Fi HaLow in an authentic experimental way, providing performance data and insights that are not possible through simulation and modelling alone. This work provides the basis for further evaluation and implementation of this emerging technology.
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Bankov, Dmitry, Evgeny Khorov, Andrey Lyakhov, Ekaterina Stepanova, Le Tian y Jeroen Famaey. "What Is the Fastest Way to Connect Stations to a Wi-Fi HaLow Network?" Sensors 18, n.º 9 (21 de agosto de 2018): 2744. http://dx.doi.org/10.3390/s18092744.

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Wi-Fi HaLow is an adaptation of the widespread Wi-Fi technology for the Internet of Things scenarios. Such scenarios often involve numerous wireless stations connected to a shared channel, and contention for the channel significantly affects the performance in such networks. Wi-Fi HaLow contains numerous solutions aimed at handling the contention between stations, two of which, namely, the Centralized Authentication Control (CAC) and the Distributed Authentication Control (DAC), address the contention reduction during the link set-up process. The link set-up process is special because the access point knows nothing of the connecting stations and its means of control of these stations are very limited. While DAC is self-adaptive, CAC does require an algorithm to dynamically control its parameters. Being just a framework, the Wi-Fi HaLow standard neither specifies such an algorithm nor recommends which protocol, CAC or DAC, is more suitable in a given situation. In this paper, we solve both issues by developing a novel robust close-to-optimal algorithm for CAC and compare CAC and DAC in a vast set of experiments.
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Maudet, Sébastien, Guillaume Andrieux, Romain Chevillon y Jean-François Diouris. "Practical evaluation of Wi-Fi HaLow performance". Internet of Things 24 (diciembre de 2023): 100957. http://dx.doi.org/10.1016/j.iot.2023.100957.

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Faydhe, Fatima, Majida Saud Ibrahim y Kamal Y. Kamal. "HaLow Wi-Fi performance in multiusers and channels environment with MATLAB Simulink". International Journal of Communication Networks and Information Security (IJCNIS) 15, n.º 1 (26 de mayo de 2023): 01–11. http://dx.doi.org/10.17762/ijcnis.v15i1.5487.

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HaLow Wi-Fi (IEEE 802.11ah) wireless networking standard. As opposed to 2.4 GHz and 5 GHz-based conventional Wi-Fi networks, it leverages 900 MHz frequencies license-exempt for enabling networks Wi-Fi with a longer range. Lower energy usage makes it possible to build extensive networks of sensors or stations that work together to communicate signals, which is another advantage. In this paper IEEE 802.11ah Wi-Fi system design and implemented using MATLAB Simulink and tested under multiusers and channels environment in terms of Spectrum analyzer and constellation Diagram where 4 users, 2 MHz and 4 MHz channels bandwidth used to perfume the test also power of coarse synchronization, fine synchronization and initial channel estimation, to make Wi-Fi networks with a greater range possible were illustrated in space time stream.
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Šafer, Robert y Željen Trpovski. "ARTS test okruženje za M2B Wi-Fi HaLow™". Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 34, n.º 03 (25 de febrero de 2019): 490–93. http://dx.doi.org/10.24867/02be08safer.

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Pejić, Vladislav. "FUNKCIONALNO TESTIRANJE WIFI HALOW™ MAC SOFTVER STEKA KORISTEĆI VIRTUAL SYSTEM PLATFORM". Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 34, n.º 01 (20 de diciembre de 2018): 93–96. http://dx.doi.org/10.24867/01be27pejic.

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Bankov, Dmitry, Evgeny Khorov, Andrey Lyakhov y Jeroen Famaey. "Resource Allocation for Machine-Type Communication of Energy-Harvesting Devices in Wi-Fi HaLow Networks". Sensors 20, n.º 9 (25 de abril de 2020): 2449. http://dx.doi.org/10.3390/s20092449.

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The recent Wi-Fi HaLow technology focuses on adopting Wi-Fi for the needs of the Internet of Things. A key feature of Wi-Fi HaLow is the Restricted Access Window (RAW) mechanism that allows an access point to divide the sensors into groups and to assign each group to an exclusively reserved time interval where only the stations of a particular group can transmit. In this work, we study how to optimally configure RAW in a scenario with a high number of energy harvesting sensor devices. For such a scenario, we consider a problem of device grouping and develop a model of data transmission, which takes into account the peculiarities of channel access and the fact that the devices can run out of energy within the allocated intervals. We show how to use the developed model in order to determine the optimal duration of RAW intervals and the optimal number of groups that provide the required probability of data delivery and minimize the amount of consumed channel resources. The numerical results show that the optimal RAW configuration can reduce the amount of consumed channel resources by almost 50%.
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Aleksandrovs-Moisejs, Daniils, Aleksandrs Ipatovs, Elans Grabs y Dmitrijs Rjazanovs. "Evaluation of a Long-Distance IEEE 802.11ah Wireless Technology in Linux Using Docker Containers". Elektronika ir Elektrotechnika 28, n.º 3 (28 de junio de 2022): 71–77. http://dx.doi.org/10.5755/j02.eie.31146.

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Wireless technologies are essential for modern people to maintain uninterrupted connection to the Internet. The most popular standards for wireless technologies are standards of the IEEE 802.11 family. Currently, data transmission rate achievable by IEEE 802.11ac or 802.11ax standards can reach up to 10 Gbit/s. Different IEEE standards have specific data transmission rates. For example, the IEEE 802.11ah standard or Wi-Fi HaLow (code name) operates in the 900 MHz band, which is an unlicensed frequency band below 1 GHz, and is called the “Sub-1-GHz” range. In theory, this standard can provide coverage range of up to 543 meters indoors and data transfer rate of up to 347 Mbit/s (using a maximum of four spatial streams and 16 MHz channel bandwidth). The great benefit of the 802.11ah standard is low energy consumption, which enables communication between devices from the Internet of Things (IoT) over long distances without using a lot of energy. The Wi-Fi HaLow standard is being studied by the authors of the presented article in the ns-3 network simulation program with the 802.11ah module installed and implemented in Docker containers, VirtualBox Virtual Machines (VMs) with a running Linux operating system. During the simulations, results were obtained for the Docker containers simulation with a limited number of stations over different simulation times. These results have been studied in different scenarios. In the scenarios, the results of the Wi-Fi HaLow network simulation were converted into another simulation time, and thus were compared with each other.
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Bankov, Dmitry, Evgeny Khorov, Katarzyna Kosek-Szott y Marcin Trebunia. "Super Fast Link Set-Up in Wi-Fi HaLow Networks". IEEE Communications Letters 24, n.º 10 (octubre de 2020): 2305–8. http://dx.doi.org/10.1109/lcomm.2020.3001179.

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Khorov, E. M., A. I. Lyakhov, I. A. Nasedkin y R. R. Yusupov. "Emergency Alert Delivery in a Heterogeneous Wi-Fi HaLow Network". Journal of Communications Technology and Electronics 64, n.º 12 (diciembre de 2019): 1517–22. http://dx.doi.org/10.1134/s1064226919120106.

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Tesis sobre el tema "Wi-Fi HaLow"

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Maudet, Sébastien. "Analyse et modélisation énergétiques des réseaux de communications pour l’IoT". Electronic Thesis or Diss., Nantes Université, 2024. http://www.theses.fr/2024NANU4002.

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L’IoT est un concept innovant qui permet à des objets d’échanger des informations à travers des réseaux de communications. Ces objets sont généralement déployés avec des ressources énergétiques limitées et les protocoles de communications pour l’IoT doivent tenir compte de ces contraintes. Dans cette thèse, nous avons analysé et modélisé la consommation énergétique de deux des protocoles de communication les plus en vue de l’IoT. Dans un premier temps, nous nous sommes intéressés au Wi-Fi HaLow. Après une présentation descriptive de ce protocole et de ses mécanismes, ses performances ont été étudiées et qualifiées. Des campagnes de mesures ont montré son bon comportement en termes de portée, de débit et de latence. L’analyse du protocole ainsi que des mesures de l’énergie consommée sur du matériel ont permis d’établir un premier modèle de consommation. Ce dernier tient compte des échanges nécessaires à l’établissement d’une communication. Le modèle a ensuite été affiné pour obtenir une modélisation basée sur une chaîne de Markov absorbante qui prend en compte l’environnement et la densité du réseau. Cette étude permet de valider l’utilisation de cette technologie dans différents domaines de l’IoT. Dans un second temps, nous nous sommes intéressés au protocole LoRaWAN. Des mesures de l’énergie consommée sur du matériel ont permis de proposer un nouveau modèle de consommation énergétique qui prend en compte l’environnement du nœud (retransmissions, erreurs et collisions). Finalement, une comparaison des métriques et de la consommation énergétique de ces deux protocoles a été réalisée, afin d’ouvrir une discussion sur les perspectives d’utilisation selon des cas d’usage
IoT is an innovative concept that enables objects to exchange data over communications networks. These objects are typically deployed with limited energy resources, and IoT communication protocols must take these constraints into account. In this thesis, we analyzed and modeled the energy consumption of two of the most prominent IoT communication protocols. First, we focused on Wi-Fi HaLow. After a descriptive presentation of this protocol and its mechanisms, performance was studied and characterized. Measurement campaigns showed that it performs well in terms of range, throughput and latency. Analysis of the protocol and measurements of the energy consumed on hardware have enabled us to establish an initial consumption model. This takes into account the exchanges required to establish a communication. The model was then refined to obtain a model based on an absorbing Markov chain that takes into account the environment and network density. This study validates the use of this technology in various IoT domains.We then turned our attention to the LoRaWAN protocol. Measurements of the energy consumed on hardware enabled us to propose a new energy consumption model that takes into account the node’s environment (retransmissions, errors and collisions). Finally, a comparison of the metrics and energy consumption of these two protocols was carried out, in order to open a discussion on the prospects for use cases
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Capítulos de libros sobre el tema "Wi-Fi HaLow"

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Mahesh, M. y V. P. Harigovindan. "Machine Learning-Based Optimal Wi-Fi HaLow Standard for Dense IoT Networks". En Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems, 41–58. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003107477-3.

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HADDADOU, Kamel y Guy PUJOLLE. "Cloud et Edge Networking dans l’IoT". En Cloud et Edge Networking, 165–89. ISTE Group, 2024. http://dx.doi.org/10.51926/iste.9128.ch10.

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Ce chapitre s’intéresse à l’Edge et au Cloud Networking dans l’Internet des objets. Il décrit les solutions à la fois réseau et traitement provenant des réseaux longue portée puis des réseaux personnels, des réseaux locaux, en particulier avec la nouvelle génération Halow de réseau Wi-Fi pour les objets et enfin, les solutions provenant des opérateurs de télécommunications.
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Parmar, Ghanshyam y Monika Patel. "LoRa". En Advances in Electronic Government, Digital Divide, and Regional Development, 142–68. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-9710-1.ch008.

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The main concern of this chapter is to getting information regarding the controlling of streetlights using the IoT technology and the help of LoRa technology. LoRa is a novel wireless protocol designed for long range with low power consumption for communication. This chapter provides, firstly, why energy consumption should be reduced. The chapter explains IoT and how the IoT industries are coming up with new technologies. The chapter contains different technologies with basic information and pros can cons, including Wi-Fi HaLow, Bluetooth and (BLE), LPWANs, Cellular (3G/4G/5G), Zigbee and other Mesh protocols, and RFID. Further, the chapter describes the features of LoRa and LoRaWAN with its architecture. Why the LoRa technology is the best for controlling streetlights with its working is explained. The main focus of this chapter is the devices used in smart streetlights and how to control the streetlight. The chapter describes the working procedure of streetlight management through IoT and LoRa technique.
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Actas de conferencias sobre el tema "Wi-Fi HaLow"

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Bankov, Dmitry, Evgeny Khorov, Andrey Lyakhov y Ekaterina Stepanova. "Fast centralized authentication in Wi-Fi HaLow networks". En ICC 2017 - 2017 IEEE International Conference on Communications. IEEE, 2017. http://dx.doi.org/10.1109/icc.2017.7996510.

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Taramit, Hamid, Luis Orozco Barbosa y Abdelkrim Haqiq. "Adaptive Channel Allocation for Wi-Fi HaLow Networks". En 2022 IEEE Conference on Standards for Communications and Networking (CSCN). IEEE, 2022. http://dx.doi.org/10.1109/cscn57023.2022.10051003.

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Khan, Muhammad Faizan, Guojun Wang, Md Zakirul Alam Bhuiyan y Tao Peng. "Wi-Fi Halow Signal Coverage Estimation in Collapsed Structures". En 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech). IEEE, 2018. http://dx.doi.org/10.1109/dasc/picom/datacom/cyberscitec.2018.00113.

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Ahmed, Nurzaman, Flavio Esposito, Okwudilichukwu Okafor y Nadia Shakoor. "SoftFarmNet: Reconfigurable Wi-Fi HaLow Networks for Precision Agriculture". En 2023 IEEE 12th International Conference on Cloud Networking (CloudNet). IEEE, 2023. http://dx.doi.org/10.1109/cloudnet59005.2023.10490078.

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Qiao, Lei, Zhe Zheng, Wenpeng Cui y Liang Wang. "A Survey on Wi-Fi HaLow Technology for Internet of Things". En 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2018. http://dx.doi.org/10.1109/ei2.2018.8582141.

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Khorov, Evgeny, Andrey Lyakhov, Ivan Nasedkin y Ruslan Yusupov. "Poster: fast and reliable alert delivery in Wi-Fi HaLow sensor networks". En 2019 IFIP Networking Conference (IFIP Networking). IEEE, 2019. http://dx.doi.org/10.23919/ifipnetworking46909.2019.8999405.

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Verhoeven, Richard, Stash Kempinski y Nirvana Meratnia. "Performance Evaluation of Wi-Fi HaLow, NB-IoT and LoRa for Smart City Applications". En MSWiM '22: Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3551663.3558596.

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Surendra Raju, M., Aman Shrestha, Andrew Terry, Eyal Mendel, Jaric Thorning, Julius Baxter, Mohammed Mohammed, Neil Weste, Rama Kishore Chikkam y Yingbo Zhu. "Wi-Fi HaLow Internet of Things System on Chip (SoC) in Sub-1 GHz". En 2023 22nd International Symposium on Communications and Information Technologies (ISCIT). IEEE, 2023. http://dx.doi.org/10.1109/iscit57293.2023.10376041.

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Wang, Yanru, Kok Keong Chai, Yue Chen, John Schormans y Jonathan Loo. "Energy-aware Restricted Access Window control with retransmission scheme for IEEE 802.11ah (Wi-Fi HaLow) based networks". En 2017 13th Annual Conference on Wireless On-demand Network Systems and Services (WONS). IEEE, 2017. http://dx.doi.org/10.1109/wons.2017.7888774.

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Enriko, I. Ketut Agung y Fikri Nizar Gustiyana. "Wi-Fi HaLow: Literature Review About Potential Use Of Technology In Agriculture And Smart Cities in Indonesia". En 2024 International Conference on Green Energy, Computing and Sustainable Technology (GECOST). IEEE, 2024. http://dx.doi.org/10.1109/gecost60902.2024.10474936.

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