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Artykuły w czasopismach na temat „Wi-Fi HaLow”

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Autor: Grafiati

Data publikacji: 27 lipca 2024

Data aktualizacji: 28 lipca 2024

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1

Kane, Luke, Vicky Liu, Matthew McKague i Geoffrey Walker. "An Experimental Field Comparison of Wi-Fi HaLow and LoRa for the Smart Grid". Sensors 23, nr 17 (25.08.2023): 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 i Jeroen Famaey. "What Is the Fastest Way to Connect Stations to a Wi-Fi HaLow Network?" Sensors 18, nr 9 (21.08.2018): 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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3

Maudet, Sébastien, Guillaume Andrieux, Romain Chevillon i Jean-François Diouris. "Practical evaluation of Wi-Fi HaLow performance". Internet of Things 24 (grudzień 2023): 100957. http://dx.doi.org/10.1016/j.iot.2023.100957.

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4

Faydhe, Fatima, Majida Saud Ibrahim i 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, nr 1 (26.05.2023): 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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5

Šafer, Robert, i Željen Trpovski. "ARTS test okruženje za M2B Wi-Fi HaLow™". Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 34, nr 03 (25.02.2019): 490–93. http://dx.doi.org/10.24867/02be08safer.

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6

Pejić, Vladislav. "FUNKCIONALNO TESTIRANJE WIFI HALOW™ MAC SOFTVER STEKA KORISTEĆI VIRTUAL SYSTEM PLATFORM". Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 34, nr 01 (20.12.2018): 93–96. http://dx.doi.org/10.24867/01be27pejic.

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7

Bankov, Dmitry, Evgeny Khorov, Andrey Lyakhov i Jeroen Famaey. "Resource Allocation for Machine-Type Communication of Energy-Harvesting Devices in Wi-Fi HaLow Networks". Sensors 20, nr 9 (25.04.2020): 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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8

Aleksandrovs-Moisejs, Daniils, Aleksandrs Ipatovs, Elans Grabs i Dmitrijs Rjazanovs. "Evaluation of a Long-Distance IEEE 802.11ah Wireless Technology in Linux Using Docker Containers". Elektronika ir Elektrotechnika 28, nr 3 (28.06.2022): 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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9

Bankov, Dmitry, Evgeny Khorov, Katarzyna Kosek-Szott i Marcin Trebunia. "Super Fast Link Set-Up in Wi-Fi HaLow Networks". IEEE Communications Letters 24, nr 10 (październik 2020): 2305–8. http://dx.doi.org/10.1109/lcomm.2020.3001179.

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10

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

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11

Khan, Muhammad Faizan, Guojun Wang, Md Zakirul Alam Bhuiyan i Kun Yang. "Toward Wi-Fi Halow Signal Coverage Modeling in Collapsed Structures". IEEE Internet of Things Journal 7, nr 3 (marzec 2020): 2181–96. http://dx.doi.org/10.1109/jiot.2019.2959123.

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12

Khorov, Evgeny, Andrey Lyakhov, Ivan Nasedkin, Ruslan Yusupov, Jeroen Famaey i Ian F. Akyildiz. "Fast and Reliable Alert Delivery in Mission-Critical Wi-Fi HaLow Sensor Networks". IEEE Access 8 (2020): 14302–13. http://dx.doi.org/10.1109/access.2020.2966147.

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13

Marwan, Abdul Aziz, Doan Perdana i Danu Dwi Sanjoyo. "Performance Analysis of RAW Impact on IEEE 802.11ah Standard affected by Doppler Effect". International Journal of Computers Communications & Control 14, nr 2 (14.04.2019): 212–19. http://dx.doi.org/10.15837/ijccc.2019.2.3315.

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Internet of Things (IOT) offers a new dimension of technology and information where connectivity is available anywhere, anytime, and for any purpose. IEEE 802.11 Wireless Local Area Network group is a standard that developed to answer the needs of wireless communication technology (WI-Fi). Recently, IEEE 802.11 working group released the 802.11ah technology or Wi-Fi HaLow as a Wi-fi standard. This standard works on the 1 GHz frequency band with a broader coverage area, massive device and the energy efficiency issues. This research addresses, the influence of Doppler Effect using Random Waypoint mobility model on 802.11ah with different RAW slot and RAW slot duration are analyzed. The design of the simulation system is done by changing RAW slot and RAW slot duration. Based on the result, it can be concluded that the overall performance of the network with all of the parameter scenarios is decreasing along with the increasing RAW slot, RAW slot duration, and fluctuation. In the RAW slot = 5 scenario with v = 10 km/h has the worst performance with an average delay which is about 0.128225 s, and average throughput is about 0.284337 Mbps while for RAW slot = 1 with an average PDR which is about 99.1076 %. While in the RAW slot duration = 0.020 s scenario with v = 10 km/h has the worst performance with an average delay which is about 0.135581 s, average throughput is about 0.286828 Mbps, and average PDR which is about 99.3165 %.

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14

Jales Duarte, Mychael, Adaildo Gomes D'Assunção Júnior, Valdemir Praxedes da Silva Neto i Adaildo Gomes D'Assunção. "A New Ultraminiaturized Low-profile and Stable FSS with 2.5D Structure for 900 MHz ISM Band". Journal of Communication and Information Systems 38, nr 1 (2023): 9–13. http://dx.doi.org/10.14209/jcis.2023.2.

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This paper presents a new 2.5D ultraminiaturized frequency selective surface (FSS) structure to operate in the 900 MHz ISM band (902 to 928 MHz), for application in the Wi-Fi HaLow. The proposed FSS simulation and design are performed using ANSYS HFSS software and equivalent circuit model (ECM). The development of the proposed 2.5D FSS is based on meander-line-based conducting patches and has required the simulation and design of typical (2D) and 2.5D structures. An equivalent circuit model was proposed and presented very accurate results. For comparison purpose, a prototype is fabricated and measured. Agreement is observed between simulation and measurement results.

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15

Khorov, Evgeny, Alexander Krotov, Andrey Lyakhov, Ruslan Yusupov, Massimo Condoluci, Mischa Dohler i Ian Akyildiz. "Enabling the Internet of Things With Wi-Fi Halow—Performance Evaluation of the Restricted Access Window". IEEE Access 7 (2019): 127402–15. http://dx.doi.org/10.1109/access.2019.2939760.

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16

Astour, Sira W., i Majd Badr Saleh. "Enhancing the Performance of 6LoWPAN-Based Wireless Sensor Networks (WSNs) with IEEE 802.11AH (Wi-Fi HaLow)". Wireless Communications and Mobile Computing 2023 (5.10.2023): 1–15. http://dx.doi.org/10.1155/2023/4915781.

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6LoWPAN allows IEEE 802.15.4 standard-based wireless sensor networks (WSNs) to be connected to the Internet through the Internet protocol IPv6; however, its performance decreases as the network grows in size due to complications such as the bottleneck problem; therefore this paper aims to improve the performance of 6LoWPAN-based WSNs by using the IEEE 802.11AH standard as a backbone in these networks, since this emerging new technology is suitable for IoT applications, as it can provide a coverage range up to 1,000 m and data transmission rates up to 78 Mbps. The IEEE 802.11AH standard can be used as a backbone by utilizing its characteristics to improve some of the performance parameters of the 6LoWPAN networks such as end-to-end delay, frames delivery ratio, and the network throughput. This paper proposes a heterogeneous network infrastructure consisting of 6LoWPAN and the IEEE 802.11AH standard to enable bidirectional data transmission between the network components and the Internet via the Internet protocol IPv6 with two types of gateways, the edge gateways to connect the entire network to the Internet and the intermediate gateways to connect the 6LoWPAN clusters to the edge gateways. The simulation results demonstrate that the heterogeneous network approach can provide significant improvement gains compared to the 6LoWPAN homogeneous networks, since it shows clear improvements to the packets delivery ratio, the end-to-end delay mean value and the network throughput, subsequently leading to a distinct enhancement in the network’s overall reliability.

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17

Tian, Le, Serena Santi, Amina Seferagić, Julong Lan i Jeroen Famaey. "Wi-Fi HaLow for the Internet of Things: An up-to-date survey on IEEE 802.11ah research". Journal of Network and Computer Applications 182 (maj 2021): 103036. http://dx.doi.org/10.1016/j.jnca.2021.103036.

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18

Taramit, Hamid, José Jaime Camacho-Escoto, Javier Gomez, Luis Orozco-Barbosa i Abdelkrim Haqiq. "Accurate Analytical Model and Evaluation of Wi-Fi Halow Based IoT Networks under a Rayleigh-Fading Channel with Capture". Mathematics 10, nr 6 (16.03.2022): 952. http://dx.doi.org/10.3390/math10060952.

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The IEEE 802.11ah standard, marketed as Wi-Fi Halow, introduces a new channel access mechanism called the Restricted Access Window (RAW), aiming to provide connectivity for the Internet of Things (IoT) applications over broad areas. RAW aspires to alleviate the contention by splitting the channel access into periods and allocating each period to a given group of stations. This paper develops an analytical framework based on Probability and Renewal theories for modeling and evaluating an IEEE 802.11ah-based network implementing the RAW mechanism. We consider a Rayleigh-fading channel with the presence of the capture effect: a realistic scenario for IoT networks deployed in dense urban environments. Considering a single-hop scenario of stations randomly distributed around an Access Point (AP) and the power attenuation of transmitted packets, we model the channel access under capture awareness. As the RAW mechanism presents a time-limited contention for channel access, we develop a counting process that tracks transmissions up to the end of the contention time interval. Henceforth, we evaluate the network performance in terms of throughput. We meticulously validate the derived analytical results through extensive campaigns of discrete-event simulations. Our study evaluates the impact of different parameters on the overall performance, including the contention time, the number of stations, the number of groups, and the capture threshold. We henceforth study the impact of the capture effect on enhancing the network performance under the grouping feature introduced by the RAW mechanism. This work contributes to developing an analytical modeling framework to evaluate the performance of time-limited random access mechanisms accurately and can be an excellent basis for proposing practical scheduling algorithms to configure the RAW mechanism under non-ideal channel conditions.

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19

Farhad, Arshad, i Jae-Young Pyun. "Resource Management for Massive Internet of Things in IEEE 802.11ah WLAN: Potentials, Current Solutions, and Open Challenges". Sensors 22, nr 23 (5.12.2022): 9509. http://dx.doi.org/10.3390/s22239509.

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IEEE 802.11ah, known as Wi-Fi HaLow, is envisioned for long-range and low-power communication. It is sub-1 GHz technology designed for massive Internet of Things (IoT) and machine-to-machine devices. It aims to overcome the IoT challenges, such as providing connectivity to massive power-constrained devices distributed over a large geographical area. To accomplish this objective, IEEE 802.11ah introduces several unique physical and medium access control layer (MAC) features. In recent years, the MAC features of IEEE 802.11ah, including restricted access window, authentication (e.g., centralized and distributed) and association, relay and sectorization, target wake-up time, and traffic indication map, have been intensively investigated from various aspects to improve resource allocation and enhance the network performance in terms of device association time, throughput, delay, and energy consumption. This survey paper presents an in-depth assessment and analysis of these MAC features along with current solutions, their potentials, and key challenges, exposing how to use these novel features to meet the rigorous IoT standards.

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20

Zazhigina, Elizaveta, Ruslan Yusupov, Evgeny Khorov i Andrey Lyakhov. "Analytical Study of Periodic Restricted Access Window Mechanism for Short Slots". Electronics 10, nr 5 (26.02.2021): 549. http://dx.doi.org/10.3390/electronics10050549.

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The tremendous number of devices involved in the Internet of Things is bringing new challenges to wireless networking. The more devices that transmit in a wireless network, the higher the contention for the channel. The novel Wi-Fi HaLow standard introduces a new channel access mechanism called the Periodic Restricted Access Window (PRAW), which aims to reduce this contention. With this mechanism, an access point can define a series of time intervals during which only a predefined group of stations can transmit data while the other stations are forbidden to access the channel. Unfortunately, the standard does not suggest how to configure the PRAW mechanism according to scenario-specific requirements and restrictions. Many Internet of Things scenarios require the fast and low energy consumption delivery of measurement data from wireless sensors while saving channel resources for other stations that transmit, for example, multimedia traffic. Therefore, this paper studies the problem of the minimization of the channel timeshare consumed by the PRAW with restrictions on the average delay and power consumption. To solve the problem and configure the PRAW optimally, a novel analytical model is developed. The key feature of the model is the consideration of the case of short PRAW slots that allow the computational complexity to be reduced and high accuracy to be achieved. These properties make the model suitable for implementation in real devices.

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21

Maudet, Sébastien, Guillaume Andrieux, Romain Chevillon i Jean-François Diouris. "Evaluation and Analysis of the Wi-Fi HaLow Energy Consumption". IEEE Internet of Things Journal, 2024, 1. http://dx.doi.org/10.1109/jiot.2024.3401862.

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22

Park, Yeon-Gyu, Eun-Young Chang, Il-Kyoo Lee i Yan-Ming Cheng. "Analysis of Wi-Fi HaLow Device Interference to LTE User Equipment". Journal of Communications, styczeń 2020, 58–64. http://dx.doi.org/10.12720/jcm.15.1.58-64.

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23

Khan, Muhammad Faizan, Guojun Wang, Zhigao Zheng i Xiangyong Liu. "Towards Hybrid Wi-Fi HaLow Radar CSI Coverage Estimation in Collapsed Structures". IEEE Transactions on Consumer Electronics, 2024, 1. http://dx.doi.org/10.1109/tce.2024.3416166.

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24

Ajinegoro, Riski Muktiarto Nugroho, Doan Perdana i Ridha Muldina Negara. "Performance Analysis of Mobility Impact on IEEE 802.11ah Standard with Traffic Pattern Scheme". International Journal of Communication Networks and Information Security (IJCNIS) 10, nr 1 (17.04.2022). http://dx.doi.org/10.17762/ijcnis.v10i1.3212.

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Internet of Things (IOT) offers a new dimension of technology and information where connectivity is available anywhere, anytime, and for any purpose. IEEE 802.11 Wireless Local Area Network group is a standard that developed to answer the needs of wireless communication technology (WI-Fi). Recently, IEEE 802.11 working group released the 802.11ah technology or Wi-Fi HaLow as a Wi-fi standard. This standard works on the 1 GHz frequency band with a broader coverage area, massive device and the energy efficiency issues. This research addresses, the influence of Random Walk, Gauss-Markov, and Random Waypoint mobility model on 802.11ah with different traffic pattern scheme are analyzed. The design of the simulation system is done by changing of node density. Based on the result, it can be concluded that the overall performance of the network with all of the parameter scenarios is decreasing along with increasing the Stations. In the node density scenario, the Random Waypoint mobility model has the best performance with an average delay is about 0.65805 s, throughput is about 0.53811Mbps, PDR is about 96.75%, and energy consumption is about 5.2530 Joule.

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25

Yanru Wang, Kok Keong Chai, Yue Chen i John Schormans. "Energy Efficient Window Control Scheme for IEEE 802.11ah (Wi-Fi HaLow) Based Networks". J. of Electrical Engineering 5, nr 5 (28.09.2017). http://dx.doi.org/10.17265/2328-2223/2017.05.003.

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Marwan, Abdul Aziz, Doan Perdana i Danu Dwi Sanjoyo. "Performance Analysis of User Speed Impact on IEEE 802.11ah Standard affected by Doppler Effect". International Journal of Communication Networks and Information Security (IJCNIS) 10, nr 2 (17.04.2022). http://dx.doi.org/10.17762/ijcnis.v10i2.3334.

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Internet of Things (IOT) offers a new dimension of technology and information where connectivity is available anywhere, anytime, and for any purpose. IEEE 802.11 Wireless Local Area Network group is a standard that developed to answer the needs of wireless communication technology (WI-Fi). Recently, IEEE 802.11 working group released the 802.11ah technology or Wi-Fi HaLow as a Wi-fi standard. This standard works on the 1 GHz frequency band with a broader coverage area, massive device and the energy efficiency issues. This research addresses, the influence of Doppler Effect using Random Waypoint mobility model on 802.11ah with different user speed are analyzed. The design of the simulation system is done by changing user speed and MCS. Based on the result, it can be concluded that the overall performance of the network with all of the parameter scenarios is decreasing along with the increasing user speed, RAW group, and bandwidth. In the user speed scenario, the MCS 5 with RAW group = 2 and bandwidth = 2 MHz in v = 10 km/h scenario has the worst performance with an average delay which is about 0.065463 s, throughput is about 0.328120 Mbps, and PDR is about 99.8901%. Keywords: Restricted Access Window (RAW), IEEE 802.11ah, Random Waypoint, Modulation and Coding Scheme (MCS), Network Simulator 3.

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Prabhu, Sangeetha, i Krishna Prasad K. "Wireless Technology Leading Innovator- A Case Study of Qualcomm". International Journal of Case Studies in Business, IT, and Education, 21.11.2019, 68–78. http://dx.doi.org/10.47992/ijcsbe.2581.6942.0053.

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Qualcomm Company was founded in San Diego, California, in July 1985 by Irwin Jacobs andSeven. Qualcomm is a multinational American corporation which seeks to design, create anddeliver semiconductor devices and facilities to the industry. Qualcomm originates most of itsincome from the companies that produce chips and grant patents. Qualcomm has headquartersin nearly 33 nations, with around 35,400 staff worldwide. Qualcomm's quarterly incomerecorded a 2 percent rise compared to the prior financial process for fiscal year 2018 of US$21.301 billion. Its stocks traded between 51 and 75 dollars per stock; its market capitalism wasassessed at 105 billion dollars at the beginning of 2018. The business places 133rd in revenueamong the biggest US companies in the Fortune 500 ranking. The firm concentrates on avariety of sectors such as car, schooling, health, networking, Internet forall, portabletechnology, intelligent housing, intelligent towns, intelligent home applications, andwearables. Qualcomm products include Gobi, IPQ, Snapdragon, Powerline, VIVE Wi-FiPlatforms, Mirasol, Pixtronix, AllPlay, 2net, Brew, HealthyCircles, QChat, QLearn, RaptorQ,Halo and WiPower. Qualcomm products include all types of Gobi, Hy-fi and IPQ products. Inthe present article, we analyze Qualcomm's business policies by learning different areas ofbackground, economic policy, STEEP evaluation and SWOT analyzes goods.

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