Practical Analysis of IEEE 802.11n 2.4 GHz Communication Quality in the Context of IoT Devices Operating in an Area Shared with Modern Wi-Fi 6 and Wi-Fi 7 Networks
Aug 2026· Italian National Conference on Sensors· Vol 26· 0 citations· 34 references
Medicine
TL;DR
The results presented and discussed herein show that the presence of 802.11ax and 802.11be networks in the 2.4 GHz band can significantly degrade the temporal parameters of MQTT transmissions performed by IoT devices operating in the older 802.11n standard.
Abstract
This article presents an experimental evaluation of the data-transmission performance of an IoT device communicating with an MQTT broker over a local IEEE 802.11n Wi-Fi network in the 2.4 GHz band, coexisting with modern Wi-Fi networks based on the IEEE 802.11ax (Wi-Fi 6) and IEEE 802.11be (Wi-Fi 7) standards. The effect of sharing the radio medium on the communication quality parameters of the IoT device, such as end-to-end delay, jitter, the packet delivery ratio (PDR), and application throughput (goodput), was assessed. Unlike previous work, which focuses primarily on PHY/MAC metrics or on simulation-based analysis, this study targets the application layer (MQTT) from the perspective of a legacy IoT end-device. The results presented and discussed herein show that the presence of 802.11ax and 802.11be networks in the 2.4 GHz band can significantly degrade the temporal parameters of MQTT transmissions performed by IoT devices operating in the older 802.11n standard. The greatest impact is observed in jitter and in the extreme delay values (for instance, in the worst-case coexistence scenario—with simultaneous Wi-Fi 6 and Wi-Fi 7 interference, the P95 delay increased from 38 to 869 ms), whereas the PDR remains relatively high because retransmissions compensate for packet losses at the expense of delay.
Energy efficiency has become a key challenge in modern IEEE 802.11 Wi-Fi systems, making accurate energy modeling is essential for realistic network simulation and evaluation. This paper revisits the ns-3 Wi-Fi energy model using high-resolution current measurements collected from IEEE 802.11ac/ax devices. Experimental...
Aya Shehata, F. Lemercier, Anne-Cécile Orgerie· Proceedings of the 2026 Inte...· 0 citations
The emergence of wireless systems with numerous terminals, such as Internet of Things (IoT) deployments, Smart Home Systems, and enterprise Wi-Fi networks, requires efficient channel access mechanisms. However, existing methods in IEEE 802.11ax standard (Wi-Fi 6) face performance issues under practical non-saturated tr...
A. Eliwa, Mohamed Yasin I. Afifi, I. Tarrad et al.· International journal of Com...· 0 citations
The growing adoption of Internet of Things (IoT) applications has increased the demand for resilient and scalable wireless networks, especially in environments where wired infrastructure is limited. This work presents the experimental evaluation of a Wi-Fi mesh network based on the ESP32-C6 microcontroller and the ESP-...
Graziele de Cássia Rodrigues, Marcelo Moreira Tiago, Theo Lins et al.· 2026 10th International Symp...· 0 citations
Short-range, high-density sensor networks are challenged by poor transmission performance in power safety monitoring applications because they use a single communication protocol. The paper suggests a multi-protocol fusion short-range IoT communication system. It combines Wi-Fi, Bluetooth, and ZigBee protocols through...
Hao Xiang, Jin-Hui Zhao, Tao He et al.· International Workshop on Ar...· 0 citations
This paper presents a triple-band Wi-Fi 7 (IEEE 802.11be) transceiver with dual independent LO generators, optimized for low-power IoT applications. Fabricated in 22-nm ultra-low-leakage (uLL) CMOS with a compact RF core area of 4.35 mm2, the design features dedicated RF chains including cascode power amplifiers (PAs),...
Pei-Si Wu, Yi-Chin Tsou, Pang-Ning Chen et al.· International Symposium on R...· 0 citations
This tutorial surveys the recent progress made toward Wi-Fi 9 within IEEE 802.11 standardization, tracing the drivers and technological advances that motivate an AI-ready Wi-Fi 9 and explores a potential extension of the current Enhanced Distributed Channel Access (EDCA) to support new AI traffic flows.
F. Wilhelmi, Katarzyna Kosek-Szott, S. Szott et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.