Energy Consumption Modeling for Wi-Fi HaLow Networks
Year: 2025
Type: article
Abstract: Wi-Fi HaLow (IEEE 802.11ah) has emerged as a promising solution which can support Internet of Things (IoT) applications where energy efficiency and extended coverage are important. A key feature of Wi-Fi HaLow is the Target Wake Time (TWT) mechanism, which allows devices to schedule wake-up times, significantly reducing IDLE listening and energy consumption. However, there is currently no energy consumption model, leaving a gap in calculating how much energy a device actually consumes in a real network. This study aims to bridge this gap by developing a forecast model to accurately predict the energy consumption of devices with TWT enabled. The proposed model is then validated through experimental measurements using real Wi-Fi HaLow-compatible devices, ensuring an accurate representation of practical energy consumption. This research provides empirical insights and recommendations for optimizing network configurations in battery-constrained environments. In particular, the proposed energy consumption model can assist businesses in accurately estimating and managing energy usage, which is essential for cost-effective planning and improving operational efficiency in real-world IoT deployments.
Authors: Zhiqiang Xu, Luke Kane, Vicky Liu, Matthew McKague, Yuefeng Li
Institution: Queensland University of Technology
Language: English
Topic: IoT Networks and Protocols
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,075
OpenAlex ID: W4411202941