Energy-Aware WLAN Deployment for Operational Energy and Carbon Reduction in Multi-Story Public Buildings.

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Bibliographic Details
Title: Energy-Aware WLAN Deployment for Operational Energy and Carbon Reduction in Multi-Story Public Buildings.
Authors: Coşar, Mustafa1 (AUTHOR)
Source: Energies (19961073). May2026, Vol. 19 Issue 9, p2069. 24p.
Subject Terms: *Public buildings, *Wireless LANs, *Greenhouse gas mitigation, *Signal-to-noise ratio
Abstract: The energy consumption of digital communication infrastructures is increasingly recognized as a component of operational building energy use. In multi-story public buildings, Wireless Local Area Networks (WLANs) are typically deployed under static, always-on configurations, leading to avoidable energy overhead caused by spatial interference and inefficient access point placement. This study proposes an energy-aware WLAN deployment framework that integrates user-weighted spatial placement with deterministic three-dimensional vertical interference coordination. The framework is evaluated using 50 independent Monte Carlo simulations on a representative three-story public building model. Results indicate a reduction in annual operational energy consumption from 1892.71 kWh to 1333.71 kWh (-29.5%), with a proportional decrease in carbon emissions, while maintaining a 97% coverage requirement. Furthermore, worst-case signal quality improves, with Signal-to-Interference-plus-Noise Ratio (SINR) P10 increasing from 17.66 dB to 25.53 dB and median network capacity rising by 30.6%. These findings suggest that interference-aware spatial coordination can function as an effective energy optimization layer within building-integrated digital infrastructures. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Abstract:The energy consumption of digital communication infrastructures is increasingly recognized as a component of operational building energy use. In multi-story public buildings, Wireless Local Area Networks (WLANs) are typically deployed under static, always-on configurations, leading to avoidable energy overhead caused by spatial interference and inefficient access point placement. This study proposes an energy-aware WLAN deployment framework that integrates user-weighted spatial placement with deterministic three-dimensional vertical interference coordination. The framework is evaluated using 50 independent Monte Carlo simulations on a representative three-story public building model. Results indicate a reduction in annual operational energy consumption from 1892.71 kWh to 1333.71 kWh (-29.5%), with a proportional decrease in carbon emissions, while maintaining a 97% coverage requirement. Furthermore, worst-case signal quality improves, with Signal-to-Interference-plus-Noise Ratio (SINR) P10 increasing from 17.66 dB to 25.53 dB and median network capacity rising by 30.6%. These findings suggest that interference-aware spatial coordination can function as an effective energy optimization layer within building-integrated digital infrastructures. [ABSTRACT FROM AUTHOR]
ISSN:19961073
DOI:10.3390/en19092069