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Indoor WiFi path loss model to estimate indoor network coverage considering residential design

Author(s):
ORCID

Medium: journal article
Language(s): English
Published in: Smart and Sustainable Built Environment
DOI: 10.1108/sasbe-05-2023-0131
Abstract:

Purpose

Network coverage is crucial for the adoption of advanced Smart Home applications. The commonly used log-based path loss model is not able to accurately estimate WiFi signal strength in different houses, as it does not fully consider the impact of building morphology. To better describe the propagation of WiFi signals and achieve higher estimation accuracy, this paper studies the basic building morphology characteristics of houses.

Design/methodology/approach

A new path loss model based on a decision tree was proposed after measuring the WiFi signal strength passing through multiple housing units. Three types of regression models were tested and compared.

Findings

The findings demonstrate that the log-based path loss model fits small houses well, while the newly proposed nonlinear path loss model performs better in large houses (area larger than 125 m2 and area-to-perimeter ratio larger than 2.5). The impact of building design on path loss has been proven and specifically quantified in the model.

Originality/value

Proposed an improved model to estimate indoor network coverage. Quantify the impacts of building morphology on indoor WiFi signal strength. Improve WiFi signal strength estimation to support Smart Home applications.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1108/sasbe-05-2023-0131.
  • About this
    data sheet
  • Reference-ID
    10779588
  • Published on:
    12/05/2024
  • Last updated on:
    12/05/2024
 
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