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title: I used an ESP32 to map my Wi-Fi dead zones instead of...
description: A DIY project uses a spare ESP32-S3 board flashed with ESPHome to measure Wi-Fi signal strength (RSSI) room by room instead of manually walking around with a...
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# I used an ESP32 to map my Wi-Fi dead zones instead of walking around with my phone

**[XDA Developers](https://daily.dev/sources/xda-developers)** · 4 min read · 0 upvotes · 0 comments

## Summary

A DIY project uses a spare ESP32-S3 board flashed with ESPHome to measure Wi-Fi signal strength (RSSI) room by room instead of manually walking around with a phone and unreliable Wi-Fi analyzer apps. The readings feed into Home Assistant via a short YAML config, with sensors for live reading, survey average, and per-room latest results, plus a custom dashboard to record and compare values. The survey revealed weak Wi-Fi in a kitchen and bedroom corner that phone signal bars never flagged.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.xda-developers.com/used-esp32-to-map-wi-fi-dead-zones-instead-of-walking-around-with-phone>

## Questions this post answers

### How can I measure Wi-Fi signal strength room by room instead of relying on my phone's signal bars?

Flash an ESP32 board with an ESPHome YAML configuration that reads Wi-Fi RSSI and reports it as a sensor to Home Assistant. Set up three sensors (live reading, running survey average, and latest per-room result), then build a dashboard with entity cards for live signal, survey recording with room/duration selection, and a list of per-room results to walk through each room and log values.

_Developers tracking home network DIY builds can follow practical ESP32 and Home Assistant projects on daily.dev._

### Why shouldn't I trust Wi-Fi signal bars or phone analyzer apps to find dead zones in my house?

Phone signal bars are imprecise indicators, and different Wi-Fi analyzer apps tested in the same spot gave conflicting readings, with one showing a strong connection and another flagging the same corner as borderline. Neither approach logs historical readings per location, making it hard to trust a single app's verdict on where connectivity actually drops.

_Anyone debugging flaky home Wi-Fi can find more hands-on troubleshooting write-ups on daily.dev._

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---

Tags: [#iot](https://daily.dev/tags/iot), [#networking](https://daily.dev/tags/networking)

[View this post on daily.dev](https://daily.dev/posts/i-used-an-esp32-to-map-my-wi-fi-dead-zones-instead-of-walking-around-with-my-phone-gxpnd7gdo)

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