Smart devices are becoming increasingly important and ubiquitous in our daily lives. As a result, localization and security measures are essential for ensuring safety equipment protection. This work exposes a method for device localization using the Received Signal Strength Indicator (RSSI), measuring the power of the signal received from Wi-Fi access points. The experimental setup includes three Raspberry Pi devices and an ESP module supplying access to Wi-Fi signal resources, distributed across indoor and outdoor environments. This approach provides a solution to scenarios when GPS signals are weak or unavailable. The ESP emits signals, while the Raspberry Pi devices receive the RSSI values. We apply the triangulation algorithm is applied to accurately determine the location of the ESP module. This process is performed by a single Raspberry Pi, which acts as a primary processing unit, while the other two serve as secondary nodes that receive and forward data. This paper emphasizes the importance of accessible localization methods, highlighting the cost-effective and educationally relevant solution for indoor localization, proving the capability of implementing systems using affordable hardware without the need for GPS.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Implementation of a Smart Location System Using Wi-Fi Triangulation and ESP8266 Microcontroller

  • Ioana-Emilia Ciurescu,
  • Ioana Corina Bogdan,
  • Alexandru Chis,
  • Titus Balan

摘要

Smart devices are becoming increasingly important and ubiquitous in our daily lives. As a result, localization and security measures are essential for ensuring safety equipment protection. This work exposes a method for device localization using the Received Signal Strength Indicator (RSSI), measuring the power of the signal received from Wi-Fi access points. The experimental setup includes three Raspberry Pi devices and an ESP module supplying access to Wi-Fi signal resources, distributed across indoor and outdoor environments. This approach provides a solution to scenarios when GPS signals are weak or unavailable. The ESP emits signals, while the Raspberry Pi devices receive the RSSI values. We apply the triangulation algorithm is applied to accurately determine the location of the ESP module. This process is performed by a single Raspberry Pi, which acts as a primary processing unit, while the other two serve as secondary nodes that receive and forward data. This paper emphasizes the importance of accessible localization methods, highlighting the cost-effective and educationally relevant solution for indoor localization, proving the capability of implementing systems using affordable hardware without the need for GPS.