IoT based indoor localization
IoT based indoor localization using Wi-Fi is a GPS-free positioning system that uses Wi-Fi to locate a target node. Wi-Fi location uses already existing infrastructure and Wi-Fi access points (APs) to calculate where a device is located. GPS is the most famous positioning sy
2025-06-28 16:28:06 - Adil Khan
IoT based indoor localization
Project Area of Specialization Internet of ThingsProject SummaryIoT based indoor localization using Wi-Fi is a GPS-free positioning system that uses Wi-Fi to locate a target node. Wi-Fi location uses already existing infrastructure and Wi-Fi access points (APs) to calculate where a device is located. GPS is the most famous positioning system that we know. However, certain other application demands to locate a person or navigate person in indoor areas like in shopping malls or college building. GPS fails in such cases because of its inability to work in non-line of sight conditions like walls, roofs and feniture. There are various methods of indoor localization however, unlike BLE beacons or RFID, Wi-Fi does not require additional hardware or infrastructure maintenance. Wi-Fi-based indoor localization is an accurate and cost effective solution because of the wide availability of Wi-Fi devices and relatively large coverage range. IoT based indoor localization using W-Fi finds its applications in guiding and helping a Disabled person to nevigate in a building, locating a person in an area, tracking people and objects in hazardous environments.
Project Objectives- Design a positionig system to locate user in an indoor environment
- The system will guide the position of Wi-Fi target node in any infrastructure or large buildings with an accuracy less than 2 meters
- In commercial point-of-view, this project will provide better accuracy with reliable product at low cost.
Raspberry Pi 3 model B+ was used as a target node to detect its position. Atleast three Anchor nodes(Access Points) were required to estimate the position. The intensity of the received signals (RSSI) from nearby Wi-Fi devices was measured. The received signal strengths from three access points was converted into distance, depending on the log distance relation, using the Log Distance Signal Propagation Model. Trilateration method was used for indoor localization which makes use of the point of intersection of three circles of Wi-Fi Acces Points which gives the exact position of user. This position was mapped on Graphical User Interface Display to provide the graphical position to the user.
Benefits of the Project- Wi-Fi based positioning does not require additional hardware or infrastructure maintenance rather it uses existing wifi routers and devices
- It would guide the Disabled person within the building with the addition of voice commands
- Help to locate the people and objects in any hazardous environment and large buildings
- . Its use cases range from IoT based monitoring and tracking assets to send relevant marketing messages to nearby electronic devices and smartphones
- IoT based localization using Wi-Fi technology
- Wi-Fi based technique: Using Received Signal Strength Indicator(RSSI)
- Distance Estimation fron RSSI: Log-Distance Signal Propagation Model
- Curve-Fitting using Linear Regression to improve accuracy
- Position estimation using Least-Square Method
- Mapping of the Position in GUI display
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 62050 | |||
| Raspberry Pi 3 model B+ | Equipment | 1 | 21500 | 21500 |
| 3.5 | Equipment | 2 | 4000 | 8000 |
| Wi-Fi Access Points | Equipment | 4 | 3000 | 12000 |
| SD card Storage (32 GB) | Equipment | 2 | 2500 | 5000 |
| Power Bank (3Amps) | Equipment | 1 | 2150 | 2150 |
| Power Supply Cable | Equipment | 4 | 600 | 2400 |
| LCD | Equipment | 4 | 500 | 2000 |
| Miscellaneous | Equipment | 1 | 9000 | 9000 |