Optional: Compare the RSSIs for all networks in range of your device The RSSI for your current connection will be shown.The green-highlighted row is your current connection, but all networks in range of your device are displayed.To find your RSSI, open the WifiInfoView application.Extract the files from the downloaded zip file.Click 'Download WifiInfoView' Under 'Feedback' near the bottom of the page.WifiInfoView is a free application for Windows which can, among other measurements, display the RSSI of all networks detected by your computer. A useful rule of thumb is that if the RSSI is less than –70 dBm, you are unlikely to have good performance over Wi-Fi for bandwidth intensive tasks. Received Signal Strength Indicator (RSSI) is an estimated measurement of how well a device can hear, detect and receive signals from any wireless access point or Wi-Fi router.Īn RSSI closer to 0 is stronger, and closer to –100 is weaker.įor best performance, you want your RSSI to be as high as possible. These calculated RSSI values can then be used and as inputs for an indoor location engine for location determination.Overview of determining the strength of your wifi signal. Results show that the mean and mode can be used in combination to filter and smooth RSSI values. The Nordic System on Chip (SOC) is used as the low power node together with a series of Raspberry Pi gateways. Therefore, this study proposes the use of a Link Quality Indicator as a reference point for further calculation of the location of an asset or a person. However, due to the changing indoor environment these may become outdated very quickly. Fingerprint databases have been used extensively as a reference to determine location. We then analyse the RSSI from Low Power Nodes, their calculated mean, median and mode values as a basis for further use in an indoor real time location system. This study adopts Bluetooth Low Energy technology and uses the Received Signal strength Indicator (RSSI) from messages as a data source. Technologies such as Radio Frequency Identification (RFID), Bluetooth, and Wi-Fi, together with location algorithms that include optimization, still require further research for large-scale deployments. Technologies that can be used for location outdoors are readily available using Global Positioning Systems (GPS) whilst technologies used for indoor location still prove to be a challenge.

Rssi values