To estimate the interference level of channel overlapping, we define a weight factor w where its value is decided by the RSSI
of the AP that operated on overlapped channel.
based distance estimation is preferred by many researchers and has been used in many applications for indoor positioning.
For WiFi, RSSI
is the most popular attribute used in localization.
The most common range-based technique is based on RSSI
In case of any changes in the communication environment, the parameters in the radio signal propagation model would change along location information which plays an important role in location-based service application system, leading to error increment to the distance estimated upon RSSI
value or the original model becoming not applicable any more.
distance at varies to distance at time, using Wi-Fi propagation model succeeding formula correspond the minimum moving distance by using Wi-Fi propagation model :
There are a lot of studies describing positioning using RSSI
(Received Signal Strength Indication), angle of arrival (AOA) (Peng and Sichitiu, 2006) or TOF (Time of Flight) (Disha 2013).
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As we're already seeing, many solutions focus on higher-level analytics with rough RSSI
data to evaluate customer traffic trends, capture rates, return rates, and similar.
(receive signal strength indicator) is the most common technique used for distance estimation.
Dirbtiniu neuroniniu tinklui siunciamas vektorius sudarytas is triju rusiu duomenu--BER, C/I parametru ir signalo lygio RSSI
As addressed before, the main techniques are based on Angle-of-Arrival (AoA), Time-of-Arrival (ToA), and the radio signal strength, which is mostly indicated by the RSSI