Adaptive Estimation of WiFi RSSI and Its Impact Over Advanced Wireless Services

RSSI is a reference magnitude of radio signal strength received by a wireless terminal. Traditionally, it has been used to implement wireless services like scanning in handoff . But its high long term variability ( volatility ) makes its high precision estimation be impossible, complicating its applicability. Moreover, every wireless terminal has its own way to provide RSSI. Recently a high impact paper has formally shown that RSSI of laboratory radio signal in WiFi always reverts to its mean. That is, its long term stability can be estimated. We present a new RSSI estimation model that improves other recently published methods; and shows that it can be used, in contrast with those other techniques, to a wide range of current wireless terminals and real world scenarios. We also show its applicability to indoor localization service, by observing how it can be used in a recent high impact paper and improving another paper also published in a high impact journal. Our method can be used in SDN.