Therefore, this paper proposed a tri-partition RSSI classification and its tracing algorithm as an RSSI filter. However, it suffers from low stability because RSSI is easily blocked and easily interfered with by objects and environmental effects. While there is no simple precise solution that is used universally, we will try to explain the approximate correlation between signal ( RSSI) and quality (percentage).Received signal strength indicator (RSSI)-based positioning is suitable for large-scale applications due to its advantages of low cost and high accuracy. RSSI level less than -80db may not be usable, depending on noise. RSSI is usually expressed in decibels from 0 (zero) to -120db and the closer it is to zero, the stronger the signal is. How does RSSI (dBm) relate to signal quality (percent)?ĭepending on your OS and application, WiFi signal strength is represented either as quality in percentage, or an RSSI value in dBm, i.e. In 802.11 networks, re-transmissions adversely affect throughput and latency. Data corruption and therefore re-transmissions will occur if the received signal is too close to the noise floor. For example, if a radio (client device) receives a signal of -75 dBm and the noise floor is measured at -90 dBm, the SNR is 15 dB. SNR is not actually a ratio but the difference in decibels between the received signal and the background noise level (noise floor). Any functionality is highly unlikely.Īnd what about SNR (Signal to Noise Ratio) Packet delivery may be unreliable.Īpproaching or drowning in the noise floor. Minimum signal strength for basic connectivity. Minimum signal strength for reliable packet delivery.

Minimum signal strength for applications that require very reliable, timely packet delivery. Not typical or desirable in the real world. The client can only be a few feet from the AP to achieve this.

Minimum rssi