In Juniper Networks Mist AI Wireless Real-Time Location System (RTLS) design discussions, multiple location technologies are commonly compared based on accuracy, reliability, and use-case suitability. Among the listed options, Ultra Wide-Band (UWB) provides the greatest location accuracy.
UWB achieves superior accuracy because it uses very short-duration radio pulses across a wide frequency spectrum, enabling extremely precise time-of-flight (ToF) and time-difference-of-arrival (TDoA) measurements. This allows UWB systems to determine device location with decimeter-level precision, often in the range of 10–30 centimeters, even in complex indoor environments. UWB is also highly resistant to multipath interference, which is a major limitation of Wi-Fi and BLE-based positioning systems.
By comparison:
Wi-Fi–based location relies on RSSI and sometimes Angle of Arrival (AoA), typically achieving 3–5 meter accuracy under good conditions.
BLE badges improve accuracy over Wi-Fi by using beacon proximity and BLE signal characteristics, often achieving 1–3 meter accuracy, depending on beacon density and calibration.
SDK-enabled mobile applications can enhance BLE or Wi-Fi accuracy by leveraging motion sensors and device context, but they are still constrained by the underlying RF technology and rarely reach sub-meter precision.
While Juniper Mist’s vBLE and AI-driven probability surfaces deliver industry-leading accuracy for Wi-Fi and BLE-based RTLS use cases such as wayfinding, asset visibility, and proximity engagement, UWB remains the most accurate indoor positioning technology overall. Its precision makes it ideal for high-value use cases such as medical equipment tracking, industrial automation, and secure access control.
Therefore, the correct answer is Ultra wide-band (UWB), as it provides the highest level of location accuracy among the listed solutions.
