From: Wi-Fi indoor positioning and navigation: a cloudlet-based cloud computing approach
 | Trilateration algorithms | Triangulation algorithms | |||
---|---|---|---|---|---|
Name | RToF [41] | ||||
Method | The distances are directly measured with respect to the propagation time | Examine the difference in time at which the signal arrives at multiple reference access points [17] | Calculate signal path loss due to propagation | Based on the round-trip time-of-flight of the signal | Find the intersection of several pairs of angle direction lines [17] |
Advantages | It can be deployed with various signals, such as the direct sequence spread-spectrum (DSSS) [22] or ultrawide band (UWB) signal [23] | The cross correlation between the signals received at a pair of reference access points can be used to estimate an accurate location [25] | An RSS-based method is used to estimate the range of the difference between the transmitted signal strength and the received signal strength [42] | An observational error, which is the difference between a measured quantity and its true value, of only a few meters can be achieved [41] | It does not require time synchronization between reference access points [26, 27] |
Drawbacks | Requires respect to signal from at least three reference points A timestamp must be labeled in the transmitting signal [17] | The multiple reference access points must share a precise time reference and reference signals | Path-loss models will be changed owing to the different indoor environment conditions, such as severe multipath fading and shadowing | It is difficult to model the exact delay or processing time in a real environment | The angle direction is affected by shadowing or multipath reflections [28] |