  In this paper, estimation of mobility using received signal strength is
presented. In contrast to standard methods, speed can be inferred without the
use of any additional hardware like accelerometer, gyroscope or position
estimator. The strength of Wi-Fi signal is considered herein to compute the
time-domain features such as mean, minimum, maximum, and autocorrelation. The
experiments are carried out in different environments like academic area,
residential area and in open space. The complexity of the algorithm in training
and testing phase are quadratic and linear with the number of Wi-Fi samples
respectively. The experimental results indicate that the average error in the
estimated speed is 12 % when the maximum signal strength features are taken
into account. The proposed method is cost-effective and having a low complexity
with reasonable accuracy in a Wi-Fi or cellular environment. Additionally, the
proposed method is scalable that is the performance is not affected in a
multi-smartphones scenario.
