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 carr...

Locating an unknown-position source using received signal strength (RSS) measurements in an accurate and low-complexity manner is addressed in this paper. Given that the source transmit power is unknown, we employ the differential RSS information to devise two computationally attractive localization methods based on the weighted least squares (WLS) approach. The main ingredients in the first al...

In a cellular network, handoff is a transition for any given user from one base station to another geographically adjacent base station, as the user is free to move around. If handoff fails, it leads to forced termination of ongoing call. This is not user friendly at all. The major parameter in any network is defined by its Quality of Service (QOS) and handoff decision scheme plays a major role...

Context-aware applications have been gaining huge interest in the last few years. With cell phones becoming ubiquitous computing devices, cell phone localization has become an important research problem. Database Correlation Method (DCM) is a positioning technology that based on a database of a premeasured location dependent variable such as Received Signal Strength (RSS). DCM has shown superio...

This paper presents a particle filter approach to solving radio source localization using only received signal strength indicator (RSSI) measurements. It uses a model that exploits the behavior of wireless signals in free space and obtains position estimates from the signal strength. These noisy position estimates are then used in a particle filter which estimates the posterior distribution of ...