Error modeling in RE-based location detection (EMLD) for pervasive computing environments

In recent years, a plethora of signal-based (Radio Frequency based) location detection techniques have been proposed for pervasive computing due to the limited scope of GPS when considering indoor and highly urban environments. However, these techniques have a major drawback in the error they incorporate. This paper addresses the problem of erratic location detection of mobile devices when signal-based technologies (non-GPS based solutions) are used. It generates an error model, EMLD, the parameters of which may be modified and used based on the surroundings of the target location to generate accurate location coordinates. This paper also provides an implementation of EMLD that can be used in order to determine location coordinates. It is a highly generalized approach that becomes more specific based on clients' needs that result in the assumptions and setup criteria of the approach.