Analysis on geometry-aware received signal strength based positioning techniques

Abstract

Positioning is an essential part of the ubiquitous world where there is ever-present computing services. Context-aware positioning makes position estimates available to location services based on the characteristics of parameters used for positioning. These handle different scenarios such as environment, adaptation, hybridization and the choice of context is dependent on user requirements. This paper present  geometry-aware received signal strength (RSS) based positioning techniques where the influences of the geometries of the BSs (where location estimation  measurements were obtained) are taken into consideration when estimating the location of the mobile station (MS). This is to alleviate the high variability in accuracy of RSS-based positioning due to varying influences in its relationship with parameters such as the wireless environment, geometry of the network, propagation model, change in infrastructure etc. This paper investigates through modeling and simulating the influence geometry has on the accuracy of some RSS-based geometric techniques. Results obtained indicated that the geometry of the cellular network is an important context required to increase the accuracy of RSS-based positioning. However, ability to predict within a limited margin of accuracy is challenging due to constantly varying parameters which affects the accuracy  obtained in unpredictable ways.

Keywords: RSS, LBS, accuracy, context-aware, geometry-aware