A Hybrid Framework for Localization and Convergence in Indoor Environments

Current research on location awareness in ubiquitous computing focuses on optimizing legacy technologies. Such trends stem-out of the fact that these contrivances are readily available and are deployable on-the-fly. Earlier reported localization systems were customized on need-cum basis but proved to be expensive and cumbersome. Our research is based on the premise that legacy communication technologies such as WLAN and Bluetooth do not offer inherent location sensing capability, and sensing technologies such as RFID offer demographically limited coverage. In this paper, we propose a hybrid framework that optimizes localization. We argue on the anatomy of the proposed framework for indoor location sensing that underpin localization, sensing and remote querying.