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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. In this paper, the authors present CellSense, a probabilistic RSSI-based fingerprinting location determination system for GSM phones. They discuss the challenges of implementing a probabilistic fingerprinting localization technique in GSM networks and present the details of the CellSense system and how it addresses these challenges. They then extend the proposed system using a hybrid technique that combines probabilistic and deterministic estimation to achieve both high ac-curacy and low computational overhead.
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