Location sensing and privacy in a context-aware computing environment

This paper presents and evaluates two location sensing algorithms that we have developed and demonstrated. We present comparative accuracy results, complexity of training the system, and total power consumption required to perform scanning. Our method reduces training complexity by a factor of eight, and yields noticeable better accuracy. The paper also introduces a location information privacy model and reports on user study results. Our results indicate that users expect two unique behaviors from the privacy system, an introvert model where privacy is preferred, and an extrovert model where availability of information is preferred.