Crowdsourcing based terminal positioning using linear and non-linear interpolation techniques

Recent years were marked by a rapid development of mobile technologies. Contemporary mobile devices equipped with powerful processor and a variety of additional sensors open new opportunities to track user position. Crowdsourcing is a new field of research devoted to data retrieval from a crowd of users. Mobile users actively participate in collection of datasets consisting of position, power of received signal and information related to actual location. The mobile user can also inquires about his location or ask for a specific service by sending queries to the crowdsourcing database. In our work, we propose and compare on positioning techniques based on crowdsourcing data using partitioning and interpolation. A taxonomy of methods will be presented and evaluated.