Efficiently querying uncertain spatial space

Location-based services are becoming increasing ly popular due to exponentially increased usage of smartphones and cheap wireless network. This project aims to provide effective and efficient techniques to solve the most reprehensive location-based queries in uncertain spatial space with probablistic constraints. The contraints cam be modified to model various important travelling domains such as road networks, Euclidean space with obstacles and indoor space etc. The project also takes into account the uncertainty present in the real world data. The successful completion of the project will enhance the location-based services used by a broad class of users and applications