Forecasting the Relevant User Future Location and Reduction of Searching Time by Unscented Kalman Filter

With the help of the GPS the user can Location based service helps the user to know about their surroundings when the user query the request for a particular location to the LBS server. Based on the user query rates per unit time and the lifetime of the context information the user are not observed by the server. But when the life time of the user request to the server side increases the users are easily tracked by the server. The user confidentiality can be increased by using Unscented Kalman Filter algorithm. By this algorithm the required data which is needed for the user will be displayed at the top. First the user has to send the required location as a query to the LBS server. The server in turn matches the user queries with the cloud database to verify whether the authorized user has entered the query. The Unscented Kalman Filter algorithm will display the required details which are provided to the user at the top. Hence the user can get the required details immediately. Thereby the frequent request by the user will be avoided.