Certain investigations on routing And multi objective optimization in Long term evolution LTE network

Abstract

Corporations are increasingly maintaining large size electronic newlineDatabases which are accessed using internet or intranet Important newlineinformation utilized from the data using data mining methods While newlineperforming data mining steps there is an inherent danger to the privacy of the newlinedata The sensitive data available in the database should not be accessible to newlineall users Techniques proposed in the literature for privacy protection newlinePrivacy Preserving Data Mining PPDM use algorithms on confidential data newlinethat are unknown even to the algorithm operator Users personal information newlineand information concerning their collective activity are two major privacy newlinepreservation dimensions The former is termed individual privacy newlinepreservation and the latter collective privacy preservation newlineWith increasing popularity LTE technology standard is gaining newlinesignificant growth in providing broadband connectivity for fixed and wireless newlineusers To efficiently support the large number of customers in the LTE newlinenetwork the network can be enabled with distributed services Traditional newlineRouting Algorithms do not support distributed services A Distributed newlineRouting algorithm with Controlled Flooding DRCF is a routing protocol that newlinesupports distributed services in a LTE environment but the performance of the newlinealgorithm has been tested only on synthetic networks newline newline