Privacy Conscious Screening Framework for Frequently Moving Objects

The fundamental problem in any monitoring system is when and how a mobile client should send location updates to the server, because it determines three principal performance measures such as monitoring accuracy, efficiency, and privacy. In this paper the clients considered as, are privacy conscious. The PCS is the comprehensive framework that addresses the issue of location updating holistically with monitoring accuracy, efficiency, and privacy altogether. This framework extends from the previous work by introducing a common privacy model, and therefore, suits realistic scenarios. We incorporate other types of queries into the framework, such as spatial joins and aggregate queries. We optimize the performance of the framework by sequentially optimizing the queries but maintain the safe region accumulated by the queries optimized so far.