RANGE AND LOCATION BASED PRIVACY AWARE MONITORING FOR DYNAMIC OBJECTS

Abstract

Privacy Accuracy Monitoring(PAM) is a framework that addresses the fundamental issues accuracy,
efficiency and privacy of moving objects. Location update is the key for this framework which distinguishes it from the
existing system. The scheme defines clearly, when and how the mobile clients should exchange their locations with the
server. When the query is altered, the PAM updates the location based on relevant result and safe region. Moreover,
various client update strategies have been used to optimize accuracy, privacy and efficiency. We develop efficient
query evaluation/ revaluation and safe region computational algorithms in the framework. The experimental result
show that PAM substantially outperforms traditional schemes in terms of monitoring accuracy, CPU cost and
scalability while achieving close-to-optimal communication cost.