Range and Location Based Privacy Aware Monitoring For Dynamic Objects
Efficiency and privacy are two fundamental issues in moving object monitoring. This paper proposes a Privacy-Aware Monitoring (PAM) framework that addresses both issues. The framework distinguishes itself from the existing work by being the first to holistically address the issues of location updating in terms of monitoring accuracy, efficiency and privacy, particularly, when and how mobile clients should send location updates to the server. Based on the notions of the safe region and most probable result, PAM performs location updates only when they would likely alter the query results. Furthermore, by designing various client update strategies, the framework is flexible and able to optimize accuracy, privacy or efficiency. The authors develop efficient query evaluation/ revaluation and safe region computational algorithms in the framework.