Toward a statistical framework for source anonymity in sensor network using quantitative measures

In some applications in sensor network the location and privacy of certain events must remain anonymous or undetected even by analyzing the network traffic. In this paper the framework for modeling, investigating and evaluating the sensor network is suggested and results are charted. Suggested two folded structure introduces the notion of “interval indistinguishability” which gives a quantitative evaluation to form anonymity in sensor network and secondly it charts source anonymity to statistical problem of binary hypothesis checking with nuisance parameters. The system is made energy efficient by enhancing the available techniques for choosing cluster head. The energy efficiency of the sensor network is charted.