This document summarizes a research paper that proposes a methodology to improve source location privacy preservation in wireless sensor networks. The paper introduces the concept of "interval indistinguishability" to quantify anonymity. It maps the problem of breaching source anonymity to the statistical problem of binary hypothesis testing with nuisance parameters. The paper proposes modeling anonymity, describes the network and adversarial models, and reviews related work before introducing its methodology. The methodology aims to address issues with existing solutions and practically prove the efficiency of improving source location privacy through a modified statistical framework.