What we need is an effective mechanism to store and process only readings that correspond to an explosion. while filtering out the rest. In our preliminary work [I l], we designed an algorithm to detect the occurrence of an explosion event from accelerometer readings of a smartphone. For the current ranging experiments, our algorithm was installed as a smartphone app that continuously processed accelerometer readings from the smartphones. and saved only those readings corresponding to an actual explosion event, while filtering out the rest. hence making our technique storage efficient. The final challenge is the lack of clear and practically useful models to range explosion events from sensing accelerometer readings from smartphones. While there are some existing works that address this issue using measurements from state of the art geophones