Project: PASTA


TItle: Power Aware Sensing Tracking and Analysis


The Power Aware Sensing Tracking and Analysis (PASTA) project is a DARPA-funded project that is investigating power-efficient systems for unattended ground sensor (UGS) applications. One of the applications that the project studies the tracking of moving vehicles using acoustic sensors. The NESL lab is involved in studying the effect of hierachical networks on the tracking cost and performance. The low tier of the hierarhical network comprises of small resource-contrained nodes (tripwires) such as the Berkeley motes as tripwire nodes. Higher tier nodes (trackers) perform sophisticated signal processing such as beamforming in order to estiamate the location of a moving vehicle using acoustic sensors.

Tripwire nodes consume low power and operate continuously to detect interesting events such as vehicles entering the field of interest. Upon detection tripwires wake up the more capable tracker nodes that perform the actual tracking of the intersting event. For more information about the project please visit the official project web page at USC/ISI East.

Status: Inactive Project

Main Research Area: Power-aware Computing and Communications



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