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The desire for persistent, long term surveillance and covertness places severe constraints on the power consump- tion of a sensor node. To achieve the desired endurance while minimizing the size of the node, it is imperative to use application-speciflc integrated circuits (ASICs) that deliver the required performance with maximal power e-ciency while minimizing the amount of communication bandwidth needed. This paper reviews our ongoing efiort to integrate several micropower devices for low-power wake-up detection, blind source separation and local- ization and pattern classiflcation, and demonstrate the utility of the system in relevant surveillance applications. The capabilities of each module are presented in detail along with performance statistics measured during recent experiments.

<title>A miniature low-power intelligent sensor node for persistent acoustic surveillance</title>