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2010
Springer

Hibernets: energy-efficient sensor networks using analog signal processing

9 years 8 months ago
Hibernets: energy-efficient sensor networks using analog signal processing
In-network processing is recommended for many sensor network applications to reduce communication and improve energy efficiency. However, constraints on memory, speed, and energy currently limit the processing capabilities within a sensor network. In this paper, we describe how ultra-low-power analog circuitry can be integrated with sensor nodes to create energy-efficient sensor networks. We present a custom analog frontend which performs spectral analysis at a fraction of the power used by a digital counterpart. We then show that the front-end can be combined with existing sensor nodes to (1) selectively wake up the mote based upon spectral content of the signal, thus increasing battery life without missing interesting events, and to (2) achieve low-power signal analysis using an analog spectral decomposition block, freeing up digital computation resources for higher-level analysis. Categories and Subject Descriptors B.7 [Integrated Circuits]: Miscellaneous; C.3 [Special-purpose and ...
Brandon Rumberg, David W. Graham, Vinod Kulathuman
Added 13 Oct 2010
Updated 13 Oct 2010
Type Conference
Year 2010
Where IPSN
Authors Brandon Rumberg, David W. Graham, Vinod Kulathumani
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