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Programmable and Adaptive Analog Filters using Arrays of Floating-Gate Circuits
ARVLSI '01 Proceedings of the 2001 Conference on Advanced Research in VLSI
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ExScal: Elements of an Extreme Scale Wireless Sensor Network
RTCSA '05 Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
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ACM Transactions on Sensor Networks (TOSN)
Telos: enabling ultra-low power wireless research
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Design of a wireless sensor network platform for detecting rare, random, and ephemeral events
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Capturing high-frequency phenomena using a bandwidth-limited sensor network
Proceedings of the 4th international conference on Embedded networked sensor systems
Lucid dreaming: reliable analog event detection for energy-constrained applications
Proceedings of the 6th international conference on Information processing in sensor networks
Proceedings of the 5th international conference on Embedded networked sensor systems
Sensor network based vehicle classification and license plate identification system
INSS'09 Proceedings of the 6th international conference on Networked sensing systems
Analog soft-pattern-matching classifier using floating-gate MOS technology
IEEE Transactions on Neural Networks
Kerneltron: support vector "machine" in silicon
IEEE Transactions on Neural Networks
Hibernets: energy-efficient sensor networks using analog signal processing
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
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EWSN'12 Proceedings of the 9th European conference on Wireless Sensor Networks
Demo abstract: netamorph: field-programmable analog arrays for energy-efficient sensor networks
Proceedings of the 12th international conference on Information processing in sensor networks
ACM Transactions on Embedded Computing Systems (TECS)
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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 front-end 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.