C4.5: programs for machine learning
C4.5: programs for machine learning
Human-powered wearable computing
IBM Systems Journal
Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Geography-informed energy conservation for Ad Hoc routing
Proceedings of the 7th annual international conference on Mobile computing and networking
Proceedings of the 7th annual international conference on Mobile computing and networking
Exposure in wireless Ad-Hoc sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Research challenges in wireless networks of biomedical sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
An environmental energy harvesting framework for sensor networks
Proceedings of the 2003 international symposium on Low power electronics and design
Rate allocation in wireless sensor networks with network lifetime requirement
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Proceedings of the 3rd international conference on Embedded networked sensor systems
Heliomote: enabling long-lived sensor networks through solar energy harvesting
Proceedings of the 3rd international conference on Embedded networked sensor systems
An Energy-Efficient Data Dissemination Protocol forWireless Sensor Networks
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
Telos: enabling ultra-low power wireless research
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Design considerations for solar energy harvesting wireless embedded systems
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Perpetual environmentally powered sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
The design and evaluation of a hybrid sensor network for Cane-Toad monitoring
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
A self-calibrating system of distributed acoustic arrays
A self-calibrating system of distributed acoustic arrays
The Tenet architecture for tiered sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Fidelity and yield in a volcano monitoring sensor network
OSDI '06 Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation - Volume 7
Preprocessing in a tiered sensor network for habitat monitoring
EURASIP Journal on Applied Signal Processing
Monitoring frog communities: an application of machine learning
IAAI'96 Proceedings of the eighth annual conference on Innovative applications of artificial intelligence
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
The SpaTeC composite event language for spatio-temporal reasoning in mobile systems
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
Energy-aware sparse approximation technique (EAST) for rechargeable wireless sensor networks
EWSN'10 Proceedings of the 7th European conference on Wireless Sensor Networks
Research on decentralized message broadcasting for multi-emergent events
ICICA'11 Proceedings of the Second international conference on Information Computing and Applications
An approach to enhance safe large data exchange for web services
ICICA'11 Proceedings of the Second international conference on Information Computing and Applications
ACM Transactions on Sensor Networks (TOSN)
Classification of underwater broadband bio-acoustics using spectro-temporal features
Proceedings of the Seventh ACM International Conference on Underwater Networks and Systems
A high-frequency sampling monitoring system for environmental and structural applications
ACM Transactions on Sensor Networks (TOSN)
Real-time classification via sparse representation in acoustic sensor networks
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
Quality of information-based source assessment and selection
Neurocomputing
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This article investigates a wireless acoustic sensor network application—monitoring amphibian populations in the monsoonal woodlands of northern Australia. Our goal is to use automatic recognition of animal vocalizations to census the populations of native frogs and the invasive introduced species, the cane toad. This is a challenging application because it requires high frequency acoustic sampling, complex signal processing, wide area sensing coverage and long-lived unattended operation. We set up two prototypes of wireless sensor networks that recognize vocalizations of up to ninth frog species found in northern Australia. Our first prototype consists of only resource-rich Stargate devices. Our second prototype is more complex and consists of a hybrid mixture of Stargates and inexpensive, resource-poor Mica2 devices operating in concert. In the hybrid system, the Mica2s are used to collect acoustic samples, and expand the sensor network coverage. The Stargates are used for resource-intensive tasks such as fast Fourier transforms (FFTs) and machine learning. The hybrid system incorporates four algorithms designed to account for the sampling, processing, energy, and communication bottlenecks of the Mica2s (1) high frequency sampling, (2) thresholding and noise reduction, to reduce data transmission by up to 90%, (3) sampling scheduling, which exploits the sensor network redundancy to increase the effective sample processing rate, and (4) harvesting-aware energy management, which exploits sensor energy harvesting capabilities to extend the system lifetime. Our evaluation shows the performance of our systems over a range of scenarios, and demonstrate that the feasibility and benefits of a hybrid systems approach justify the additional system complexity.