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Design, implementation, and evaluation of EnviroMic: A storage-centric audio sensor network
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ACM Transactions on Sensor Networks (TOSN) archive
Volume 5 ,  Issue 3  (May 2009) table of contents
Article No. 22  
Year of Publication: 2009
ISSN:1550-4859
Authors
Liqian Luo  Microsoft Research, Redmond, WA
Qing Cao  University of Illinois at Urbana-Champaign
Chengdu Huang  University of Illinois at Urbana-Champaign
Lili Wang  University of Illinois at Urbana-Champaign
Tarek F. Abdelzaher  University of Illinois at Urbana-Champaign
John A. Stankovic  University of Virginia
Michael Ward  University of Illinois at Urbana-Champaign
Publisher
ACM  New York, NY, USA
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ABSTRACT

This article presents the design, implementation, and evaluation of EnviroMic, a low-cost experimental prototype of a novel distributed acoustic monitoring, storage, and trace retrieval system designed for disconnected operation. Our intended use of acoustic monitoring is to study animal populations in the wild. Since a permanent connection to the outside world is not assumed and due to the relatively large size of audio traces, the system must optimally exploit available resources such as energy and network storage capacity. Towards that end, we design, prototype, and evaluate distributed algorithms for coordinating acoustic recording tasks, reducing redundancy of data stored by nearby sensors, filtering out silence, and balancing storage utilization in the network. For experimentation purposes, we implement EnviroMic on a TinyOS-based platform and systematically evaluate its performance through both indoor testbed experiments and an outdoor deployment. Results demonstrate up to a four-fold improvement in effective storage capacity of the network compared to uncoordinated recording.


REFERENCES

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Collaborative Colleagues:
Liqian Luo: colleagues
Qing Cao: colleagues
Chengdu Huang: colleagues
Lili Wang: colleagues
Tarek F. Abdelzaher: colleagues
John A. Stankovic: colleagues
Michael Ward: colleagues