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2013 IEEE 33rd International Conference on Distributed Computing Systems (2007)
Toronto, Canada
June 25, 2007 to June 27, 2007
ISBN: 0-7695-2837-3
pp: 34
John A. Stankovic , Univ. of Virginia
Chengdu Huang , Univ.of Illinois at Urbana-Champaign
Qing Cao , Univ.of Illinois at Urbana-Champaign
Michael Ward , Univ. of Illinois at Urbana-Champaign
Tarek Abdelzaher , Univ.of Illinois at Urbana-Champaign
Liqian Luo , Univ.of Illinois at Urbana-Champaign
This paper presents EnviroMic, a novel distributed acoustic monitoring, storage, and trace retrieval system. Audio rep- resents one of the least exploited modalities in sensor net- works to date. The relatively high frequency and large size of audio traces motivate distributed algorithms for coordi- nating recording tasks, reducing redundancy of data stored by nearby sensors, filtering out silence, and balancing stor- age utilization in the network. Applications of acoustic monitoring with EnviroMic range from the study of mating rituals and social behavior of animals in the wild to au- dio surveillance of military targets. EnviroMic is designed for disconnected operation, where the luxury of having a basestation cannot be assumed. We implement the system on a TinyOS-based platform and systematically evaluate its performance through both indoor testbed experiments and a preliminary outdoor deployment. Results demonstrate up to a 4-fold improvement in effective storage capacity of the network compared to uncoordinated recording.
John A. Stankovic, Chengdu Huang, Qing Cao, Michael Ward, Tarek Abdelzaher, Liqian Luo, "EnviroMic: Towards Cooperative Storage and Retrieval in Audio Sensor Networks", 2013 IEEE 33rd International Conference on Distributed Computing Systems, vol. 00, no. , pp. 34, 2007, doi:10.1109/ICDCS.2007.108
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