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27th International Conference on Distributed Computing Systems (ICDCS '07)
EnviroMic: Towards Cooperative Storage and Retrieval in Audio Sensor Networks
Toronto, Canada
June 25-June 27
ISBN: 0-7695-2837-3
Liqian Luo, Univ.of Illinois at Urbana-Champaign
Qing Cao, Univ.of Illinois at Urbana-Champaign
Chengdu Huang, Univ.of Illinois at Urbana-Champaign
Tarek Abdelzaher, Univ.of Illinois at Urbana-Champaign
John A. Stankovic, Univ. of Virginia
Michael Ward, 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.
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Citation:
Liqian Luo, Qing Cao, Chengdu Huang, Tarek Abdelzaher, John A. Stankovic, Michael Ward, "EnviroMic: Towards Cooperative Storage and Retrieval in Audio Sensor Networks," icdcs, pp.34, 27th International Conference on Distributed Computing Systems (ICDCS '07), 2007
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