June 25, 2007 to June 27, 2007
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
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.
Qing Cao, Chengdu Huang, Tarek Abdelzaher, John A. Stankovic, Liqian Luo, "EnviroMic: Towards Cooperative Storage and Retrieval in Audio Sensor Networks", ICDCS, 2007, 2013 IEEE 33rd International Conference on Distributed Computing Systems, 2013 IEEE 33rd International Conference on Distributed Computing Systems 2007, pp. 34, doi:10.1109/ICDCS.2007.108