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DIALM '99 Proceedings of the 3rd international workshop on Discrete algorithms and methods for mobile computing and communications
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IEEE/ACM Transactions on Networking (TON)
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Communications of the ACM
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WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
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SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
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P2P '05 Proceedings of the Fifth IEEE International Conference on Peer-to-Peer Computing
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ACM Transactions on Sensor Networks (TOSN)
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OSDI '06 Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation - Volume 7
EnviroMic: Towards Cooperative Storage and Retrieval in Audio Sensor Networks
ICDCS '07 Proceedings of the 27th International Conference on Distributed Computing Systems
Fast and quality-guaranteed data streaming in resource-constrained sensor networks
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
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RTSS '08 Proceedings of the 2008 Real-Time Systems Symposium
QVS: Quality-Aware Voice Streaming for Wireless Sensor Networks
ICDCS '09 Proceedings of the 2009 29th IEEE International Conference on Distributed Computing Systems
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Audio represents one of the most appealing yet least exploited modalities in wireless sensor networks, due to the potentially extremely large data volumes and limited wireless capacity. Therefore, how to effectively collect audio sensing information remains a challenging problem. In this paper, we propose a new paradigm of audio information collection based on the concept of audio-on-demand. We consider a sink-free environment targeting for disaster management, where audio chunks are stored inside the network for retrieval. The difficulty is to guarantee a high search success rate without infrastructure support. To solve the problem, we design a novel replication algorithm that deploys an optimal number of O([EQUATION]) replicas across the sensor network. We prove the optimality of the energy consumption of the algorithm, and use real test-bed experiments and extensive simulations to evaluate the performance and efficiency of our design. The experimental results show that our design can provide satisfactory quality of audio-on-demand service with short startup latency and slight playback jitter. Extensive simulation results show that this design achieves a search success rate of 98% while reducing the search energy consumption by an order of magnitude compared with existing schemes.