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qvs: quality-aware voice streaming for wireless sensor networks
Li Liqun; Xing Guoliang; Sun Limin; Liu Yan
2009
Conference Name29th IEEE International Conference on Distributed Computing Systems
SourceProceedings - International Conference on Distributed Computing Systems
Conference DateJUN 22-26,
Conference PlaceMontreal, CANADA
Publish Place345 E 47TH ST, NEW YORK, NY 10017 USA
Publisher2009 29TH IEEE INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS
ISSN1063-6927
ISBN978-1-4244-4481-6
DepartmentLi, Liqun; Sun, Limin Chinese Acad Sci, Inst Software, Beijing 100864, Peoples R China.
English AbstractRecent years have witnessed the pilot deployments of audio or low-rate video wireless sensor networks for a class of mission-critical applications including search and rescue, security, surveillance, and disaster management. In this paper, we report the design and implementation of Quality-aware Voice Streaming (QVS) for wireless sensor networks. QVS is built upon SenEar, a new sensor hardware platform we developed for high-bandwidth wireless audio communication. QVS comprises several novel components, which include an empirical model for online voice quality, evaluation and control, dynamic voice compression/duplication adaptation for lossy wireless links, and distributed stream admission control that exploits network capacity for rate allocation. We have extensively tested QVS on a 20-node network deployment. Our experimental results show that QVS delivers satisfactory, voice quality under a range of realistic settings while achieving high network capacity utilization.
KeywordDisaster Management Duplication Adaptation Dynamic Voice Compression Quality-aware Voice Streaming Security Surveillance Voice Quality Evaluation Wireless Audio Communication Wireless Sensor Networks Audio Streaming Wireless Sensor Networks
SponsorshipIEEE
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/8302
Collection基础软件国家工程研究中心
Recommended Citation
GB/T 7714
Li Liqun,Xing Guoliang,Sun Limin,et al. qvs: quality-aware voice streaming for wireless sensor networks[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:2009 29TH IEEE INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS,2009.
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