qvs: quality-aware voice streaming for wireless sensor networks
文献类型：会议论文
| 作者 | Li Liqun ; Xing Guoliang ; Sun Limin ; Liu Yan |
| 出版日期 | 2009 |
| 会议名称 | 29th IEEE International Conference on Distributed Computing Systems |
| 会议日期 | JUN 22-26, |
| 会议地点 | Montreal, CANADA |
| 关键词 | disaster 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 |
| 英文摘要 | Recent 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. |
| 会议主办者 | IEEE |
| 会议录 | Proceedings - International Conference on Distributed Computing Systems
 |
| 会议录出版者 | 2009 29TH IEEE INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS |
| 会议录出版地 | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISSN号 | 1063-6927 |
| ISBN号 | 978-1-4244-4481-6 |
| 源URL | [http://124.16.136.157/handle/311060/8302]  |
| 专题 | 软件研究所_基础软件国家工程研究中心_会议论文 |
| 推荐引用方式 GB/T 7714 | Li Liqun,Xing Guoliang,Sun Limin,et al. qvs: quality-aware voice streaming for wireless sensor networks[C]. 见:29th IEEE International Conference on Distributed Computing Systems. Montreal, CANADA. JUN 22-26,. |
入库方式： OAI收割
来源：软件研究所
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