Affiliation:
1. Chinese Academy of Sciences and Michigan State University
2. Michigan State University
3. Chinese Academy of Sciences, China
4. Peking University, China
Abstract
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 article, 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.
Funder
Chinese Academy of Sciences
National Natural Science Foundation of China
Ministry of Science and Technology of the People's Republic of China
Division of Computer and Network Systems
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications
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