中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
asm: adaptive voice stream multicast over low-power wireless networks

文献类型:期刊论文

作者Li Liqun ; Xing Guoliang ; Han Qi ; Sun Limin
刊名IEEE Transactions on Parallel and Distributed Systems
出版日期2012
卷号23期号:4页码:626-633
关键词Access control Algorithms Equipment testing Experiments Forestry Multicasting Trees (mathematics) Wireless networks
ISSN号1045-9219
中文摘要Low-power Wireless Networks (LWNs) have become increasingly available for mission-critical applications such as security surveillance and disaster response. In particular, emerging low-power wireless audio platforms provide an economical solution for ad hoc voice communication in emergency scenarios. In this paper, we develop a system called Adaptive Stream Multicast (ASM) for voice communication over multihop LWNs. ASM is composed of several novel components specially designed to deliver robust voice quality for multiple sinks in dynamic environments: 1) an empirical model to automatically evaluate the voice quality perceived at sinks based on current network condition; 2) a feedback-based Forward Error Correction (FEC) scheme where the source can adapt its coding redundancy ratio dynamically in response to the voice quality variation at sinks; 3) a Tree-based Opportunistic Routing (TOR) protocol that fully exploits the broadcast opportunities on a tree based on novel forwarder selection and coordination rules; and 4) a distributed admission control algorithm that ensures the voice quality guarantees when admitting new voice streams. ASM has been implemented on a low-power hardware platform and extensively evaluated through experiments on a test bed of 18 nodes. The experiment results show that ASM can achieve satisfactory multicast voice quality in dynamic environments while incurring low-communication overhead. © 2012 IEEE.
英文摘要Low-power Wireless Networks (LWNs) have become increasingly available for mission-critical applications such as security surveillance and disaster response. In particular, emerging low-power wireless audio platforms provide an economical solution for ad hoc voice communication in emergency scenarios. In this paper, we develop a system called Adaptive Stream Multicast (ASM) for voice communication over multihop LWNs. ASM is composed of several novel components specially designed to deliver robust voice quality for multiple sinks in dynamic environments: 1) an empirical model to automatically evaluate the voice quality perceived at sinks based on current network condition; 2) a feedback-based Forward Error Correction (FEC) scheme where the source can adapt its coding redundancy ratio dynamically in response to the voice quality variation at sinks; 3) a Tree-based Opportunistic Routing (TOR) protocol that fully exploits the broadcast opportunities on a tree based on novel forwarder selection and coordination rules; and 4) a distributed admission control algorithm that ensures the voice quality guarantees when admitting new voice streams. ASM has been implemented on a low-power hardware platform and extensively evaluated through experiments on a test bed of 18 nodes. The experiment results show that ASM can achieve satisfactory multicast voice quality in dynamic environments while incurring low-communication overhead. © 2012 IEEE.
学科主题Computer Science ; Engineering
收录类别EI ; SCI
资助信息Program of National Natural Science of China 60933011, 61073014; State Key Development Program for Basic Research of China 2011CB302902; US National Science Foundation (NSF) CNS-0916576
语种英语
WOS记录号WOS:000300981100007
公开日期2013-09-17
源URL[http://ir.iscas.ac.cn/handle/311060/14924]  
专题软件研究所_软件所图书馆_期刊论文
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Li Liqun,Xing Guoliang,Han Qi,et al. asm: adaptive voice stream multicast over low-power wireless networks[J]. IEEE Transactions on Parallel and Distributed Systems,2012,23(4):626-633.
APA Li Liqun,Xing Guoliang,Han Qi,&Sun Limin.(2012).asm: adaptive voice stream multicast over low-power wireless networks.IEEE Transactions on Parallel and Distributed Systems,23(4),626-633.
MLA Li Liqun,et al."asm: adaptive voice stream multicast over low-power wireless networks".IEEE Transactions on Parallel and Distributed Systems 23.4(2012):626-633.

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来源:软件研究所

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