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Subject: Computer Science ; Engineering
Title:
asm: adaptive voice stream multicast over low-power wireless networks
Author: Li Liqun ; Xing Guoliang ; Han Qi ; Sun Limin
Keyword: Access control ; Algorithms ; Equipment testing ; Experiments ; Forestry ; Multicasting ; Trees (mathematics) ; Wireless networks
Source: IEEE Transactions on Parallel and Distributed Systems
Issued Date: 2012
Volume: 23, Issue:4, Pages:626-633
Indexed Type: EI ; SCI
Department: (1) Institute of Software Chinese Academy of Sciences Graduated University of Chinese Academy of Sciences 4# South Fourth Street Zhong Guan Cun Beijing 100190 China; (2) Department of Computer Science and Engineering Michigan State University 3115 Engineering Building East Lansing MI 48824-1226 United States; (3) Department of Math and Computer Sciences Colorado School of Mines 1015 14th Street Golden CO 80401 United States; (4) Institute of Software Chinese Academy of Sciences 4# South Fourth Street Zhong Guan Cun Beijing 100190 China
Sponsorship: 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
Abstract: 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.
English Abstract: 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.
Language: 英语
WOS ID: WOS:000300981100007
Citation statistics:
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/14924
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
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,2012-01-01,23(4):626-633.
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