Ambient rendezvous: Energy efficient neighbor discovery via acoustic sensing

The continual proliferation of mobile devices has stimulated the development of opportunistic encounter-based networking and has spurred a myriad of proximity-based mobile applications. A primary cornerstone of such applications is to discover neighboring devices effectively and efficiently. Despite...

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Main Authors: WANG, Keyu, YANG, Zheng, ZHOU, Zimu, LIU, Yunhao, NI, Lionel M.
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Language:English
Published: Institutional Knowledge at Singapore Management University 2015
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Online Access:https://ink.library.smu.edu.sg/sis_research/4752
https://ink.library.smu.edu.sg/context/sis_research/article/5755/viewcontent/infocom15_wang.pdf
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spelling sg-smu-ink.sis_research-57552020-01-16T10:34:50Z Ambient rendezvous: Energy efficient neighbor discovery via acoustic sensing WANG, Keyu YANG, Zheng ZHOU, Zimu LIU, Yunhao NI, Lionel M. The continual proliferation of mobile devices has stimulated the development of opportunistic encounter-based networking and has spurred a myriad of proximity-based mobile applications. A primary cornerstone of such applications is to discover neighboring devices effectively and efficiently. Despite extensive protocol optimization, current neighbor discovery modalities mainly rely on radio interfaces, whose energy and wake up delay required to initiate, configure and operate these protocols hamper practical applicability. Unlike conventional schemes that actively emit radio tones, we exploit ubiquitous audio events to discover neighbors passively. The rationale is that spatially adjacent neighbors tend to share similar ambient acoustic environments. We propose AIR, an effective and efficient neighbor discovery protocol via low power acoustic sensing to reduce discovery latency. Especially, AIR substantially increases the discovery probability of the first time they turn the radio on. Compared with the state-of-the-art neighbor discovery protocol, AIR significantly decreases the average discovery latency by around 70%, which is promising for supporting vast proximitybased mobile applications. 2015-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4752 info:doi/10.1109/INFOCOM.2015.7218662 https://ink.library.smu.edu.sg/context/sis_research/article/5755/viewcontent/infocom15_wang.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Digital Communications and Networking Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Digital Communications and Networking
Software Engineering
spellingShingle Digital Communications and Networking
Software Engineering
WANG, Keyu
YANG, Zheng
ZHOU, Zimu
LIU, Yunhao
NI, Lionel M.
Ambient rendezvous: Energy efficient neighbor discovery via acoustic sensing
description The continual proliferation of mobile devices has stimulated the development of opportunistic encounter-based networking and has spurred a myriad of proximity-based mobile applications. A primary cornerstone of such applications is to discover neighboring devices effectively and efficiently. Despite extensive protocol optimization, current neighbor discovery modalities mainly rely on radio interfaces, whose energy and wake up delay required to initiate, configure and operate these protocols hamper practical applicability. Unlike conventional schemes that actively emit radio tones, we exploit ubiquitous audio events to discover neighbors passively. The rationale is that spatially adjacent neighbors tend to share similar ambient acoustic environments. We propose AIR, an effective and efficient neighbor discovery protocol via low power acoustic sensing to reduce discovery latency. Especially, AIR substantially increases the discovery probability of the first time they turn the radio on. Compared with the state-of-the-art neighbor discovery protocol, AIR significantly decreases the average discovery latency by around 70%, which is promising for supporting vast proximitybased mobile applications.
format text
author WANG, Keyu
YANG, Zheng
ZHOU, Zimu
LIU, Yunhao
NI, Lionel M.
author_facet WANG, Keyu
YANG, Zheng
ZHOU, Zimu
LIU, Yunhao
NI, Lionel M.
author_sort WANG, Keyu
title Ambient rendezvous: Energy efficient neighbor discovery via acoustic sensing
title_short Ambient rendezvous: Energy efficient neighbor discovery via acoustic sensing
title_full Ambient rendezvous: Energy efficient neighbor discovery via acoustic sensing
title_fullStr Ambient rendezvous: Energy efficient neighbor discovery via acoustic sensing
title_full_unstemmed Ambient rendezvous: Energy efficient neighbor discovery via acoustic sensing
title_sort ambient rendezvous: energy efficient neighbor discovery via acoustic sensing
publisher Institutional Knowledge at Singapore Management University
publishDate 2015
url https://ink.library.smu.edu.sg/sis_research/4752
https://ink.library.smu.edu.sg/context/sis_research/article/5755/viewcontent/infocom15_wang.pdf
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