Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
5-2015
Abstract
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.
Discipline
Digital Communications and Networking | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
Proceedings of the 34th IEEE International Conference on Computer Communications, Hong Kong, 2015 April 26 May 1
First Page
2704
Last Page
2712
Identifier
10.1109/INFOCOM.2015.7218662
Publisher
IEEE
City or Country
Hong Kong, China
Citation
WANG, Keyu; YANG, Zheng; ZHOU, Zimu; LIU, Yunhao; and NI, Lionel M..
Ambient rendezvous: Energy efficient neighbor discovery via acoustic sensing. (2015). Proceedings of the 34th IEEE International Conference on Computer Communications, Hong Kong, 2015 April 26 May 1. 2704-2712.
Available at: https://ink.library.smu.edu.sg/sis_research/4752
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/INFOCOM.2015.7218662