Pervasive edge data sharing in MANET

Xintong Song; Yaodong Huang; Qian Zhou; Fan Ye; Yuanyuan Yang; Xiaoming Li

doi:10.1109/INFCOMW.2017.8116365

Pervasive edge data sharing in MANET

Xintong Song
, Yaodong Huang
, Qian Zhou
, Fan Ye
, Yuanyuan Yang
, Xiaoming Li

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

The proliferation and daily congregation of modern mobile devices have created abundant opportunities for peer edge devices to share valuable data with each other. The short contact durations, relatively small sharing sizes, and uncertain data availability, demand agile, light weight peer based data sharing. In this paper, we propose Peer Data Sharing (PDS) that enables edge devices to discover which data exist in nearby peers, and retrieve interested data robustly and efficiently. We use Wi-Fi ad hoc network as an example to demonstrate that PDS can leverage different underlying network and link technologies with proper adaption. Extensive evaluations show that PDS discovers and retrieves almost 100% data in tens of seconds, and remains robust despite wireless contention, simultaneous consumer requests and user mobility. © 2017 IEEE.

Original language	English
Title of host publication	2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017
Publisher	IEEE
Pages	133-138
ISBN (Print)	9781538627846
DOIs	https://doi.org/10.1109/INFCOMW.2017.8116365
Publication status	Published - 20 Nov 2017
Externally published	Yes
Event	2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017 - Atlanta, United States Duration: 1 May 2017 → 4 May 2017

Publication series

Name	2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017

Conference

Conference	2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017
Place	United States
City	Atlanta
Period	1/05/17 → 4/05/17

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

The work in this paper was supported in part by the grant from US National Science Foundation under grant number CSR-1513719.

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10.1109/INFCOMW.2017.8116365

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title = "Pervasive edge data sharing in MANET",

abstract = "The proliferation and daily congregation of modern mobile devices have created abundant opportunities for peer edge devices to share valuable data with each other. The short contact durations, relatively small sharing sizes, and uncertain data availability, demand agile, light weight peer based data sharing. In this paper, we propose Peer Data Sharing (PDS) that enables edge devices to discover which data exist in nearby peers, and retrieve interested data robustly and efficiently. We use Wi-Fi ad hoc network as an example to demonstrate that PDS can leverage different underlying network and link technologies with proper adaption. Extensive evaluations show that PDS discovers and retrieves almost 100\% data in tens of seconds, and remains robust despite wireless contention, simultaneous consumer requests and user mobility. {\textcopyright} 2017 IEEE.",

author = "Xintong Song and Yaodong Huang and Qian Zhou and Fan Ye and Yuanyuan Yang and Xiaoming Li",

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Song, X, Huang, Y, Zhou, Q, Ye, F, Yang, Y & Li, X 2017, Pervasive edge data sharing in MANET. in 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017., 8116365, 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017, IEEE, pp. 133-138, 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017, Atlanta, United States, 1/05/17. https://doi.org/10.1109/INFCOMW.2017.8116365

Pervasive edge data sharing in MANET. / Song, Xintong; Huang, Yaodong; Zhou, Qian et al.
2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017. IEEE, 2017. p. 133-138 8116365 (2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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AU - Li, Xiaoming

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

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N2 - The proliferation and daily congregation of modern mobile devices have created abundant opportunities for peer edge devices to share valuable data with each other. The short contact durations, relatively small sharing sizes, and uncertain data availability, demand agile, light weight peer based data sharing. In this paper, we propose Peer Data Sharing (PDS) that enables edge devices to discover which data exist in nearby peers, and retrieve interested data robustly and efficiently. We use Wi-Fi ad hoc network as an example to demonstrate that PDS can leverage different underlying network and link technologies with proper adaption. Extensive evaluations show that PDS discovers and retrieves almost 100% data in tens of seconds, and remains robust despite wireless contention, simultaneous consumer requests and user mobility. © 2017 IEEE.

AB - The proliferation and daily congregation of modern mobile devices have created abundant opportunities for peer edge devices to share valuable data with each other. The short contact durations, relatively small sharing sizes, and uncertain data availability, demand agile, light weight peer based data sharing. In this paper, we propose Peer Data Sharing (PDS) that enables edge devices to discover which data exist in nearby peers, and retrieve interested data robustly and efficiently. We use Wi-Fi ad hoc network as an example to demonstrate that PDS can leverage different underlying network and link technologies with proper adaption. Extensive evaluations show that PDS discovers and retrieves almost 100% data in tens of seconds, and remains robust despite wireless contention, simultaneous consumer requests and user mobility. © 2017 IEEE.

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Pervasive edge data sharing in MANET

Abstract

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