Opportunistic content dissemination performance in dense network segments

Teemu Kärkkäinen; Mika Välimaa; Esa Hyytiä; Jörg Ott

doi:10.1145/2979683.2979692

Opportunistic content dissemination performance in dense network segments

Teemu Kärkkäinen, Mika Välimaa, Esa Hyytiä, Jörg Ott

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Abstract

Many of the existing opportunistic networking systems have been designed assuming a small number links per node and have trouble scaling to large numbers of potential concurrent communication partners. In the real world we often find wireless local area networks with large numbers of connected users -- in particular in open Wi-Fi networks provided by cities, airports, conferences and other venues. In this paper we build a 50 client opportunistic network in a single Wi-Fi access point and use it to uncover scaling problems and to suggest mechanisms to improve the performance. The ability to scale to high density network segments creates new, realistic use cases for opportunistic networking applications.

Original language	English
Title of host publication	Proceedings of the Eleventh ACM Workshop on Challenged Networks
Subtitle of host publication	CHANTS '16
Publisher	ACM
Number of pages	6
ISBN (Electronic)	978-1-4503-4256-8
DOIs	https://doi.org/10.1145/2979683.2979692
Publication status	Published - 2016
MoE publication type	A4 Article in a conference publication
Event	ACM Workshop on Challenged Networks - New York, United States Duration: 3 Oct 2016 → 7 Oct 2016 Conference number: 11

Workshop

Workshop	ACM Workshop on Challenged Networks
Abbreviated title	CHANTS
Country	United States
City	New York
Period	03/10/2016 → 07/10/2016

Keywords

dense wireless networks
opportunistic networking
performance analysis
wireless testbed

Access to Document

10.1145/2979683.2979692

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Kärkkäinen, T., Välimaa, M., Hyytiä, E., & Ott, J. (2016). Opportunistic content dissemination performance in dense network segments. In Proceedings of the Eleventh ACM Workshop on Challenged Networks: CHANTS '16 ACM. https://doi.org/10.1145/2979683.2979692

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