Title
Upstream content scheduling in Wi-Fi Densenets during large-scale events Upstream content scheduling in Wi-Fi Densenets during large-scale events
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Publication type
conferenceObject
Publication
New york :Ieee ,
Subject
Computer. Automation
Source (journal)
2015 IEEE GLOBECOM WORKSHOPS (GC WKSHPS)
Source (book)
IEEE Globecom Workshops (GC Wkshps), DEC 06-10, 2015, San Diego, CA
Volume/pages
(2015) , 7 p.
ISBN
978-1-4673-9526-7
ISI
000380457400173
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
The smartphone revolution and widespread availability of wireless LAN and mobile Internet technologies has changed the way people interact with the world. These technologies can be exploited by event organisers to boost audience involvement and immersion, for example, by integrating user-generated content into the event experience. In this paper, we developed a large-scale event participation platform for the wireless transmission of user-generated videos to be used during the event. Such events often bring together thousands of users on a small geographical area and providing wireless connectivity in such dense environments is highly challenging. We analysed the efficiency of several upload scheduling strategies in WiFi DenseNets based on extensive experiments performed in a shielded lab environment. We showed that intelligent scheduling improved throughput over 20% compared to uncoordinated uploading in a dense network, with more expected gains when the density would further increase. Moreover, we also calculated the theoretical scalability of the platform. Based on our results, we confirm the importance of content scheduling to efficiently utilise WLAN technologies in highly dense environments.
E-info
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http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000380457400173&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
Full text (open access)
https://repository.uantwerpen.be/docman/irua/8f33de/131333.pdf
Handle