TY - JOUR
T1 - Practical opportunistic content dissemination performance in dense network segments
AU - Kärkkäinen, Teemu
AU - Välimaa, Mika
AU - Roy, Shourov Kumar
AU - Hyytiä, Esa
AU - Ott, Jörg
N1 - | openaire: EC/H2020/644663/EU//RIFE
PY - 2018
Y1 - 2018
N2 - 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 of single segment dissemination. Further, we present an algorithm for breaking down a single dense segment dissemination problem into multiple smaller but identical problems by exploiting resource (e.g., Wi-Fi channel) diversity, and validate our approach via simulations and testbed experiments. The ability to scale to high density network segments creates new, realistic use cases for opportunistic networking applications.
AB - 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 of single segment dissemination. Further, we present an algorithm for breaking down a single dense segment dissemination problem into multiple smaller but identical problems by exploiting resource (e.g., Wi-Fi channel) diversity, and validate our approach via simulations and testbed experiments. The ability to scale to high density network segments creates new, realistic use cases for opportunistic networking applications.
KW - Dense wireless networks
KW - Opportunistic networking
KW - Performance analysis
KW - Wireless testbed
UR - http://www.scopus.com/inward/record.url?scp=85044334782&partnerID=8YFLogxK
U2 - 10.1016/j.comcom.2018.03.013
DO - 10.1016/j.comcom.2018.03.013
M3 - Article
AN - SCOPUS:85044334782
SN - 0140-3664
VL - 123
SP - 65
EP - 80
JO - Computer Communications
JF - Computer Communications
ER -