Paper Info
Title
Opportunistic WiFi offloading in vehicular environment: A queueing analysis
Abstract
In this paper, we present an analytical framework for offloading cellular traffic by outdoor WiFi network in the vehicular environment. Specifically, we consider a generic vehicular user with Poisson data service arrivals to download/upload data from/to the Internet through the cost-effective WiFi network (want-to) or the cellular network providing full service coverage (have-to). Under this scenario, the WiFi offloading performance, characterized by offloading effectiveness, is analyzed in terms of desired average service delay which is the average time the data services can be deferred for WiFi availability. We establish an explicit relation between offloading effectiveness and average service delay by an M/G/l/K queueing model, and the tradeoff between the two is examined. We validate our analytical framework through simulations based on a VANET simulation tool VANETMobisim and real map data sets. Our analytical framework should be valuable for providing offloading guidelines to both vehicular users and network operators.
Year
DOI
Venue
2014
10.1109/GLOCOM.2014.7036809
GLOBECOM
Keywords
Field
DocType
vehicular environment,offloading cellular traffic,stochastic processes,real map data sets,cellular radio,vanet simulation,poisson data service,average service delay,queueing theory,vanetmobisim tool,m/g/l/k queueing model,cellular network,outdoor wifi network,vehicular ad hoc networks,internet,opportunistic wifi offloading performance,cost-effective wifi network,telecommunication traffic,wireless lan,queueing analysis,data models
Data modeling,Computer science,Upload,Cellular traffic,Computer network,Real-time computing,Queueing theory,Cellular network,Data as a service,Vehicular ad hoc network,The Internet
Conference
ISSN
Citations 
PageRank 
2334-0983
13
0.58
References 
Authors
6
5
Name
Order
Citations
PageRank
Nan Cheng197081.34
Ning Lu272737.36
Ning Zhang329917.82
Xuemin Shen415389928.67
Jon W. Mark52959257.52