An Incentive Framework for Cellular Traffic Offloading
ABSTRACT:
Cellular
networks (e.g., 3G) are currently facing severe traffic overload problems
caused by excessive traffic demands. Offloading part of the cellular traffic
through other forms of networks, such as Delay Tolerant Networks (DTNs) and
WiFi hotspots, is a promising solution. However, since these networks can only
provide intermittent connectivity to mobile users, utilizing them for cellular
traffic offloading may result in a nonnegligible delay. As the delay increases,
the users’ satisfaction decreases. In this paper, we investigate the tradeoff
between the amount of traffic being offloaded and the users’ satisfaction. We
provide a novel incentive framework to
motivate users to leverage their delay tolerance for cellular traffic
offloading. To minimize the incentive cost given an offloading target, users
with high delay tolerance and large offloading potential should be prioritized
for traffic offloading. To effectively capture the dynamic characteristics of
users’ delay tolerance, our incentive framework is based on reverse auction to
let users proactively express their delay tolerance by submitting bids. We
further illustrate how to predict the offloading potential of the users by
using stochastic analysis for both DTN
and WiFi cases. Extensive trace-driven simulations verify the efficiency of
our incentive framework for cellular traffic offloading.
EXISTING SYSTEM:
Existing
offloading studies have not considered the satisfaction loss of the users when
a longer delay is caused by traffic offloading.
DISADVANTAGES
OF EXISTING SYSTEM:
Ø Not considered the satisfaction loss of the users when
a longer delay is caused by traffic offloading.
Ø Only provide intermittent and opportunistic network
connectivity to the users.
Ø Non-negligible data downloading delay.
PROPOSED SYSTEM:
In this paper,
we focus on investigating the trade-off between the amount of traffic being
offloaded and the users’ satisfaction, and propose a novel incentive framework
to motivate users to leverage their delay tolerance for traffic offloading. Users
are provided with incentives; i.e., receiving discount for their service charge
if they are willing to wait longer for data downloading. During the delay, part
of the cellular data traffic may be opportunistically off-loaded to other
networks mentioned above, and the user is assured to receive the remaining part
of the data via cellular network when the delay period ends.
ADVANTAGES
OF PROPOSED SYSTEM:
Ø To motivate the mobile users with high delay tolerance
and large offloading potential to offload their traffic to other intermittently
connected networks such as DTN or WiFi hotspots.
Ø To capture the dynamic characteristics of users’ delay
tolerance.
Ø To predict users’ offloading potential based on their
mobility patterns and the geographical distribution of WiFi hotspots in the
WiFi case.
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SYSTEM
ARCHITECTURE:
SYSTEM
REQUIREMENTS:
HARDWARE REQUIREMENTS:
Ø
System : Pentium IV 2.4 GHz.
Ø
Hard Disk :
40 GB.
Ø
Floppy Drive : 1.44
Mb.
Ø
Monitor : 15
VGA Colour.
Ø
Mouse :
Logitech.
Ø Ram : 512 Mb.
SOFTWARE
REQUIREMENTS:
Ø Operating system : Windows
XP/7.
Ø Coding Language : JAVA/J2EE
Ø IDE : Netbeans 7.4
Ø Database : MYSQL
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