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 WiFihotspots.
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.
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
REFERENCE:
Xuejun Zhuo, Wei
Gao, Guohong Cao, and Sha Hua, “An
Incentive Framework for Cellular Traffic Offloading”, IEEE TRANSACTIONS ON MOBILE
COMPUTING, VOL. 13, NO. 3, MARCH 2014
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