Optimal Configuration of Network Coding in Ad Hoc
Networks
ABSTRACT:
In this paper, we analyze
the impact of network coding (NC) configuration on the performance of ad hoc
networks with the consideration of two significant factors, namely, the throughput
loss and the decoding loss, which are jointly treated as the overhead of NC. In
particular, physical-layer NC and random linear NC are adopted in static and
mobile ad hoc networks (MANETs), respectively. Furthermore, we characterize the
goodput and delay/goodput tradeoff in static networks, which are also analyzed
in MANETs for different mobility models (i.e., the random independent and
identically distributed (i.i.d.) mobility model and the random walk model) and
transmission schemes (i.e., the two-hop relay scheme and the flooding scheme).
Moreover, the optimal configuration of NC, which consists of the data size,
generation size, and NC Galois field, is derived to optimize the delay/ goodput
tradeoff and goodput. The theoretical results demonstrate that NC does not
bring about order gain on delay/goodput tradeoff for each network model and
scheme, except for the flooding scheme in a random i.i.d. mobility model.
However, the goodput improvement is exhibited for all the proposed schemes in
mobile networks. To our best knowledge, this is the first work to investigate the
scaling laws of NC performance and configuration with the consideration of
coding overhead in ad hoc networks.
EXISTING SYSTEM:
v In
the last few years, significant efforts have been devoted to designing schemes
adopting NC, aiming at full utilization of network resources in applications
such as wireless ad hoc networks, peer-to-peer networks, etc.
v An
important work by Liu et al. introduced
the observation that only a constant factor of throughput improvement can be
brought about to k-dimensional
random static networks.
v Further
works by Zhang et al. analyzed
the delay, throughput (including the overhead of NC), and their tradeoff in
fast and slow mobility models for mobile ad hoc networks (MANETs) by employing random linear NC (RLNC). It was
indicated in their results that order improvement of throughput scaling laws
can be achieved by adopting RLNC in MANETs.
DISADVANTAGES
OF EXISTING SYSTEM:
·
Do not carry any valuable data
·
However, a significant factor, e.g.,
throughput loss, was not taken into account in these works.
PROPOSED SYSTEM:
v When
considering the given two factors, the traditional definition of throughput in
ad hoc networks is no longer appropriate since it does not consider the bits of
NC coefficients and the linearly correlated packets that do not carry any
valuable data. Instead, the goodput and the delay/goodput tradeoff are
investigated in this paper, which only take into account the successfully
decoded data.
v Although
there were some works focusing on throughput loss and decoding loss, in some
other networks, their impact on scaling laws in ad hoc networks is still a
challenging question. Moreover, if we treat the data size of each packet, the
generation size (the number of packets that are combined by NC as a group), and
the NC coefficient Galois field as the configuration of NC, it is necessary to
find the scaling laws of the optimal configuration for a given network model
and transmission scheme.
ADVANTAGES OF PROPOSED SYSTEM:
·
Consider the throughput loss and
decoding loss
·
Improve the data efficiency
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/LINUX.
Ø Implementation : NS2
Ø NS2 Version : NS2.2.28
Ø Front
End : OTCL (Object Oriented
Tool Command Language)
Ø Tool : Cygwin (To simulate in Windows OS)
REFERENCE:
Yi Qin, Feng Yang, Xiaohua Tian, Xinbing Wang, Member,
IEEE, Hanwen Luo, Haiquan Wang, Member, IEEE, and Mohsen Guizani, Fellow,
IEEE “Optimal Configuration of
Network Coding in Ad Hoc Networks”, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,
VOL. 64, NO. 5, MAY 2015.
