Hd3312521256

Zaiba Ishrat , Pankaj Singh / International Journal of Engineering Research and Applications
(IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 3, May -June 2013, pp.1252-1256
1252 | P a g e
AN ENHANCED DSR PROTOCOL USING PATH RANKING
TECHNIQUE
1
Zaiba Ishrat ,2
Pankaj Singh
1
IIMT Engg.College,Meerut
2
Sidhi Vinayak College of Science & Higher Education ,Alwar
ABSTRACT
Mobile Adhoc networks are infra
structure-less and are categorized by multi-hop
wireless connectivity and dynamic changing
network topology. They are self organized
networks without dependency on any fixed
infrastructure. Application area of MANET is
varied, ranging from small, static networks to
large scale highly mobile and highly dynamic
networks. Routing is an important issue in
wireless adhoc networks. Routing protocols plays
a very important role because MANET use
dynamic changing network topology. Most
famous categories are Proactive, Reactive and
Hybrid. Proactive routing protocols setup route
based on continuous control traffic information.
All routes and maintained all the times. On the
other hand Reactive routing protocols does not
take any initiative for finding routes. It
establishes routes ‘on demand’ basis. Hybrid
protocol have the advantages of both proactive
and reactive protocol. In this paper, an attempt
has been made to compare performance of ZRP
(hybrid), DSDV (Proactive) and reactive (DSR
and modified DSR) on the basis of their
performance in MANETs using NS2 simulator. A
comparative study on reactive and proactive has
been done by some modification that how DSR
can be modified for its performance enhancement
from average to something extra to make
MANETs more reliable. To achieve this goal DSR
is modified by using route ranking technique in
order to load balancing, to avoid congestion and
lower packet delivery.
Keywords: Proactive protocol, Reactive protocol,
Hybrid protocol, NS2, Performance evaluation
I. INTRODUCTION
A mobile ad-hoc network is a collection of
wireless nodes that can communicate with each
other without any dependence on a fixed
infrastructure or centralized administration.
Therefore MANET is a “spontaneous network “that
automatically “emerges” when nodes gather
together. Each node in a MANET can perform as a
router and a host. Nodes in the MANET can
communicate with other all nodes within their radio
range or can use intermediates nodes to
communicate with the nodes that are not present in
their radio range. MANET is characterized by
dynamic topology, use unidirectional links,
constrained resources and network partitions. The
main two attributes are mobility and multihop
communication between the nodes. One tries to find
the route which has lower cost in comparison to
other routes in the network [1][2]. The nodes can
communicate directly with nodes in their range, or
communicate with nodes outside of their range by
using other nodes to forward their packets [1].
Nodes are free to move in any direction, at any time,
thus frequently make new links with other nodes.
Therefore Each nodes work as router. In
infrastructure dependent wireless networks access
Point are used for all the peer to peer communication
between existing nodes as shown in Fig1.But in Ad
hoc networks with the help of direct peer-to-peer
communications, all the routes are discovered and
established between the nodes without depending on
an infrastructure.
Fig 1. Ad Hoc Networks vs. Infrastructure Networks
[1]
1.1 Characteristics OF MANET
The mobile ad hoc networks have several
characteristics such as:
 Rapidly deployable and self-configuring
 Each nodes can work as hosts and routers
 No infrastructure dependency
 Wireless links are used for the
communication.
 Nodes are always in mobile condition.
 Routing updates very frequently
 Less physical security and bandwidth
constrained
1.2 Applications area of MANET

1253 | P a g e
MANET facilitates communication in different
fields such as:
 Military and police work
 Mine cite work
 Disaster relief work
 To arrange urgent business meeting
II. PROTOCOLS IN AD-HOC
NETWORKS
2.1 Destination-Sequenced Distance Vector
(DSDV)
DSDV is a Proactive protocol. Proactive
protocol maintains routing Information
independently of need for communication, Update
messages send throughout the network periodically
or when network topology changes. It provides Low
latency and suitable for real-time traffic but
Bandwidth might get wasted due to periodic updates
that is the main disadvantage of this. It maintain
O(N) state per node, N = #nodes.
DSDV was invented by Perkins and
Bhagvat in 1994. This is based on Bellman Ford
algorithm. Each node maintains routing tables and
exchange of routing tables with the neighbor’s nodes
by flooding. Routing table have the way to the
destination, cost. Each node advertises its position
that has Sequence number to avoid loops therefore
nodes continuously updates the table to provide the
fresh view of whole network. So every node knows
“where” everybody else is. Thus routing table O(N).
[4] DSDV works as follows [5][6]
In DSDV each node maintains a routing
table which stores next hop towards each
destination, cost metric for the path to each
destination, destination sequence number that is
created by the destination itself and sequence
numbers used to avoid formation of loops. Each
node periodically forwards this routing table to all its
neighbors. Each node increments and appends its
sequence number when sending its local routing
table. This sequence number will be attached to
route entries created for this node. The sequence
numbers assigned by the destination are generally
even. If the broken link is detected, then the metric is
assigned as infinity and the sequence number is
assigned to odd. In order to maintain consistency,
each node periodically broadcasts its route and
updates its routing table on the basis of received
information from the neighbor routing table.
2.2 Dynamic Source Routing (DSR)
DSR is reactive protocol. Reactive protocol
discovers route only when you need it means it
works on traffic demand. Therefore it saves energy
and bandwidth during inactivity. It supports bursty
data so congestion can occurs during high activity. It
offers significant delay as a result of route discovery.
For finding the route from source to destination ,
source node flood the route request packets, that
will transfer from one node to another until it
reaches to the destination. Destination node sends
the route reply packet for the confirmation of route
has been established.[5][6][7]
Dynamic Source Routing (DSR) divides the task of
routing into two phases that allows the discovery and
maintenance of routes. When node S(sender) wants
to send a packet to node D(destination), but does not
know a route to D, node S initiates a route discovery
Source node S floods Route Request (RREQ) Each
node appends own identifier when forwarding
RREQ. Destination D on receiving the first RREQ,
sends a Route Reply (RREP). RREP is sent on a
route obtained by reversing the route appended to
received RREQ.RREP includes the route from S to
D on which RREQ was received by node D.[5][7]
Node S on receiving RREP, caches the route
included in the RREP .When node S sends a data
packet to D, the entire route is included in the packet
header. Hence the name is source routing because
source define the route for transferring the data.
Intermediate nodes use the source route included in a
packet to determine to whom a packet should be
forwarded.
The optimization of DSR is Route cache.
Each node caches a new route it learns by any
means.e.g. When node S finds route [S, E, F, J, D] to
node D, node S also learns route [S, E, F] to node F.
When node K receives Route Request [S, C, G]
destined for node, node K learns route [K, G, C, S]
to node S. If a link is broken between the nodes than
node sends the route error packet to the sender to
inform the broken link, therefore sender again tries
to find out the new route by RREQ packet.
Fig 2.Building Record Route during Route
Discovery [7]
1
2
3
4
5
6
7
8
<1>
<1,2>
<1,3,5>
<1,3,5,7>
<1,4,6>
<1,4>
<1>
<1>
<1,3>
Source
Destination
1
2
3
4
5
6
7
8
<1,4,6>
<1,4,6>
<1,4,6>
Source Destination

1254 | P a g e
Fig 3 .Propagation of Route Reply with the Route
Record [7]
2.3 Zone Routing Protocol
Hybrid Routing is the combination of
proactive and reactive protocol. This attempts to
strike balance between the two protocols. ZRP falls
under the category of hybrid routing protocols with
both proactive and reactive routing components.
ZRP overcome the disadvantage of control overhead
caused by proactive protocol and also decreases the
latency in reactive protocols. It takes advantage of
proactive discovery within a node close immediacy/
local neighborhood, and using a reactive approach
for communication between these neighborhoods.
With this ZRP reduces the proactive scope to a zone
and reactive approach outside the zone. When a
node has a data packet for a particular destination, a
check is carried out whether a destination is within
its zone or not. Packet is routed proactively if it is
within the zone and if the destination is outside the
zone reactive routing is used.[5]
The zone is defined as a collection of nodes
whose minimum distance from the node in question
is not greater than a value known as “zone radius”.
Each node creates its own neighborhood separately.
The size of a zone is given by a radius of length β
where, β is number of hops to the perimeter of the
zone [5]. Each zone may have different size and
each node may lie within multiple overlapping
zones. ZRP avoids hierarchical map of the network
and the overhead involved in maintaining map by
dividing the network into variable size, overlapping
zones. [6][5].
III. MODIFICATION IN DSR
ROUTING PROTOCOL
While comparing original DSR with DSDV
and ZRP we notice that DSR gives better
performance at high TCP transmission rate but not
so much good at low rate [4]. Our main idea is to
modify DSR in such a way so that instead of simple
hop count as in DSR, a new routing metric decide a
route in Modified DSR (MDSR). This new routing
metric depends on assigning a ranking to a node so
that whole path can be ranked. So in case of
multiple paths from source to destination, a path
which has highest path ranking is chosen.
a) Path Ranking
On the basis of packet forwarding
successfully and dropping probability each node
maintains rank of every other node in the Ad-hoc
network. Path ranking is determined by taking
average of the rankings of each node in the path as
this allows choosing shortest path algorithm if no
metric is given to nodes. In case of more than one
(multiple) path to the destination a path with highest
ranking is chosen.
Algorithm for assigning rank to a node
1. For a neutral node, that is a new node, is given
a ranking of 0.5.
2. Ranking of each node is done with highest
ranking of 1.0 to make sure that if all are
neutral nodes then shortest path first is chosen.
3. For every 200ms the ranking of nodes on
active path is incremented by 0.01.
4. Neutral node ranking assigned 0.8.
5. Packet is dropped on a link and if a node
becomes un-reachable to other nodes than its
ranking is reduced by 0.05
6. Lower limit of a neutral node is assigned 0.0.
7. Changes on the rankings of other nodes than
one mentioned above are not performed.
8. Any misbehaving node given a ranking of -
100.
9. If the simulation is run for long period of time
then the negative rankings can be reset after a
long timeout period.
10. In case when no node is found that can be
given packet to forward, Send Route Request
is given.
Therefore, we will choose the path which is having
highest path metric .
IV. NS 2 SIMULATION AND
IMPLEMENTATION
Ns-2 is a discrete event simulator using in
networking research. It provides significant
support for simulation of TCP, routing and
multicast protocols over wired and wireless
networks. It consists of two simulation tools.
The network simulator (ns) contains all
commonly used IP protocols. The network
animator (nam) ,which is use to visualize the
simulations. Ns-2 can fully simulates a layered
network from the physical radio transmission
channel to high-level applications. Ns-2 is an
object-oriented simulator written in C++ and
OTcl. The simulator supports a class hierarchy
in C++ and a similar class hierarchy within the
OTcl interpreter. There is a one-to-one
correspondence between a class in the
interpreted hierarchy and one in the compile
hierarchy.[7][8]
Table 1 Simulation Parameters Used
Parameter Value
Platform Linux CentOS 5
NS Version Ns-2.33
Mobility Model Random Way Point
Traffic Type CBR
Area 500 * 500 m
Experiment Duration 150 sec
MAC Layer Protocol Mac/802_11
Packet Size 512 bytes

1255 | P a g e
Radio Propagation TwoRayGround
Packet Interval 0.2 second
Protocols DSDV, DSR, ZRP,
Modified DSR
Antenna Type OmniAntenna
Packet Size 512 bytes
Pause Time 5, 10, 20, 40, 100
Number of nodes 10, 20, 30, 40, 50
4.1Performance Metric
1. Packet Delivery Fraction: It is defined as the
ratio of all received packets at the destinations to all
transmitted packets from CBR source. The packet
delivery ratio is the fraction of packets that
successfully arrive at their destination.
2. Throughput: It is defined as the ratio of data
packets received to the destination to those
generated by source. Throughput is average rate of
packets successfully transferred to their final
destination per unit time.
3. End-to-End Delay: It is the average delay time
for a data packet travelling from its source to
destination. It signifies the amount of time taken by
packet from source to destination. The delay time of
all successfully received packets is summed, and
then the average delay time is calculated
All the above mentioned performance metrics are
quantitatively measured. For a good routing
protocol, throughput should be high where as other
three parameters value should be less. We used the
above performance metrics and quantitatively
measured against number of nodes and pause time.
V. RESULT AND DISCUSSION
In this paper we analyze the packet delivery
faction ratio, ends to end delay and throughput of
routing protocol against the number of nodes and
pause time.
5.1 Packet Delivery Fraction
Figure 5.1(a) show that all routing protocols
have higher packet delivery ratio when number of
nodes is less, but as number of nodes increases
packet delivery fraction decreases. The main reason
for this loss is packet collisions, invalid routes, or
packet drops. However it is evident from the graph
that after doing the modification in DSR its packet
delivery fraction increases as compared to existing
DSR.
Fig 5.1(a) Packet Delivery fraction Vs number of
Nodes
From figure 5.1(b) it is evident that Packet Delivery
Fraction is more when pause time is less and as
pause time increases Packet Delivery Fraction tends
to decrease. but MDSR shows better performance.
Fig 5.1(b) Packet Delivery Fraction Vs Pause time
5.2 End To End Delay
It is shown from the graph that average
end-to-end delay is lower when number of nodes is
lower and it increase when number of node
increases. It is clear from the graph that after doing
the modification in DSR it is showing less average
end-to-end delay. A same condition exist in case of
pause time.
0
20
40
60
80
100
120
10 20 30 40 50
packetDelieveryfraction
Number of Nodes
DSDV
DSR_new
ZRP
DSR
0
0.2
0.4
0.6
0.8
1
1.2
5 10 20 40 100
PacletDelieveryFraction
Pause Time
DSDV
DSR_new
ZRP
DSR
0
500
1000
1500
2000
10 20 30 40 50
EndToEndDelay
Number Of Nodes
DSDV
DSR_new
ZRP
DSR

1256 | P a g e
Fig 5.2(a) End to End delay Vs Number of Nodes
Fig 5.2(b) End To End Delay Vs Pause Time
5.3 Throughput
It is shown by the graph that throughput is
less when number of nodes is lower and it increase
when number of node increases. It is clear from the
graph that after doing the modification in DSR it is
showing increased throughput as compared to
existing DSR.
Fig 5.3(a) Throughput Vs Number of Nodes
After comparing the throughput against the
pause time , throughput increase for less number of
nodes in MDSR. Fig 5.3(b)
Fig 5.3(b) Throughput Vs Pause Time
VI. CONCLUSION
In this study we have concluded that each
protocol performs well in some cases while have
drawbacks in other cases. We also use the concept of
path ranking in DSR and shown that it has very
good effect on the performance of existing DSR.
Simulation results demonstrated in terms of
throughput, end-to-end delay and packet delivery
fraction against number of nodes and pause time
shows that the modified DSR performs lot better as
compared to existing DSR.
References
[1] Chai-Keong Toh. Ad Hoc Mobile Wireless
Networks. Prentice Hall PTR, Upper Saddle
River, New Jersey, 2002.
[2] D. Kim, J. Garcia and K. Obraczka,
“Routing Mechanisms for Mobile Ad Hoc
Networks based on the Energy Drain Rate”,
IEEE Transactions on Mobile Computing.
Vol 2, no 2, 2003, pp.51-173.
[3] Dr. Jitendrnath Mungara and Sree Ranga
Raju, 2010. “ZRP versus AODV and DSR :
A Comprehensive Study on ZRP
Performance” International Journal of
Computer Applications (09758887)
Volume 1, No. 12.
[4] Dr. M.Nagendra, G.Vijaya Kumar and
Y.Vasudeva, 2010. “ Current Research
Work on Routing Protocols for MANET: A
Literature Survey” International Journal on
Computer Science and Engineering Vol. 02,
No. 03, 706-713.
[5] J.C. Kavitha, 2010. Fundamentals of
Mobile Computing. New Delhi, ACME
LEARNING PRIVATE LIMITED.
[6] Dr. M.Nagendra, G.Vijaya Kumar and
Y.Vasudeva, 2010. “ Current Research
Work on Routing Protocols for MANET: A
Literature Survey” International Journal on
Computer Science and Engineering Vol. 02,
No. 03, 706-713.
[7] The network simulator - ns-2,
http://www.isi.edu/nsnam/ns/.
[8] Abhishek Swaroop and Kavita Pandey,
November 2011. “A Comprehensive
Performance Analysis of Proactive,
Reactive and Hybrid MANETs Routing
Protocols” IJCSI International Journal of
Computer Science Issues, Vol. 8, Issue 6,
No. 3.
[9] Manijeh Keshtgary and Vahide BaBaiyan,
“Performance Evaluation of Reactive,
Proactive and Hybrid Protocols in
MANET” International Journal on
Computer Science and Engineering
(IJCSE).
0
50
100
150
200
250
300
5
10
20
40
100
EndToEndDelay
Pause Time
DSDV
DSR_new
ZRP
DSR
0
50
100
150
200
250
300
10 20 30 40 50
Throughput
Number Of Nodes
DSDV
DSR_new
ZRP
DSR
0
50
100
150
200
250
300
350
5 10 20 40 100
Throughput
Pause Time
DSDV
DSR_new
ZRP
DSR

Hd3312521256

More Related Content

What's hot (18)

Viewers also liked (20)

Similar to Hd3312521256 (20)

Recently uploaded (20)

Hd3312521256