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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Performance of AODV, DSR and ZRP for Different Mobility Model in MANET</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Suresh Kumar</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Rakesh Sidharth</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>ECE Department, University Institute of Engineering and Technology (UIET) MDU</institution>
          ,
          <addr-line>Rohtak, Haryana</addr-line>
          ,
          <country country="IN">India</country>
        </aff>
      </contrib-group>
      <fpage>161</fpage>
      <lpage>167</lpage>
      <abstract>
        <p>In Mobile ad-hoc Network (MANET), all nodes are self-organized and self-motivated. These mobile nodes are connected to each other mostly by a wireless link. The schedule of mobility of these nodes are not fixed and hence not pre-planned. It keeps changing randomly based on the application. Each Routing protocol (RP) have definite advantages and disadvantages for a particular chosen performance parameters. In this present paper we have modelled and evaluated the performance of Routing protocols i.e., Ad-hoc on Demand Distance Vector (AODV), Dynamic Source Routing (DSR) and Zone Routing Protocol (ZRP) with various Mobility models (MMs) namely Random Walk Mobility (RWM), Random Way Point Mobility (RWPM), Group Mobility (GM) and File Base Mobility (FBM). The evaluation parameters selected are Throughput (mbps), Delay (microsecond) for a configuration of 10and 20 number of nodes by using NETSIM Simulator.</p>
      </abstract>
      <kwd-group>
        <kwd>1 AODV</kwd>
        <kwd>DSR</kwd>
        <kwd>ZRP</kwd>
        <kwd>Mobility Model</kwd>
        <kwd>Netsim</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        In MANET, Routing protocols (RPs) are divided into two parts: one is unique path RPs and
another is multiple path RPs. AODV, DSR and ZRP are under unique path RPs. AODV and DSR are
Reactive RPs and ZRP is hybrid RP. Reactive RPs can also be denoted as on demand routing
protocol. These Reactive RPs protocols basically work on two things: (i) Route discovery and (ii)
Route maintenance. Whereas the process of route discovery gets executed when routes are required in
the event of disruption of the link between source and destination and has resulted in link failure. This
will lead to commencement of the route search process [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. These are mainly (i)AODV (ii) Light
Weight Mobile Routing (LMR), (iii) Associativity-Based Routing (ABR) (iv)Temporally Ordered
Routing Algorithm (TORA) (v) DSR, etc. Hybrid RPs are combination of both proactive and reactive
protocols. Few example of these are: (i) ZRP (ii) Zone-Based Hierarchical Link State (ZHLS)
(iii)Distributed Spanning Trees based routing protocol (DST) (iv) Distributed Dynamic Routing
(DDR) (v) Scalable Location Update routing protocol (SLU) etc.[
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. Each RPs have definite
advantages and disadvantages. In the present research the focus has been on AODV, DSR and ZRP
protocols for this present modelled MANET scenario. The goal of this present paper is to find out the
performance of AODV, DSR and ZRP with multiple MMs such as RWM, RWPM, GM and FBM in
term of Throughput and Delay for 10 and 20 nodes. Many places where the MANET have wide
applications are comprises of Defence, Military, War zone, Farming, Medical Robotics automation
etc. [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ].
      </p>
      <p>This paper is organized in the order such that the latest research works are given in Section II and
the proposed work is explained in Section III. Section IV presents the results and discussion of the
simulated work. The overall output of this scenario is summarized in Section V.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Updated Research Work</title>
      <p>
        In [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ] authors analysed the performance of AODV and ZRP RPs at different speed. The simulation
results were calculated for End to End delay, Throughput, Queue length and Drop packets. Author
used Qualnet Simulator for analysis. On the bases of simulation output, AODV performed better than
ZRP.
      </p>
      <p>
        In [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ] the authors have compared the performance of AODV and AOMDV RPs for 40, 80, 120
nodes at maximum speed of 10m/s. The performance metrics evaluated parameters chosen are
throughput (b/s) and average end to end delay (second). Authors found performance of AOMDV is
good in all output parameter as compared to AODV RPs.
      </p>
      <p>
        In [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ] the authors compared AODV, AOMDV and DSDV. Based on the simulation result, authors
analysed that AODV perform better in terms of the (i) throughput, (ii) RO. It has also been seem that
while checking the packet delivery ratio and (iv) packet loss, AOMDV is more reliable. For Delay,
DSDV is more credible than AODV and AOMDV.
      </p>
      <p>
        In this paper [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ] Authors Described three energy model such as Generic, Micaz and Micamotes for
transmitting mode and receiving mode using AODV and Dynamic MANET on Demand (DYMO)
RPs. On the basis of simulation outcome authors found that AODV RPs perform better in Micamotes
energy model than other energy model. For throughput and AEED, AODV also performs well.
      </p>
      <p>
        In [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ] the authors evaluated AODV RPs for Throughput, jitter, AEED, Total packet received and
Energy expenditure models. On the basis of Qualnet Simulation Outputs, It has been observed that
jitter is high in Micaz model. In transmitting and receiving mode, Energy consumption of Micamotes
is very less as compared to other energy models.
      </p>
      <p>
        In [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ] the authors used Qualnet simulator version 5.0.2 for simulation. And they compared the
performance for: AODV, DSR and ZRP based on CONSTANT BIT RATE (CBR). The performance
evaluated in terms of first &amp; last Packet transmit (second), Total bytes &amp; packet transmit, Throughput
client &amp; Server (bits/second), First &amp; last Packet received (second), Total received bytes. They found
that these RPs performed good at constant bit rate.
      </p>
    </sec>
    <sec id="sec-3">
      <title>3. Proposed Model</title>
      <p>In this proposed network model, simulation is done using NETSIM with Version 9.0. All the
essential work parameters chosen are described in the table 1.</p>
      <p>The performance evaluated of these protocols: AODV, DSR and ZRP with multiple MMs namely
RWM, RWPM, GMP and FBM in term of throughput and delay. The performance is calculated for
two different set of 10 and 20 nodes in area of 700*700 meter2. The application applied between
source and destination is CBR type. The maximum speed of nodes is 15 m/s in this network scenario.
In 10 and 20 nodes network scenario. First among the nodes will be acting as source and final node in
the chain as destination node. All nodes are connected to each other by a wireless link. MANET
scenario with 10 nodes is presented in figure. 2 and with 20 nodes is presented in figure. 3
respectively.</p>
    </sec>
    <sec id="sec-4">
      <title>4. Results &amp; Discussions</title>
      <p>
        4.1 Throughput: Total number of data bit is transferred in specific time duration from Source to
destination is called Throughput and It is measured in mbps. It represents the state of transmitted
information rate in the network [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ].Its represented in equation.1
Mathematically
 ℎ
ℎ
=
(1)
4.2 Delay: It is the time collected by the data to travel from transmitter to receiver in the network. It
is calculated in microsecond. Various types of delay are included in Delay such as route finding,
propagation and retransmission etc. [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ].
      </p>
      <p>Case 1: No. of nodes 10</p>
      <p>In this MANET scenario shown in Figure 4, while calculating the throughput verses mobility, it is
observed that for DSR, Throughput are 0.583903, 0.583903, 0.583903 and 0.583903. For AODV,
Throughput are 0.584584, 0.584487, 0.583903 and 0.583903. For ZRP, Throughput are 0.572612,
0.100837, 0.567745 and 0.0567648 for RWM, RWPM, GM and FBM respectively.</p>
      <p>Throughput Vs Mobility for 10 nodes</p>
      <p>Throughput of the AODV and DSR with all mobility model is almost same. But for ZRP,
throughput is less for all mobility model except for group mobility. From overall performance seen
through result is that the AODV and DSR is more reliable than ZRP.</p>
      <p>On the basis of simulation outcomes to measure the Delay verses mobility as shown in Figure 5, it
has been found that for DSR, Delay are 12862.28476, 12862.3644, 12860.25648 and 12861.45009.
For AODV, Delay are 16613.86295, 16232.52069, 16254.82639 and 16107.94337. For ZRP, Delay
are 21593.59712, 93018.86365, 18061.32 and 17285.52525 for RWM, RWPM, GM and FBM
respectively.</p>
      <p>Delay Vs Mobility for 10 nodes</p>
      <p>In this new scenario shown in Figure 6, while calculating the throughput verses mobility, it is
observed that for DSR, throughput are 0.583903 , 0.583903 , 0.583903 and 0.583903, for AODV,
Throughput are 0.585071 , 0.58692 , 0.583903 and 0.592663. For ZRP, Throughput are 0.049543,
0.015379, 0.573585 and 0.056259 for RWM, RWPM, GM and FBM respectively.</p>
      <p>RW</p>
      <p>From Simulation Result, outcomes to measure the Delay verses mobility as shown in Figure 7, it
has been found that for DSR, Delay are 12924.63905, 13613.1403, 14741.00849 and 13610.61842.
For AODV, Delay are 19868.04275, 20871.71512, 18846.58386 and 24180.38182. For ZRP, Delay
are 90279.63851, 21882.57866, 86130.1058 and 91064.24325 for RWM, RWPM, GM and FBM
respectively.</p>
      <p>Delay Vs Mobility for 20 nodes</p>
      <p>Throughput Vs Mobility for 20 nodes
0.7
t0.6
pu0.5</p>
      <p>In 10 nodes, DSR, AODV and ZRP RPs are used to calculate the performance for these MMs. In
the results, throughput is high and delay is low in DSR as compared to both AODV and ZRP RPs.
Throughput of AODV is much closed to DSR but it is less. Therefore DSR is best in both throughput
and Delay metrics with these MMs. In case of 20 nodes, we repeat same process and observed that
throughput is high in AODV, DSR than ZRP RPs. For delay, DSR have low delay compared to other
RPs. So DSR is also best for 20 nodes with these MMs. Therefore we can say that DSR performed
well for these MMs with increase in number of nodes.</p>
    </sec>
    <sec id="sec-5">
      <title>5. Conclusion</title>
      <p>In this present research paper, the Comparison of the performance of AODV, DSR and ZRP
routing protocols with multiple MMs namely RWM, RWPM, GM and FBM in terms of the
throughput (mbps) and delay (microsecond) for a configuration of 10 and 20 nodes has been
presented. These outcome of the performance metrics vary with all MMs. For ZRP, both throughput
and delay are highly unstable with some MMs. But in the case of DSR and AODV, the results are
stable. After deeply analysis of simulation results, we found that the performance of DSR is more
reliable and efficient than both AODV and ZRP RPs with all types of mobility models.</p>
    </sec>
    <sec id="sec-6">
      <title>6. References</title>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          1.
          <string-name>
            <surname>Kumar</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kumar</surname>
            ,
            <given-names>C. D. S.</given-names>
          </string-name>
          (
          <year>2015</year>
          ).
          <article-title>Study of MANET: Characteristics, Challenges, Application, Routing Protocol and Security Attacks</article-title>
          .
          <source>INTERNATIONAL, JOURNAL</source>
          ,
          <volume>2</volume>
          (
          <issue>5</issue>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          2.
          <string-name>
            <surname>Ekwe</surname>
            ,
            <given-names>O. A.</given-names>
          </string-name>
          ,
          <string-name>
            <given-names>A. E.</given-names>
            <surname>Abioye</surname>
          </string-name>
          ,
          <string-name>
            <given-names>M. O.</given-names>
            <surname>Oluwe</surname>
          </string-name>
          , and
          <string-name>
            <surname>K. C. Okoro.</surname>
          </string-name>
          (
          <year>2014</year>
          ).
          <article-title>Effective fading reduction techniques in wireless communication system</article-title>
          .
          <source>IOSR Journal of Electronics and Communication Engineering</source>
          <volume>9</volume>
          , no.
          <issue>4</issue>
          (
          <year>2014</year>
          ):
          <fpage>35</fpage>
          -
          <lpage>43</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          3.
          <string-name>
            <surname>Khurana</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kumar</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Sharma</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          (
          <year>2017</year>
          ).
          <article-title>Performance evaluation of congestion control in MANETs using AODV, DSR and ZRP protocols</article-title>
          .
          <source>International Journals of Advanced Research in Computer Science and Software Engineering</source>
          , (ISSN:
          <fpage>2277</fpage>
          -
          <lpage>128X</lpage>
          ) Vol (
          <year>2017</year>
          ):
          <fpage>398</fpage>
          -
          <lpage>403</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          4.
          <string-name>
            <surname>Abolhasan</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Tadeusz</surname>
            ,
            <given-names>W.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Eryk</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          (
          <year>2004</year>
          ).
          <article-title>A review of routing protocols for mobile ad hoc networks</article-title>
          .
          <source>Ad hoc networks 2</source>
          , no.
          <issue>1</issue>
          (
          <year>2004</year>
          ):
          <fpage>1</fpage>
          -
          <lpage>22</lpage>
          . https://doi.org/10.1016/S1570-
          <volume>8705</volume>
          (
          <issue>03</issue>
          )
          <fpage>00043</fpage>
          - X
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          5.
          <string-name>
            <surname>Nayak</surname>
            ,
            <given-names>P.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Pallavishree</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          (
          <year>2015</year>
          ).
          <article-title>Analysis of random way point and random walk mobility model for reactive routing protocols for MANET using NetSim simulator</article-title>
          .
          <source>In 2015 3rd International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)</source>
          , pp.
          <fpage>427</fpage>
          -
          <lpage>432</lpage>
          . IEEE,
          <year>2015</year>
          . https://doi: 10.1109/AIMS.
          <year>2015</year>
          .
          <volume>87</volume>
          .
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          6.
          <string-name>
            <surname>Mehra</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mehajabeen</surname>
            <given-names>F.</given-names>
          </string-name>
          (
          <year>2020</year>
          ).
          <article-title>AODV and ZRP Analysis for Congestion in MANET</article-title>
          .
          <source>International Journal of Research in Engineering, Science and Management</source>
          Volume-
          <volume>3</volume>
          , Issue-5, May-2020
          <string-name>
            <surname>ISSN</surname>
          </string-name>
          (Online):
          <fpage>2581</fpage>
          -
          <lpage>5792</lpage>
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          7.
          <string-name>
            <surname>Sharma</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kumar</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          (
          <year>2020</year>
          ).
          <article-title>Performance Evaluation of MANETs with Variation in Transmission Power using Ad-hoc on-demand Multipath Distance Vector Routing Protocol</article-title>
          .
          <source>In 2020 5th International Conference on Communication and Electronics Systems (ICCES)</source>
          , pp.
          <fpage>363</fpage>
          -
          <lpage>368</lpage>
          . IEEE,
          <year>2020</year>
          . https://doi: 10.1109/ICCES48766.
          <year>2020</year>
          .
          <volume>9137954</volume>
          .
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          8.
          <string-name>
            <surname>Setijadi</surname>
            ,
            <given-names>E.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Purnama</surname>
            ,
            <given-names>K.E.</given-names>
          </string-name>
          &amp;
          <string-name>
            <surname>Pumomo</surname>
            ,
            <given-names>M. H.</given-names>
          </string-name>
          (
          <year>2018</year>
          ).
          <article-title>Performance comparative of AODV, AOMDV and DSDV routing protocols in MANET using NS2</article-title>
          .
          <source>In 2018 International Seminar on Application for Technology of Information and Communication</source>
          , pp.
          <fpage>286</fpage>
          -
          <lpage>289</lpage>
          . IEEE,
          <year>2018</year>
          . https://doi: 10.1109/ISEMANTIC.
          <year>2018</year>
          .
          <volume>8549794</volume>
          .
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          9.
          <string-name>
            <surname>Kumar</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Dhull</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Sharma</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Arora</surname>
            ,
            <given-names>P.</given-names>
          </string-name>
          &amp;
          <string-name>
            <surname>Dahiya</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          (
          <year>2019</year>
          ).
          <article-title>Evaluation of AODV and DYMO Routing Protocol using Generic, Micaz and Micamotes Energy Conservation Models in AWSN with Static and Mobile Scenario</article-title>
          .
          <source>Scalable Computing: Practice and Experience</source>
          <volume>20</volume>
          , no.
          <issue>4</issue>
          (
          <year>2019</year>
          ):
          <fpage>653</fpage>
          -
          <lpage>662</lpage>
          . https://doi.org/10.12694/scpe.v20i4.
          <fpage>1584</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          10.
          <string-name>
            <surname>Kumar</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Dhull</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Arora</surname>
            ,
            <given-names>P.</given-names>
          </string-name>
          &amp;
          <string-name>
            <surname>Luhach</surname>
            ,
            <given-names>A. K.</given-names>
          </string-name>
          (
          <year>2019</year>
          ).
          <article-title>Performance of Energy Conservation Models, Generic, Micaz and Micamotes, using AODV Routing Protocol on a Wireless Sensor Network</article-title>
          .
          <source>Scalable Computing: Practice and Experience</source>
          <volume>20</volume>
          , no.
          <issue>4</issue>
          (
          <year>2019</year>
          ):
          <fpage>631</fpage>
          -
          <lpage>639</lpage>
          . https://doi.org/10.12694/scpe.v20i4.
          <fpage>1563</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          11.
          <string-name>
            <surname>Kumar</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kumar</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          (
          <year>2012</year>
          ).
          <article-title>Comparative performance study of zone routing protocol over AODV and DSR routing protocols on constant bit rate (CBR)</article-title>
          .
          <source>IJCA (097S-8887) Volume</source>
          <year>4SNoA</year>
          , (
          <year>2012</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          12.
          <string-name>
            <surname>Singh</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Khurana</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          (
          <year>2017</year>
          ).
          <article-title>Performance Evaluation of DSR, OLSR and ZRP using NetSim Simulator</article-title>
          .
          <source>International Journal of Advanced Research in Computer Science</source>
          <volume>8</volume>
          , no.
          <issue>3</issue>
          (
          <year>2017</year>
          ):
          <fpage>346</fpage>
          -
          <lpage>349</lpage>
          .
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>