# Performance Analysis of AODV, DSDV and DSR by using Different Mobility Models

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3 MN is then allowed to move randomly around its reference point via an entity mobility model. The new reference point for a given node is defined as:- New reference point = old reference point+ advanced vector Old reference point is the previous reference point of mobile node and advance vector is a predefined offset that moves the reference grid. The predefined offset that moves the reference grid is calculated by using a random distance and random angel. In this mobility model, the MNs roam closely around their respective reference points. When the reference grid moves, the MNS follow the grid and then continue to roam around their respective points. C) The Reference Point Group Mobility model represents the random motion of nodes in a group as well as the random motion of each individual MNs within the group [11]. Movements of group are based upon the path travelled by a logical centre of a group. The centre of the group is used to calculate group motion by using a group motion vector. The motion of the group canter is completely characterizes the movement of its corresponding MNS group, including their direction and speed. In this mobility model individual MNS randomly move about their own pre-defined reference points, whose movement depends on the movement of group. The individual reference points are moves from time t to t+1', and their locations are updated according to the group's logical centre. When the updated reference points are calculated, they are combined with the random motion vector, to represent the random motion of all MNs about its individual reference point. The Reference Point Mobility model was designed to illustrate scenarios such as an avalanche rescue. Throughout an avalanche recue, the responding team consisting of men and canine members work cooperatively. The men guides tend to set a general path for the monkeys to follow, however they usually know the approximate location of victims. The monkeys each create their own random paths around the general area selected by their men counterparts. IV.SIMULATION ENVIORNMENT In this work, we analyse the performance of Reactive and Proactive routing protocols within simulation time for different mobility (Random Waypoint Mobility model, Column Mobility model, Reference Point Group Mobility model) models. Simulation has been carried out by using Network Simulator (NS2). Constant Bit Rate (CBR) is used. Simulation environment area as 1000m x 1000m was selected with time 30 second for fixed maximum speed of 20m/s. A) Simulation Parameters Parameter Value Routing Protocol AODV, DSR, DSDV Simulation time 30 sec Environmental size 1000x1000 m Number of nodes 5, 10, 15, 20, 25, 30, 35, 40 Traffic source CBR Maximum speed 20 m/s Packet size 512 byte Antenna Omni directional Random way point Mobility models mobility, Group mobility, Column mobility B) Performance Metrics For the simulation results, we have selected the following parameters as a metrics to evaluate the performance of the different protocols: 1. Throughput: It is defined as the total number of packets received by the destination, or how much data packets correctly delivered to the destination. 2. Packet delivery ratio: It is the ratio of the number of data packets delivered to destination. In other words, it depicts the level of delivered data to destination. Copyright to IJAREEIE

4 PDR = number of packet receive / number of packet sent 3. End to end delay: It is the average amount of time taken by a packet to reach from source to destination. All possible delays are included due to retransmission delays, route discovery latency and transfer times. (arrive time-send time)/ number of connections 4. Normalized routing load: is the fraction of all routing control packets sent by each node over the number of received data packets at the destination nodes. We can say that, it is the ratio among the total number of routing packets sent over the network to the total number of data packets received. V. RESULT AND DISCUSSION The simulation results are focused to analyse the performance of routing protocols based on throughput, end to end delay, normalized routing load and packet delivery ratio. The results are compared between AODV, DSDV and DSR protocols on the basis of three different mobility models. A) Average Throughput Throughput indicate rate of communication per unit time. Throughput in this experiment evaluate for AODV, DSDV and DSR for all these three mobility models. Fig. 1 shows the throughput (bytes per simulation time 30 sec) versus increasing number of nodes of protocols by using column mobility of nodes in given environment. In this AODV perform better than other protocols, but in lesser number of nodes performance of all protocols is almost same. Fig. 1 Throughput vs number of nodes in column mobility model Throughput of protocols with respect increasing nodes for group mobility model is shown in Fig. 2. It shows that throughput of AODV is good than DSR, and DSDV perform least. In Fig. 3, throughput by using random mobility model is much better than other two mobility models. In this case all three protocols perform better but AODV is much better. Fig. 2 Throughput vs number of nodes in group mobility model Copyright to IJAREEIE

5 Fig.3 Throughput vs number of nodes in random way point mobility model B) Packet delivery ratio It is the ratio of data packets delivered to the destination to those generated by the source. It is calculated by dividing the number of packet received by the destination through the number of packet originated by the source. The packet delivery ratio of AODV, DSDV and DSR versus increasing number of nodes, Fig. 4 shows the PDR by using column mobility model of nodes. PDR of AODV is good for lesser number of nodes but when nodes increase then PDR fall down. In case of group mobility model shown in Fig. 5 DSR have highest PDR, but DSR have lowest value of PDR. Fig. 6 shows the PDR of random waypoint mobility model, which have very highest value of PDR with all protocols. AODV have high value of PDR but DSR and DSDV have almost same but lower then AODV. Fig.4 Packet delivery ratio vs number of nodes in column mobility model Fig. 5 Packet delivery ratio vs number of nodes in group mobility model Copyright to IJAREEIE

6 Fig. 6 Packet delivery ratio vs number of nodes in random way point mobility model C) End to end delay It is the amount of time taken by packet to reach from one node to other. Fig. 7 shows end to end delay versus increasing number of nodes by using column mobility model. At lesser number of nodes the e2e delay of DSR is at its peak value but DSDV at its least value, after increasing number of nodes e2e of DSR start decreasing but oppositely DSDV and AODV start increasing. Fig. 8 shows e2e delay when group mobility model is used, DSR have higher e2e delay but DSDV have least. Fig. 9 shows random way mobility have higher values of delay. DSR is on its lowest value and DSDV have its largest point. With the increasing number of nodes the delay of these protocols gradually decreasing. Fig. 7 End to end delay vs number of nodes in column mobility Fig. 8 End to end delay vs number of nodes in group mobility Copyright to IJAREEIE

7 Fig. 9 End to end delay vs number of nodes in random way point mobility D) Normalized routing load It is the metadata and network routing information sent by a source node to destination node, which uses a portion the available bandwidth of a protocol. Fig. 10 shows the NLR versus number of nodes when column mobility model was used. In this AODV have a higher NLR but DSV is on bottom. Initially value of NLR is zero, but with number of nodes it s gradually starts increasing. Value of NLR in DSDV is very lesser. In case of group mobility model shown in Fig.11, NLR is high when routing protocol is DSR and less when DSDV. Figure12 shows the normalized routing load when random way point mobility model is used. It shows a less values of DSDV but high value of DSR and AODV. Fig. 10 Normalized routing load vs number of nodes in column mobility Fig. 11 Normalized routing load vs number of nodes in group mobility Copyright to IJAREEIE

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ISSN (Print): 1694 0814 10 Measure of Impact of Node Misbehavior in Ad Hoc Routing: A Comparative Approach Manoj Kumar Mishra 1, Binod Kumar Pattanayak 2, Alok Kumar Jagadev 3, Manojranjan Nayak 4 1 Dept.

### An Extensive Simulation Analysis of AODV Protocol with IEEE MAC for Chain Topology in MANET

An Extensive Simulation Analysis of AODV Protocol with IEEE 802.11 MAC for Chain Topology in MANET V.K.Taksande 1, Dr.K.D.Kulat 2 1 Department of Electronics & Communication, Nagpur University Priyadarshini

### Mobile Adhoc Network Protocols Simulation: Distance Vector vs Source Routing Comparison

Mobile Adhoc Network Protocols Simulation: Distance Vector vs Source Routing Comparison Zohra Kebir, Mohammed Omari * and Hasna Soulimani LDDI Laboratory, Mathematics and Computer Science Department Faculty

### Performance Comparison of DSDV, AODV, DSR, Routing protocols for MANETs

2012 International Conference on Computer Networks and Communication Systems (CNCS 2012) IPCSIT vol.35(2012) (2012) IACSIT Press, Singapore Performance Comparison of DSDV, AODV, DSR, Routing protocols

### QoS Parameter Analysis on AODV and DSDV Protocols in a Wireless Network

QoS Parameter Analysis on AODV and DSDV Protocols in a Wireless Network Vijayalaskhmi M. 1, Avinash Patel 2 B.V.B college of Enginering & technology Department of Computer Science & Engineering Hubli 580031

### Review paper on performance analysis of AODV, DSDV, OLSR on the basis of packet delivery

IOSR Journal of Computer Engineering (IOSR-JCE) e-issn: 2278-0661, p- ISSN: 2278-8727Volume 11, Issue 1 (May. - Jun. 2013), PP 51-55 Review paper on performance analysis of AODV, DSDV, OLSR on the basis

### Performance evaluation of reactive and proactive routing protocol in IEEE ad hoc network

Author manuscript, published in "ITCom 6 - next generation and sensor networks, Boston : United States (26)" DOI :.7/2.68625 Performance evaluation of reactive and proactive routing protocol in IEEE 82.

### Performance Analysis of DSR, AODV Routing Protocols based on Wormhole Attack in Mobile Adhoc

International Journal of Wireless Networks and Communications. ISSN 0975-6507 Volume 4, Number 1 (2012), pp. 19-29 International Research Publication House http://www.irphouse.com Performance Analysis

### AODV-PA: AODV with Path Accumulation

-PA: with Path Accumulation Sumit Gwalani Elizabeth M. Belding-Royer Department of Computer Science University of California, Santa Barbara fsumitg, ebeldingg@cs.ucsb.edu Charles E. Perkins Communications

### Performance Analysis of DSR, AODV Routing Protocols based on Wormhole Attack in Mobile Ad-hoc Network

Performance Analysis of DSR, AODV Routing Protocols based on Wormhole Attack in Mobile Ad-hoc Network Gunjesh Kant Singh, Amrit Kaur and A.L. Sangal Email: E-mail: Gunjesh31@gmail.com, amrit.tiet@gmail.com,

### A Performance Comparison of Multi-Hop Wireless Ad Hoc Network Routing Protocols

A Performance Comparison of Multi-Hop Wireless Ad Hoc Network Routing Protocols By Josh Broch, David A. Maltz, David B. Johnson, Yih- Chun Hu, Jorjeta Jetcheva Presentation by: Michael Molignano Jacob

### COMPARITIVE ANALYSIS OF ROUTING PROTOCOLS IN MOBILE ADHOC NETWORKS

COMPARITIVE ANALYSIS OF ROUTING PROTOCOLS IN MOBILE ADHOC NETWORKS Er. Upasana garg 1, Dr. Vikram Singh 2 1 Student, Computer Science and Application Deptt, CDLU, Sirsa, Haryana, India,upasna.garg44@gmail.com

### Evaluation of Routing Protocols for Mobile Ad hoc Networks

International Journal of Soft Computing and Engineering (IJSCE) Evaluation of Routing Protocols for Mobile Ad hoc Networks Abstract Mobile Ad hoc network is a self-configuring infrastructure less network

### Gurleen Kaur Walia 1, Charanjit Singh 2

Simulation based Performance Evaluation and Comparison of Proactive and Reactive Routing Protocols in Mobile Ad-hoc Networks Gurleen Kaur Walia 1, Charanjit Singh 2 1,2 UCoE Department, Punjabi University,

### Relative Performance Analysis of Reactive (on-demand-driven) Routing Protocols

Relative Performance Analysis of Reactive (on-demand-driven) Routing Protocols Mukesh Kumar Garg, Dr. Ela Kumar Abstract A Mobile Ad Hoc Network (MANET) is a group of wireless mobile computers (or nodes);

### A Novel Review on Routing Protocols in MANETs

Robinpreet Kaur & Mritunjay Kumar Rai Department of Electronics and Engineering, Lovely Professional University, Phagwara, Punjab, India E-mail : robin_turna@yahoo.com, raimritunjay@gmail.com Abstract

### Study on Indoor and Outdoor environment for Mobile Ad Hoc Network: Random Way point Mobility Model and Manhattan Mobility Model

Study on and Outdoor for Mobile Ad Hoc Network: Random Way point Mobility Model and Manhattan Mobility Model Ibrahim khider,prof.wangfurong.prof.yinweihua,sacko Ibrahim khider, Communication Software and

### Content. 1. Introduction. 2. The Ad-hoc On-Demand Distance Vector Algorithm. 3. Simulation and Results. 4. Future Work. 5.

Rahem Abri Content 1. Introduction 2. The Ad-hoc On-Demand Distance Vector Algorithm Path Discovery Reverse Path Setup Forward Path Setup Route Table Management Path Management Local Connectivity Management

### Mitigating Superfluous Flooding of Control Packets MANET

Mitigating Superfluous Flooding of Control Packets MANET B.Shanmugha Priya 1 PG Student, Department of Computer Science, Park College of Engineering and Technology, Kaniyur, Coimbatore, India 1 Abstract:

### Performance Comparison of AODV, DSDV and I-DSDV Routing Protocols in Mobile Ad Hoc Networks

European Journal of Scientific Research ISSN 145-216X Vol.31 No.4 (29), pp.566-576 EuroJournals Publishing, Inc. 29 http://www.eurojournals.com/ejsr.htm Performance Comparison of, and I- Routing Protocols