# 1 M.Tech, 2 HOD. Computer Engineering Department, Govt. Engineering College, Ajmer, Rajasthan, India

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2 Figure 2: DSR Request and Reply Message III. DESCRIPTION OF MOBILITY MODEL In this model use the specific waiting pause time to calculate random speed and random location of the mobile nodes [9]. Using the pause time it select a random location in simulation range and speed in between 0 to V_Max m/s. when the node reached at the final location, mobile nodes also waits again pause time seconds before choosing new point and new location and it speed. The node can move anywhere in the simulation area and given range, in particular simulation time node can move with instant time, the instant time is calculate when random location of nodes. Random way point is largely use for mobile d hoc network. The calculate performance of mobile nodes it necessary to use random way point mobility model [6]. It this model use nodal parameter using this user can change the simulation area, simulation time, pause time and the average speed of the node. It can also check the dynamic performance of routing protocol in different location with different time [11, 13]. In this model each and every node has some location and some to move the simulation area, as a record the model take it. Model set another location as the destination till node move slow or fast as given speed. If there user select less speed then node travel long time with low speed to reach at the destination, but the speed it near to V_Max so node travel short time to reach destination the average speed of the node will be 0m/s or V_Min. to solve this type of problem here model choose V_Min as 1m/s with average speed node as ½ of V_Max. Using the random way point mobility model we are can calculate the average speed of the nodes in simulation environment. The advantage of Random way point mobility model is that it is easy to implement [7, 8]. It generate the unprintable movement of the nodes, it also enabling a long running simulation to all consider in all location and coordinates. Figure 3: Random Waypoint Model Viewing Node Movement. IV. SIMULATION AND PERFORMANCE METRICES A. Simulation Model We are use the network simulator 2 version 35 for the animation, graphical study and comparison of the results. We have the Linux (ubuntu LTS) platform to simulate all the variables [12]. The Linux provides the many programming tool for the simulation. Random way point mobility model used for the random distribution of the mobile network and TCL script for generation of the simulation environment. CBR connection generates traffic. This script generate for the traffic between mobile nodes. B. Simulation Constraint All the simulation parameters are use for the simulation and summarized in table , IJARCSSE All Rights Reserved Page 1792

3 TABLE 1: SIMULATION PARAMETERS Parameter Value Channel Type Chanel/Wireless Channel Simulator NS2.35 Protocol DSR Simulation 500m Number of Nodes 50,100,150,200,250,300,350,400 Transmission Range 250m Mobility Model Random way point mobility model Processors Intel Core2duo and Intel Core i3 MAC layer Pause Time(s) 0,1,2 Maximum speed 20 m/s Minimum Speed 0.5 m/s Packet Rate 4 packet/s Traffic Type CBR Data payload 512 bytes/packet Max CBR connections 5, 10, 15 Range 1500m * 1500m C. Performance parameters To analysis of the performance of DSR routing protocols are check some performance metrics. Packet Delivery Ratio (PDR): Packet delivery mainly shows the data transmission sender to destination. The Packet delivery ratio is run top of the network layer. Its define as the packet generated by the source node by the application layer and number of packet received by the destination. Source sends data to destination that ratio is called the packet delivery ratio. PDR : (Pr / Ps)*100 Where Pr is total packet received & Ps is the total packet sent. End to End Delay: In the network delay is generate by many causes like buffering, retransmission delay, propagation and transfer times [8, 14]. The time is defined as when data is transmitting in network from source to destination. D = (Tr Ts), where Tr is received Time and Ts is Sent Time. V. SIMULATION RESULTS AND ANALYSIS In the simulation of DSR routing protocol use two different processor to check the dynamicity of routing protocol with random way point mobility model, antenna size, network range, different pause time and CBR connection at network range. Calculate the packet delivery ratio and the end to end delay of the DSR routing protocol. According to PDR and end to end delay values, analysis the dynamic performance of the DSR routing protocol. Packet Delivery Ratio (PDR) : - The packet delivery ratio mainly show the average data transmission of network at different processors (Core2 Duo & Core i3)and different mobile nodes. Figure 4 define the packet delivery ratio in two different hardware platforms considering core2duo and core i3processors. In figure 4 all the three images (a), (b) and (c) shows the graph plot between number of nodes and packet delivery ratio with core2duo and core i3 processor. In all three images red line shows core2duo processors and green lines shows core i3 processor as DSR2 and DSR3 respectively. According to the simulation when we change the pause time and number of connection in DSR routing protocol in mobile ad hoc network with respective to the number of nodes in both processors the packet delivery in decrease but processor core i3 have more PDR then core2duo in DSR routing protocol. In figure 4 (a) shows the simulation result for DSR routing protocol by considering the following parameters pause time 0 sec and number of connections 5 and varying mobile nodes 50 to 400. DSR protocol gives the best PDR in core i3 processor when varying the nodes in large network and core2duo gives the best result in small network. In figure 4 (b) shows PDR when pause time 1 sec and number of connection 10 with same mobile nodes. Here DSR gives the high PDR in core i3 processor for all networks. Figure 4: (a) Figure 4: (b) Figure 4: (c) 2015, IJARCSSE All Rights Reserved Page 1793

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