A Comparative Study and Analysis of Proactive and Reactive Routing Protocols in MANET Using NS3

Abstract

This thesis presents the comparative study and analysis of two different types of routing protocols Proactive and Reactive in MANET. This two routing protocols are basically part of the networking to improve the transmission of data perfectly. We have set different parameters and observed the result. The experiment shows us in change of nodes and sending packet size how those routing protocols are behave and gives us the best protocol to establish. In case increasing the nodes gives us particular results for different packet size and same for the increasing the packet size we get different results for different nodes. Specifically, we are using AODV from Re-active routing protocols and DSDV, OLSR from Pro-active routing protocols in MANET to observe Throughput, End to End delay, END to END Jitter delay, Average Throughput, Good put, Packet loss ratio, Packet delivery ration and Packet per second. We have the simulation runs for 70 simulated seconds, of which the first 50 are used for start-up time. The number of nodes is 50, 75, 100 and 125. Nodes move according to Random Way point Mobility Model with a speed of 20 m/s and no pause time within a 500x1000 m region. The WiFi is in ad hoc mode with a 2 Mb/s rate (802.11b) and a Friis loss model. The transmit power is set to 7.5 dBm. It is possible to change the mobility and density of the network by directly modifying the speed and the number of nodes. Here we specifically change the nodes and packet size to observe the different scenario. By default, there are 10 source/sink data pairs sending UDP data at an application rate of 2.048 Kb/s each. This is typically done at a rate of 4 64,128,256-byte packets per second. Application data is started at a random time between 50 and 51 seconds and continues to the end of the simulation. That’s how we observe the Throughput, End to End delay, END to END Jitter delay, Average Throughput, Good put, Packet loss ratio, Packet delivery ration and Packet per second scenario by changing parameters which are nodes and packet size.